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    The Transformation and Observations of AI for Science (AI4S) Driven by Artificial Intelligence
    SUN Tan, ZHANG Zhixiong, ZHOU Lihong, WANG Dongbo, ZHANG Hai, LI Baiyang, YONG Suhua, ZUO Wangmeng, YANG Guanglei
    Journal of Library and Information Science in Agriculture    2023, 35 (10): 4-33.   DOI: 10.13998/jcnki.issn1002-1248.23-0850
    Abstract271)      PDF(pc) (3695KB)(89)       Save
    " AI for Science " (AI4S) is a new scientific research paradigm that deeply integrates AI technology with scientific research to promote the discovery of new knowledge and the solution of scientific problems. As the application of AI4S in the natural sciences and humanities and social sciences advances, its development line, opportunities and challenges, needs and tasks, and ways of realization deserve further discussion. In order to advance AI4S research, promote scientific and technological (S&T) innovation and progress, and facilitate the effective strengthening of the discipline of information resources management, our journal has invited seven experts to organize this academic conversation on AI4S. 1) Supporting knowledge services for AI4S: In the current landscape of intelligent knowledge services, the requirements for supporting AI4S have increased, including the need for multi-level knowledge discovery and acquisition, cross-disciplinary research and innovation, and user-friendly participatory services. In addition, knowledge service scenarios are moving towards diversification, complexity, depth, specialization, and personalization in ubiquitous knowledge discovery, generative content services, and multi-round interactive service exploration. In response, professional science and technology information organizations need to reassess the role of knowledge services in the AI4Science environment and their significance in comprehensively supporting the S&T innovation process. This involves establishing a broad literature perspective, deepening full-text knowledge elements, balancing universal and specialized depth, autonomously developing core products, and deeply engaging with professional fields to support interdisciplinary innovation. 2) Building the knowledge base of AI4S: The essence of artificial intelligence (AI) lies in the acquisition and use of knowledge, and scientific and technological (S&T) literature is the primary carrier of human knowledge. Fully recognizing the paradigm shift in scientific research brought about by AI, the Document Information Center of the China Academy of Sciences has proposed the concept of building a S&T literature knowledge base for AI4S. It is actively exploring the scientific knowledge and high-quality data contained in the S&T literature, strives to build a domain intelligent knowledge base for AI4S, and transforms the "S&T literature database" into a "scientific knowledge engine" that supports intelligent services such as query evidence, situational awareness, inference prediction, and generation of insights required by AI4S. 3) Powering AI4S with scientific data: Effective aggregation of scientific data is the foundation for unleashing the powerful capabilities of AI4S. This is essential for libraries to adapt their roles and functions in the AI era and is a crucial prerequisite for catalyzing the transformation of scientific research services, deepening scientific research support, and accelerating S&T innovation. Currently, libraries face various macro and meso challenges in effectively aggregating valuable scientific data to provide support for AI4S. To address these challenges, the following ways can be pursued: defining the roles and functions of libraries in scientific data management; promoting a conducive environment for scientific data management; establishing a collaborative network for scientific data management; and enhancing the service capacity of scientific data management. 4) AI4S and intelligent language modeling for classical literature: AI4S technology can be used to analyze documents and texts, enabling a faster and more comprehensive understanding of a vast amount of historical documents and cultural materials. The development of intelligent language modeling for classical literature represents a significant breakthrough in the field of ancient literature research, bringing new opportunities and challenges. With the increasing popularity of multimodal and generative GPT models in the context of AI4S, the intelligent language modeling of classical literature will focus on integrating diverse information, enhancing adaptability, improving knowledge representation, and addressing a wider range of application scenarios. 5) Library Digital Scholarly Services for AI4S: The concept of using LLM-based AI4S and AIGC to drive the development of smart libraries is consistent with the vision for digital scholarly services in libraries, and presents both opportunities and challenges. Given the trends towards AI4S platformization and the characteristics of "middle-end" digital scholarly service, as well as the longstanding tradition of libraries in serving scholarly research, the reengineering path for the library's digital scholarly services platform includes three approaches: building an AI4S service platform independently, purchasing and utilizing third-party AI4S platforms, and promoting embedded knowledge services as a component of scientific intelligence. This innovative approach addresses the dilemmas of financial resources, human resources, cognitive and practical gaps, and emphasizes the importance of user needs in the AI4S environment. It also focuses on knowledge organization and service delivery to meet user needs in the AI4S landscape. 6) Historical evolution and logical structure of the scientific intelligence paradigm (AI4S): AI4S is a scientific paradigm change dominated by the full application of AI technology to various disciplines, and its logical structure includes "data+model"-driven, knowledge ecology created by machine conjecture, and application scenarios expanded by algorithmic thinking. In the era of digital civilization, AI4S-driven scientific progress and social development must carry forward the value of science and technology for the good, effectively select the theoretical arguments and proposals for extending AI4S to the field of social sciences and humanities, and improve the series of mechanisms for integrating human decision-making and machine intelligence. 7) Development opportunities and prospects of AI4S in the era of generative AI: With the advances in generative AI, pre-training algorithms and large-scale pre-trained models have provided significant opportunities for AI4S in various disciplinary domains. These technologies have shown immense potential and value for applications in diverse fields such as industrial inspection, robotics, and medicine. Additionally, it is crucial to emphasize the importance of key factors such as the constraints of technical implementation conditions for large pre-trained models, the sustainability of data/computing resources, and the transparency, fairness, and accessibility of the technology.
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    Research of the Impact of LLMs on Information Retrieval Systems and Users' Information Retrieval Behavior
    GUO Pengrui, WEN Tingxiao
    Journal of Library and Information Science in Agriculture    2023, 35 (11): 13-22.   DOI: 10.13998/j.cnki.issn1002-1248.23-0573
    Abstract247)      PDF(pc) (970KB)(292)       Save
    [Purpose/Significance] This article is aimed to explore the impact of artificial intelligence generation technologies such as large language models (LLMs) on users' information retrieval behavior and to suggest ideas for information retrieval systems and information resource construction. In this way, it provides insights into and references for the future establishment of the artificial intelligence generated content (AIGC) information platform with Chinese characteristics as well as the information literacy education system. [Method/Process] In the field of library intelligence, with the wide application of AI technology in information service work, LLMs represented by ChatGPT have also become a hot topic of discussion. Taking the booming development of LLMs such as ChatGPT as background, we analyzed the impact of the increasing popularity of this technology on information retrieval systems and user retrieval behavior from the perspective of user information behavior by combining the technical features of LLMs with the characteristics of existing products. Literature survey and empirical analysis were used. [Results/Conclusions] The use of LLMs as information retrieval systems has unparalleled advantages over traditional products. These advantages include the ability to understand and process natural language queries, generate relevant and context-specific responses, and interact with users in a more human-like way. The application of LLMs in information retrieval systems has the potential to transform the way users search for information, influence the underlying logic, action priorities, and retrieval expectations of user information retrieval behavior. However, the existing shortcomings of LLMs in terms of reliability and accuracy still make it difficult for them to replace traditional information retrieval methods immediately. Language models may not always provide accurate and reliable answers, especially when dealing with complex or domain-specific queries. Additionally, LLMs may struggle to understand and process contextual information effectively, leading to limitations in their ability to extract relevant and context-aware insights. It is recommended to pay attention to this technology in the construction of information retrieval systems and information resources, and to explore the combination of LLMs and information services in order to cope with the changes in future user information needs and to further make full use of the value of existing information resources. Limited by the lack of expertise in the field of AI and the fact that LLMs are not yet widely used in practice in China, the research findings are only a reflection and exploration of the impact of LLMs on users' information behavior.
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    Twenty Years of Left-Behind Children Education in Rural China: Based on Structural Topic Model
    WANG Xing, LI Yeye, ZHOU Tianyu, LIU Feng
    Journal of Library and Information Science in Agriculture    2023, 35 (9): 43-56.   DOI: 10.13998/j.cnki.issn1002-1248.23-0691
    Abstract198)      PDF(pc) (3126KB)(272)       Save
    [Purpose/Significance] The introduction of national poverty alleviation policies and rural revitalization strategies has thrust the issue of education for left-behind children into the spotlight of scholarly attention. Education, far beyond serving as a mere instrument for personal growth and human capital accumulation for left-behind children, emerges as a pivotal measure in consolidating rural poverty alleviation endeavors and breaking the transmission of intergenerational poverty in China. It stands as a vital force propelling the future of rural revitalization. Yet, the existing literature on the education of left-behind children remains sporadic and dispersed. A more profound organizational effort, integrating, synthesizing, and evaluating this scattered literature, is imperative to establish a foundational framework for future research, fostering more cohesive and focused research endeavors. Presently, literature review studies primarily fall into three categories: qualitative review methods, meta-analysis, and bibliometric analysis methods employing tools like Citespace. This study sets out to achieve a systematic and comprehensive understanding of education-related issues for rural left-behind children through text mining methods grounded in topic models. [Method/Process] The advent of artificial intelligence and machine learning technologies has empowered the processing and analysis of vast amounts of textual data. Previous research, employing latent dirichlet allocation (LDA) topic models, successfully mined texts related to teacher team construction reform policies, internationalization in higher education literature, news reports, and online comments. In this study, a corpus was meticulously constructed using abstract texts extracted from 2037 journal articles published between 2002 and 2023. The structural topic model (STM) was chosen for topic modeling, overcoming the limitations associated with LDA, with a specific emphasis on exploring the diversity and dynamism of topics within the existing literature. [Results/Conclusions] The culmination of this research effort identified eight distinct research themes: psychological well-being, factors leading to left-behind children, macro-level coping strategies, types of guardianship, review studies, family education, media literacy, and micro-level coping strategies. By synergizing document metadata information, the study systematically unraveled the evolving trends of these topics over time, providing crucial insights into potential shifts in the focus of left-behind children's education research. It is essential to note that this study, while collecting abstracts instead of full texts, may not capture the entirety of information contained in complete research articles. Future research endeavors should explore left-behind children's education more comprehensively, leveraging full-text mining techniques for a more nuanced understanding of this critical subject.
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    Building an Scientific and Technological Talent Database for New Quality Productive Forces
    LI Mengli, WANG Ying, QIAN Li, XIE Jing, CHANG Zhijun, JIA Haiqing
    Journal of Library and Information Science in Agriculture    2024, 36 (2): 15-25.   DOI: 10.13998/j.cnki.issn1002-1248.24-0175
    Abstract192)      PDF(pc) (4077KB)(247)       Save
    [Purpose/Significance] Talent data have become the most important production factor and strategic resource. Building a scientific and technological (S&T) talent database has become an inevitable way to narrow the digital divide and accelerate the digital and intelligent transformation of talent work. Therefore, this study builds an S&T talent database to promote scientific decision-making for talent development, precision in attracting new quality technical talent, reform in evaluating S&T talents, and building talent system for new quality productive forces. [Method/Process] By analyzing the practical requirements and significance of building an S&T talent database, this study first explores and analyzes the intrinsic logic of promoting the development of new quality productive forces through an S&T talent database. It then summarizes the challenges facing the current construction of a S&T talent database, including the scattering and concealment of S&T talent data, the lack of policies and standardized systems for S&T talent data, the inadequate exploration of value-added S&T talent data, the need to expand the application of digital technology in talent work, and the security risks of S&T talent data. In response to these challenges, this paper finally proposes the idea of building an S&T talents database, and introduces the research exploration and application practice on it, including the construction of big data database for S&T talent aimed at the development of new quality productive forces, the development of AI-powered talent data computing engine, research into the system for profiling new quality technical talent, the analysis of talent growth paths for the training of new quality technical talent, the identification method of new quality talented professionals based on big data, the development of an efficient digital platform for talent management, and the development of a strategic analysis platform for technical talent. [Results/Conclusions] The construction of S&T talent database is an objective requirement for the development of the digital era and an inevitable requirement for the formation of new quality productive forces. Building big data for S&T talent, empowering talent workflow with big data and artificial intelligence technology can help empower talent workflow, release the enormous energy contained in digitalization, effectively activate the internal momentum of talented professionals, institutions, society, and government, and then continuously improve the efficiency of talent resource allocation, the operational efficiency of talent work, the overall effectiveness of talent development governance, and promote the development of new quality productive forces.
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    Developing the New Quality Productivity: Responses and Reflections on the Discipline of Information Resource Management
    XIA Yikun, JIANG Jie, ZHANG Xiaheng, WANG Jiandong, ZHOU Wenjie, YANG Xinya, LI Yang
    Journal of Library and Information Science in Agriculture    2024, 36 (1): 4-32.   DOI: 10.13998/j.cnki.issn1002-1248.23-1101
    Abstract187)      PDF(pc) (5126KB)(267)       Save
    The scientific connotation, strategic considerations and practical ways of "new quality productive forces" have received wide attention from the political, academic and industrial circles. Cultivating and developing new quality productive forces means fundamentally changing the mode of production. It is necessary to grasp the practical direction of new quality productive forces from their scientific connotation and internal logic, and explore the scientific way of cultivating and developing the new quality productive forces from China's national conditions. As an important engine of economic development in the new era, its connotation characteristics, development path, opportunities and challenges are worthy of further discussion. For this reason, seven experts were invited to share their perspectives. 1) The deep logic and realization path of the construction of new quality productive forces and high-quality data resources. This paper discusses in depth the background and connotation characteristics of the high-quality data resources, and analyzes the internal logic of the mutual promotion between high-quality data resources and the development of new quality productivity. It is proposed that the construction of high-quality data resources must implement the concepts of innovation, coordination, openness, credibility and sustainability, and follow the construction strategies of concept innovation, model innovation, structural innovation and technological innovation. 2) The theoretical logic and practical path of data elements empowering new quality productive forces. In the new era of green and intelligent development, there is a profound dialectical relationship between data elements and new quality productive forces, and a new situation of economic and social development is accelerated in the spiral ascent of complementarity. We should comprehensively build a data space governance model with clear data ownership, smooth data path, guaranteed data quality and orderly and standardized algorithm computing power, expand new quality production capacity and production factors with the goal of human-machine cooperation and promote sustainable economic and social development. 3) Accelerating the promotion of data rights. Data can act on new quality productive forces from the technical, factor and industrial dimensions, and accelerate the formation of new quality productive forces. The multiplier effect of data elements on new quality productive forces will involve many dimensions, levels and stages, the most important and fundamental of which is how to determine the ownership of data. The measures for speeding up the promotion of new quality productive forces are discussed, such as constructing the theory of property rights in accordance with the characteristics of data and the law of development of new quality productive forces, speeding up the clarification of the types and scope of data confirmation, and improving the supporting system of data confirmation. 4) Promoting China's modernization path with Chinese-style digitization. Accelerating the promotion of Chinese-style digitization is not only the only way to realize Chinese-style modernization, but also the core to fully release new quality productive forces and build China's asymmetric competitive advantage under the new situation. It is suggested that in the process of digitalization and informatization in China, the information resource management industry plays a vital role and bears the important responsibility of digital transformation. 5) Interpreting the mission of public libraries from the perspective of new quality productive forces. Since its establishment, public libraries have been based on the concept of enlightenment. Faced with the profound digital transformation of society, today's public libraries need to further develop the potential of empowering the people in the field of digital economy and make them play an active role in the development of new quality productive forces. Public libraries need to further develop their potential to empower people in the field of digital economy, so that they can play an active role in the development of new quality productive forces. They should actively participate in data commercialization, promote the effective use of data elements and the efficiency of resource allocation, and enable more people to obtain and use data elements equally through open access and digital services. 6) The intelligent transformation of university libraries from the perspective of new quality productive forces. In the process of developing new quality productive forces, we should fully understand the profound meaning of new productive forces, based on the core tasks of providing a strong guarantee for the development of new quality productive forces in higher education, grasp the development opportunities, and realize the high-quality development of the industry. This paper explains the understanding of university libraries on the three key words of new quality productive forces, and proposes that the re-understanding and realization of library intelligence is an important starting point for the development of new productive forces. 7) To support information resource management discipline to accelerate the development of new quality productive forces. From the perspective of information resource management discipline, this paper analyzes several aspects of "doing something" under the rise of new quality productivity concept, including theoretical system, information resource guarantee, information analysis and consultation, scenario building, knowledge popularization and civic literacy cultivation. The content of academic evaluation, information policy, intellectual property rights, digital consumption behavior and other directions related to new quality productivity are also important directions that the discipline needs to pay attention to.
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    Bidirectional Empowerment Between Knowledge Service and New Quality Productive Forces Theoretical Interpretation and Practical Path
    ZHAO Ruixue, LI Tian, GUAN Zhihao, XIAN Guojian, KOU Yuantao, SUN Tan
    Journal of Library and Information Science in Agriculture    2024, 36 (2): 4-14.   DOI: 10.13998/j.cnki.issn1002-1248.24-0171
    Abstract175)      PDF(pc) (1196KB)(208)       Save
    [Purpose/Significance] New quality productive forces is the latest pattern of productivity development under the background of data-driven intelligence. To explore the mechanism and practical way of bidirectional empowerment of knowledge service and new quality productive forces has important theoretical and practical significance for giving full play to the effectiveness of new quality of data elements, new power of digital intelligence technology and new application of intelligent service, so as to promote the cultivation of new quality productive forces and improve knowledge service. [Method/Process] Based on the summary of the development process of knowledge service and the new interpretation from the perspective of new quality productive forces, this study analyzes the internal relationship and external manifestations of the bidirectional empowerment of knowledge services and new quality productive forces, constructs the bidirectional empowerment mechanism of knowledge services and new quality productive forces, and proposes the bidirectional empowerment path. [Results/Conclusions] "Factor reorganization, scientific and technological innovation, and quality service" has become the internal relationship between knowledge service and new quality productive forces. Data factor as the core production factor, digital intelligence technology as the key production technology, and intelligence-driven new business forms and new models as the common carrier, which is an important basis for intelligent knowledge service and new quality productive forces bidirectional empowerment mechanism. Intelligent knowledge service cultivates the new quality productive forces through three important ways: accelerating scientific and technological innovation, opening up new ways and creating new business forms. New quality productive forces drives the development of intelligent knowledge service and improves the service by solving the resource dilemma, technology dilemma and talent dilemma, and creating new competitive advantages. This is an important manifestation of the bidirectional empowerment mechanism of new quality productive forces and intelligent knowledge service. After clarifying the empowerment basis and the performance of the bidirectional empowerment mechanism, this study proposes that the two kinds of empowerment should be realized from the following four aspects: a) Taking the market demand as the guide by mining new value and responding to new demand, and grasping the new quality growth engine; b) Taking data elements as the center, the compacting intelligent driving base is realized by building the data element empowerment system and improving the standardization of element utilization; c) Taking technological innovation as the key way by releasing the potential of key elements and creating fusion application scenarios to consolidate the foundation of fusion application; d) Starting from the application scenario as the starting point, the bidirectional empowerment mechanism is put into practice in various fields.
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    AIGC Technology Enables Innovative Applications in Library Reading Promotion
    LI Peng, SONG Xigui
    Journal of Library and Information Science in Agriculture    2023, 35 (12): 84-93.   DOI: 10.13998/j.cnki.issn1002-1248.23-0831
    Abstract142)      PDF(pc) (4849KB)(112)       Save
    [Purpose/Significance] Reading promotion has been a basic and normalized activity in libraries, and has been carried out for many years. Although it has achieved remarkable results in promoting the dissemination of knowledge and culture, it has reached a developmental bottleneck that urgently requires innovative breakthroughs. The introduction and application of artificial intelligence generated content (AIGC) technology can innovate the content and form of the library work, and promote the connotative development of library services. Currently, there is limited research on the application of AIGC in library reading promotion, with most studies focusing on theoretical discussions of work scenarios rather than practical applications. The aim of this article is to explore new technology applications in new scenarios to help solve common problems in the field. [Method/Process] Through literature research and case analysis, based on the characteristics of AIGC content, we look forward to AIGC empowering library reading promotion scenarios, including inspiring activity creativity, and enriching work forms; creating reading IP, and forming work brands; promoting in-depth and professional reading, and optimizing work content; strengthening service management, and promoting the construction of work evaluation standards. Taking the "New Book Recommendation" activity as an example, we analyze work application elements such as planning, promotion, organization, and evaluation, and construct a work model suitable for the scenario. [Results/Conclusions] Although AIGC has great potential and broad prospects for application in library reading promotion, it faces many application challenges, such as the need for a change in librarians' work mindset, issues of data privacy and ethics, and the quality and accuracy of generated content. This paper discusses the application paths of AIGC in library reading promotion, including strengthening skills training to comprehensively enhance librarians' new literacy in the AI era; exploiting the role of "AI prompter" to deepen reading services; building a rich database of event data corpora to ensure digital content generation; and improving rules for content review and quality control. Compared to other information resource management tasks, such as reference consulting and academic services, the impact of AIGC is relatively mild. AIGC is applied as a tool for reading promotion, with librarians remaining the primary actors, and the implementation of work elements is still carried out within the existing work framework. The discussion of AIGC applications in library reading promotion practice in this paper offers methodological insights for library reading promotion, with scenario elaboration, model construction, and path generation facilitating the realization and broad application of these related services. The limitation of this study, however, is the lack of concrete data on the effectiveness of the work discussed, which requires further research.
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    Online Social Spammer Detection Based on Deep Learning
    ZHANG Jiyang, ZHANG Peng, GONG Siyu, SONG Naipeng
    Journal of Library and Information Science in Agriculture    2023, 35 (12): 49-59.   DOI: 10.13998/j.cnki.issn1002-1248.23-0813
    Abstract119)      PDF(pc) (1249KB)(175)       Save
    [Purpose/Significance] The development of the Internet has led to the rapid development of social networks, providing users with a convenient channel for the release, dissemination and acceptance of information. However, its low-threshold characteristics have also given rise to a group of the "Internet water army"--online social spammers, who are paid to post online comments with particular content and spread false information on purpose. They have become a major problem for the Internet ecology. It is of great significance to detect the Internet water army, prevent their malicious attacks, and combat and eliminate their negative effects on the security of the online public opinion. [Method/Process] First, we analyzed the development process and characteristics of the online social spammers, summarized the algorithms used in previous studies and the characteristics mentioned, and sorted out three research starting points: text features, interaction features and graph structure features. Then, an online social spammer detection method based on deep learning was proposed. Combined with the three aspects of user basic information, historical remarks and interaction behavior, six types of features were extracted from the basic information, recent remarks, social intimacy, interaction behavior, microblog number and membership level. Through feature depth extraction and vector splicing and fusion, the user feature vectors were formed with the same length. Finally, a convolutional neural network was used as a classifier to build an automatic, high-precision and high-efficiency spammer detection model. Two Chinese online spammer datasets collected from the Sina Weibo platform were selected for the experiment. The features of the datasets were spliced and aligned to form the Weibo Spammer 2023 dataset as the model training dataset, which prevented the data features of a single dataset from being too discrete and reducing modle generalization. Considering the overfitting problem in the model training process, we solved the problem by adding abandoned layers. [Results/Conclusions] The online spammer detection model constructed in this experiment has significantly improved in terms of metrics such as precision and accuracy. At the same time, the ablation experiment shows that the six features extracted in this experiment have a positive effect on the detection process. Through empirical analysis, the model constructed in this paper has a high detection accuracy and detection efficiency, which can provide certain technical support and theoretical guidance for online spammer identification. By using machine learning methods to actively identify online social spammer accounts, real-time monitoring and prevention of key spammer accounts can prevent the occurrence of malicious network events more timely and effectively and reduce the risk of illegal forces damaging the public opinion ecology.
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    Review of Full Text Citation Analysis
    LI Dian, WEN Tingxiao, XU Linyong
    Journal of Library and Information Science in Agriculture    2023, 35 (9): 15-27.   DOI: 10.13998/j.cnki.issn1002-1248.23-0428
    Abstract118)      PDF(pc) (997KB)(142)       Save
    [Purpose/Significance] Citation analysis is an important research field of biblio-metrics, which aims to investigate the citation behavior and academic influence of literature by analyzing the citation relationship of literature. Specifically, full-text citation analysis can help researchers understand the citation relationship and academic impact of the literature more accurately and comprehensively. This paper aims to clarify the development of full-text citation analysis, review the different progress of full-text citation research, and on this basis, attempt to analyze the challenges of full-text citation analysis and the possible development direction in the future in order to better promote the development of citation analysis of the full text. [Method/Process] Key words and search formulas were determined on the CNKI database and the Web of Science database, and then the retrieved results were screened and filtered according to the summary. This paper reviews the research results of full-text citation analysis at home and abroad, and summarizes the research contents of full-text citation analysis into citation location analysis, citation intensity analysis and citation context analysis. Citation context analysis can be divided into word selection, emotion analysis, motivation and behavior analysis. At the same time, the application of citation analysis in interdisciplinary and scientific evaluation is analyzed. A summary of the differences in research content and application of full-text citation analysis at home and abroad was provided. [Results/Conclusions] The current research on citation analysis of the full text has an important connection with the chapter structure. The reference strength analysis is closely combined with the reference position analysis, and the focus is to develop new calculation methods. In the context of citation, the emphasis of citation analysis is emotional analysis. The application mainly focuses on the construction of interdisciplinary measurement and scientific evaluation system. This paper also predicts the challenges and future directions of citation analysis. The specific factors to be considered include data volume and data quality, method accuracy and efficiency, cross language reference analysis, and the improvement of visualization and interactivity. In spite of many challenges, the full text citation analysis still has great development potential. In the future, it is possible to make progress in citation semantic analysis, expansion of application field, big data analysis, data privacy protection and real-time analysis. This paper reviews the current situation, application and challenges of citation analysis, hoping to provide reference and insights for future research. At the same time, this study still has some shortcomings, based on the development of computer technology, it has some limitations in its discussion on the future development trend.
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    Causes and Influence Paths of Digital Stress among Social Media Users
    JIANG Zhihui, LI Xuan, CAO Gaohui
    Journal of Library and Information Science in Agriculture    2023, 35 (11): 64-76.   DOI: 10.13998/j.cnki.issn1002-1248.23-0780
    Abstract115)      PDF(pc) (1204KB)(205)       Save
    [Purpose/Significance] With the development of the Internet and the popularization of smart devices, the scale of social media users around the world is increasing, and social media has become the center of people's communication, but it also produces a series of negative problems. Digital stress refers to the painful subjective experience of users caused by different stressors in the process of heavy use of social media. At present, most studies on social media focus on users' social media behaviors. In recent years, digital stress has gradually attracted the attention of researchers. However, most studies discuss the impact of single variables on results from the perspective of linear regression, and few studies focus on the complex mechanism behind digital stress. This study aims to explore the influencing factors and mechanism of social media users' digital stress in order to further understand the path of digital stress and provide reference for relieving users' digital stress. [Method/Process] This paper adopted a mixed research method combining grounded theory and qualitative comparative analysis. First, 21 users were selected as interview objects, interview data were coded, and theoretical models were constructed. Second, a questionnaire was designed according to the theoretical model and 262 questionnaires were collected. The fuzzy set qualitative comparative analysis (fsQCA) method was used to analyze the questionnaire data and explore the formation path of social media users' digital stress. [Results/Conclusions] There were 9 influencing factors of social media users' digital stress: overuse, technology intrusion, information overload, communication load, fear of missing out, approval anxiety, social expectation, digital coping skills and self-control. They were classified into four dimensions: technology, social, environment and personal characteristics. There are six paths that trigger digital stress, among which overuse and fear of missing out are the key factors leading to high-level digital stress, technology intrusion and information overload are the important conditions for digital stress, and digital coping skills and self-control have no significant effects. At the same time, this paper has some limitations. First, the end point and result variable of this paper is the digital pressure of social media users, focusing on the factors that affect the generation of digital pressure and how the combination of factors and variables ultimately leads to the generation of results. Less attention is paid to user behavior. Although some attention is paid in the interview, antecedent variables are emphasized in the analysis. Future studies can take users' social media usage behavior into consideration to explore the whole process formation mechanism of influencing factors-digital pressure-user behavior. In addition, most of the research samples are young users of social media, and users of other age groups are less involved. In the future, the research samples should be further expanded to improve the universality of the research conclusions.
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    ChatGPT Strengthens Library Intelligence Services: Opportunities, Challenges and Development Strategies
    ZOU Yayi
    Journal of Library and Information Science in Agriculture    2024, 36 (2): 71-80.   DOI: 10.13998/j.cnki.issn1002-1248.24-0013
    Abstract113)      PDF(pc) (1115KB)(91)       Save
    [Purpose/Significance] In recent years, the rapid development of artificial intelligence (AI) technology has become an international research hotspot. Embedding ChatGPT-like AI system in libraries will lead to a new direction for the development of their intelligent services, which is a necessary choice to improve the library service level, optimize service efficiency and promote service model innovation. It is also an important measure to adapt to the development trend of the information age, which brings new opportunities and challenges to the information and digital construction of libraries. This article aims to explore the realization path of ChatGPT to help libraries provide intelligent services, provide theoretical reference and practical basis for the intelligent service by libraries, and promote the construction of library intelligent service system. [Method/Process] By reviewing the relevant literature at home and abroad, on the basis of summarizing the core technology of ChatGPT, and studying the practical application cases of some domestic libraries, this article analyzes the application scenarios and directions in which ChatGPT can support library services, explains the current limitations of this technology and the threats and challenges it poses to libraries and librarians, and thus proposes corresponding strategies. [Results/Conclusions] ChatGPT technology will further optimize the knowledge service system of libraries and improve the intelligent service capability of libraries. It brings vitality to the libraries, but also brings threats and challenges. Librarians should grasp the integration capabilities of humans and AI in time, and make full use of their unique advantages. Libraries should strengthen the capacity building of their smart services oriented to ChatGPT, innovate the mode and mechanism of their smart services, and rely on ChatGPT to build a smart service platform, provide smart service resources, build a sound service system, build a service team, and improve the level of their smart services. Continuous efforts should be made to promote the in-depth development of smart library services, so as to meet the diversified and personalized information needs of library readers. To this end, this paper makes a preliminary exploration on the opportunities, challenges and development strategies of enabling smart services in libraries through ChatGPT. Due to the limited conditions, only some practices of domestic libraries are explored, and no cases of international libraries are introduced, which has certain limitations and needs to be improved in future studies.
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    Identification of Key Core Technologies Enables the Development of New Quality Productive Forces
    WANG Shan, TAN Zongying
    Journal of Library and Information Science in Agriculture    2024, 36 (2): 26-35.   DOI: 10.13998/j.cnki.issn1002-1248.24-0191
    Abstract113)      PDF(pc) (1156KB)(146)       Save
    [Purpose/Significance] Identifying key core technologies helps to clarify the direction of future efforts, optimize the allocation of innovation resources, accelerate the breakthrough of key core technologies, and promote the development of new quality productive forces by cultivating new types of workers, updating new types of means of labor, and expanding new types of subjects of labor. [Method/Process] Given the importance of key core technology identification in empowering the development of new quality productive forces, the research clarifies the connotation and extension of the key core technologies, and investigates the qualitative and quantitative identification methods of key core technologies at home and abroad. Quantitative methods are divided into three categories: indicator evaluation, social network analysis, and text mining. A comparative analysis of the advantages and disadvantages of each method are reviewed, and the overall shortcomings and problems of existing identification methods are summarized. Based on the analysis of the practical requirements and significance of breakthroughs in key core technologies, this study delves into the inherent logic of identifying key core technologies, which enables the development of new quality productive forces. The method of identifying key core technologies can cultivate new types of workers by improving talent management mechanisms and strengthening skills training for workers, New types of means of labor are updated through promoting technological integration and innovation and engaging in industry-academia-research cooperation and expanding new types of objects of labor by developing new production fields and analyzing market demand. In view of the challenges faced in the process of empowering new quality productive forces through the identification of key core technologies, this study proposes a practical way for empowering the development of new quality productive forces through the identification of key core technologies. [Results/Conclusions] Current research on identifying key core technologies is in its early stages and still faces several challenges, including outdated identification methods, inconsistent standards, the complexity of integrating technologies across disciplines, the need for improving accuracy of identification results, the lack of mining and using of multi-source data, and uncertainties in forecasting market demand. These obstacles hinder the process of using key core technology identification to cultivate new types of workers, update new types of means of labor, and expand new types of objects of labor, thus hindering the accelerated development of new quaity productive forces. Therefore, we need to focus on removing the obstacles that hinder the acceleration of new quality productive forces through the identification of key core technologies. A dynamic identification indicator system can be established to support the training of new types of workers, industry-academia-research cooperation can be strengthened to facilitate the updating of new production materials, and industrial development funds can be established to support the expansion of new types of objects of labor.
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    Future Learning Centers: Educational Paradigms, Basic Characteristics and Space Construction
    WAN Qiao
    Journal of Library and Information Science in Agriculture    2023, 35 (9): 57-65.   DOI: 10.13998/j.cnki.issn1002-1248.23-0621
    Abstract95)      PDF(pc) (909KB)(112)       Save
    [Purpose/Significance] With the rapid development and widespread application of the Internet, artificial intelligence, information technology, and other technologies, China's education informatization is currently in a critical period of integration and innovation combining digital technology and education. The deep integration of intelligent technology and education has brought diversified changes to education. The Education 4.0 concept, which emphasizes personalized education and innovative teaching with students as the main focus, has emerged. The Higher Education Department of the Ministry of Education of China proposed in its 2023 key work points, it is required to explore and promote the pilot of the "Future Learning Center", leverage the advantages of university libraries, integrate various learning resources in the school, utilize new generation information technology, and create a new grassroot learning organization that supports the transformation of learning methods. According to the development trend of the new paradigm of education in the new era, university libraries should construct diversified ecological spaces and learning scenarios through literature resource integration, spatial process reengineering, intelligent technology application, and learning support services. [Method/Process] By conducting targeted literature analysis, conducting research on university libraries, and paying attention to industry seminars, the current research status and construction progress of future learning centers in China are summarized. The changes in learning space, teacher roles, course content, learning methods, and evaluation systems of future learning centers under the development trend of Education 4.0 are analyzed, Summarize the basic characteristics that future learning centers should present after achieving seamless integration between knowledge, resources, users, and scenarios. Based on the service functions of university libraries in learning, academia, culture, innovation, etc., focus on exploring the construction and service paths of spaces such as self-learning support space, education and teaching support space, digital academic support space, and creative creation support space, the goal is to create a diversified learning ecosystem that integrates reading, teaching, experience, participation, exploration, collaboration, and creation. [Results/Conclusions] The future learning center will become an important opportunity for university libraries to transform from a resource center to a learning center. However, the construction of future learning centers is not standardized or exemplary. Each school must "put people first", investigate and analyze the user needs, behavioral habits, subject characteristics, and school situation of its teachers and students, balance user needs and library situation, and highlight key points and characteristics. At the same time, university libraries need to cooperate with colleges and departments to jointly build, coordinate the technology and strength of the entire school, integrate and share resources, collaborate and use technology, cross integrate disciplines, and exchange and recognize evaluation systems. University libraries aim to create a new campus learning ecosystem through the construction of future learning centers, providing readers with personalized learning services, intelligent learning environments, precise learning platforms, and innovative learning ecosystems, and achieving the educational goals of students' autonomous learning, intelligent learning, and lifelong learning.
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    Report on the Standardization of Reading Promotion (2023 Edition)
    XIAO Peng, DENG Moyan, SU Jie, ZHU Haiyuan
    Journal of Library and Information Science in Agriculture    2023, 35 (10): 34-47.   DOI: 10.13998/j.cnki.issn1002-1248.23-0892
    Abstract93)      PDF(pc) (1251KB)(20)       Save
    [Purpose/Significance] The construction of a reading promotion standard system is the key to achieving the standardization and professional development of reading promotion. The construction of standardized reading promotion is based on reading theory, and aims to make reading promotion a standardized service with scientific theoretical guidance, constrained by the values and ethics of libraries, and with clear service purposes and target groups. From the perspective of high-quality development, the construction process of the standardized reading promotion system also reflects the development level of the "people-centered" library of the new era, which is of great significance. [Method/Process] Aiming to conduct a systematic and comprehensive investigation of the existing reading promotion standards in China and to promote the research and practice of reading promotion standards and evaluation in China, this report comprehensively collects the relevant standards in the library field issued in China before 2024, and screens out the standards related to reading promotion. By counting the drafting units, responsible agencies and types, and analyzing the content of the standards, this report reviews the construction of the reading promotion standard system in China. [Results/Conclusions] Standardized reading promotion work in China began to take shape during the "13th Five-Year Plan" period, and is now gradually gaining momentum and entering a new stage of rapid and high-quality development. The major achievements include: first, a standardized reading promotion system has been established for the first time, with an increasing number of relevant standards and the gradual introduction of specific local standards; second, public libraries have played a leading role in the standardized construction of reading promotion, demonstrating continuous professional expertise in the field; third, local standards have shown great effectiveness, fully absorbing and transforming many innovative experiences in reading promotion work; and fourth, many important and practical issues in reading promotion are reflected and addressed in the standard texts, with an increasing emphasis on demand and effectiveness orientation. Accordingly, this report puts forward a number of recommendations for the future construction of the reading promotion standard system, including: strengthening the launch of national and industry standard construction projects for reading promotion, continuously developing specialized standards for reading promotion, strengthening the integrated application of standards related to reading promotion, and promoting the participation of various disciplines in standard construction.
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    Effectiveness Evaluation of Rural Public Cultural Services under the Guidance of "People-Oriented": Taking Ecological Conservation Area of Beijing as an Example
    FAN Beibei, LI Jin, FENG Xian
    Journal of Library and Information Science in Agriculture    2023, 35 (9): 80-90.   DOI: 10.13998/j.cnki.issn1002-1248.23-0505
    Abstract92)      PDF(pc) (1217KB)(67)       Save
    [Purpose/Significance] "People-centered" is the basic principle of the construction of rural public cultural service system in the new period and the important criterion of efficiency evaluation. During the "14th Five-Year Plan" period, with the continuous improvement of the rural public cultural service system framework and the continuous increase of the total supply, the relevant policies of rural public cultural services have begun to move toward the era of "high-quality", "high level" and "high quality" efficiency improvement. [Method/Process] Based on the policy and demand orientation, this paper constructed the evaluation index system of rural public cultural service effectiveness, and designed 17 specific indicators from 5 dimensions, such as awareness, participation, satisfaction, sense of cultural acquisition, and cultural happiness, and takes the Beijing ecological conservation area as a typical example to carry out the "people-centered" efficiency evaluation of rural public cultural service. [Results/Conclusions] At present, the average score of rural public cultural service efficiency in Beijing's ecological conservation area is 75.90 points, which is in the "medium" level, indicating that the overall efficiency level of rural public cultural service in Beijing's ecological conservation area still has a large room for improvement. The participation score is the lowest, and there is a large difference in the participation level and the sense of cultural acquisition level among groups, indicating that the efficiency level of rural public cultural services has a large room for improvement, and the construction is unbalanced. The ultimate goal of improving the efficiency of rural public cultural services guided by "people-oriented" is to build a rural public cultural service system with everyone's participation and shared by all, meet the new expectations of rural residents for a better spiritual and cultural life, and make public cultural services play a greater role in promoting the comprehensive revitalization of rural areas. In the future, it is necessary to optimize the structure and layout of public cultural service facilities, promote the transformation of public cultural service products from universal to precise, build a multi-level and multi-channel public cultural supply mechanism, and deeply explore and innovate the excellent traditional local culture, so as to improve the efficiency level of rural public cultural services.
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    Concept, Task, and Application of Social Robots in Information Behavior Research
    LIU Yang, LYU Shuyue, LI Ruojun
    Journal of Library and Information Science in Agriculture    2024, 36 (3): 4-20.   DOI: 10.13998/j.cnki.issn1002-1248.24-0093
    Abstract86)      PDF(pc) (1287KB)(92)       Save
    [Purpose/Significance] The advent and emergence of social robots represent a closer development trend in human-computer interaction. However, the study of the information behavior of social robots faces many challenges that arise from the need to simulate human social behavior. This challenge includes technical hurdles such as a multi-level understanding of human emotions, extraction of multi-modal information features, situational awareness, as well as the establishment of long-term user profiling, data privacy, and ethical considerations in personalized interaction. However, existing research tends to focus narrowly on specific applications and lacks a holistic review. This paper attempts to provide a thorough review of both domestic and international studies of social robots in the area of information behavior. It aims to elucidate the theoretical evolution and technological foundations of social robots, thereby enriching our understanding of their role in the landscape of information behavior research. [Method/Process] Using a rigorous literature review methodology, we meticulously analyze the current state and prospective trajectory of research on the information behavior of social robots. First, we extract and scrutinize the theoretical foundations and salient research topics within the field. We then delineate the core tasks of social robots, which include data acquisition, language processing, emotion analysis, information retrieval, and intelligent communication. Furthermore, we synthesize research on the information behavior of social robots in various application domains such as education, healthcare, and service sectors. We delve into the intricacies of human-computer interaction in these contexts and provide comprehensive insights. Finally, we explore future directions in the field. [Results/Conclusions] Our examination of the information behavior of social robots reveals both promising potential and notable challenges. This paper provides a fundamental elucidation of the social robot concept, identifies current research foci, and addresses prevailing challenges. Regarding the construction of data resource and related technologies, we systematically delineate the task architecture of social robots, and highlight their wide-ranging applications in various domains. Furthermore, we provide an in-depth examination of human-computer interaction scenarios in critical domains such as education, healthcare, and service delivery, offering prescient guidance for future research efforts in social robotics. Nonetheless, our findings underscore the nascent stage of development of social robotics, which requires a concerted focus on advancing interaction quality assessment, enhancing social cognitive capabilities, managing user information disclosure, and refining emotional intelligence. By prioritizing these avenues, we aim to improve the quality of human-robot interaction and provide users with enriched and personalized service experiences, thereby catalyzing the continued evolution and broader integration of social robotics technology.
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    Transformation and Development of Intangible Cultural Heritage through Technology
    WANG Wei, XU Xin
    Journal of Library and Information Science in Agriculture    2024, 36 (1): 58-70.   DOI: 10.13998/j.cnki.issn1002-1248.24-0078
    Abstract85)      PDF(pc) (1760KB)(169)       Save
    [Purpose/Significance] In recent years, the national leadership has attached great importance to the inheritance and innovation of China's excellent traditional culture, and the concepts of creative transformation and innovative development are constantly evolving. The Ministry of Science and Technology of China, among six departments, jointly formulated the "Guidelines for Promoting the Deep Integration of Culture and Technology", proposing to form a "cultural and technological integration innovation system covering key areas and critical links, to achieve the goal of in-depth integration of culture and technology". Intangible cultural heritage (ICH), as an essential part of China's excellent traditional culture, plays a crucial role in consolidating the sense of the Chinese national community and enhancing cultural self-confidence. This paper discusses the research paths for the creative transformation and innovative development of ICH in the context of culture and technology integration, emphasizing the significant role of modern technology in promoting the transformation and development of ICH. [Method/Process] The paper first interprets the connotation of "creative transformation and innovative development" in ICH, and clarifies the theoretical foundation and guiding principles of "creative transformation and innovative development" in ICH. It then analyzes the significant contributions of "creative transformation and innovative development" in ICH to society, economy, and cultural diversity, as well as the categorized scenarios of technology empowerment in "creative transformation and innovative development" of ICH. It discusses six types of common key technologies that enable technology-driven "creative transformation and innovative development" in ICH, including digital technology, virtual and augmented reality, big data analysis, artificial intelligence, cloud computing, and the Internet of Things. It summarizes a three-tier framework system for technology-driven "creative transformation and innovative development" in ICH, namely the method layer, technology layer, and object layer, forming a progressive relationship from theory to technology and then to specific practices. Finally, by integrating the specific example of the traditional craft of Wuhu iron painting, it demonstrates the facilitating role of modern technology in the "creative transformation and innovative development" of ICH and its impact on the protection, inheritance, and innovative development of ICH. [Results/Conclusions] The findings suggest that technological means can effectively protect and inherit ICH, facilitating its creative transformation and innovative development. However, it also requires careful consideration and precautions against the potential risks and challenges that modern technology poses to ICH projects in terms of intellectual property rights, the digital divide, and the indirect nature of experiences. Looking to the future, with the emergence of more innovative technologies, modern technology will not only help to protect and pass on traditional culture but also give new connotations and expressions to traditional culture, ensuring that its unique value and charm continue to play out in an ever-changing world.
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    The Challenge of Artificial Intelligence Scientists to the Epistemology of Science
    DUAN Weiwen
    Journal of Library and Information Science in Agriculture    2023, 35 (11): 4-12.   DOI: 10.13998/j.cnki.issn1002-1248.23-0849
    Abstract85)      PDF(pc) (948KB)(107)       Save
    [Purpose/Significance] This study aims to explore the challenges that artificially intelligent (AI) scientists may bring to scientific epistemology. [Method/Process] Scientific discovery has long been of interest to AI researchers. The next big step in AI is the development of AI scientists. AI scientists should be able to independently motivate, make, understand, and communicate discoveries. Although the current robot scientists are still just a form of AI-driven automated experimental apparatus, and the best AI systems today cannot define their own hypothesis space and experimental design. At best, they can be considered to be a primitive form of AI scientists. Clearly, the specific path of AI-driven scientific research or the transition to AI scientists will inevitably be influenced by the frontier development of AI. Current AI systems must overcome the following major technical challenges: 1) making strategic choices in their research goals; 2) developing the ability to generate exciting and novel hypotheses in areas that push boundaries; 3) designing innovative approaches and experiments to test hypotheses that go beyond the use of prototype experiments; 4) focusing on and describing important discoveries in a way that can be understood by human scientists. The highly autonomous AI scientists can either make discoveries on their own or collaborate with other human and machine scientists to make Nobel-level discoveries. After reviewing the relevant AI applications in scientific research, this study illustrates the main characteristics of AI scientists and the two disruptive changes they bring about at the epistemological level: a leap in AI capabilities and AI for Science as the 5th paradigm of scientific research. [Results/Conclusions] The implications of AI for Science are revolutionary, but recent AI-driven explorations in scientific research increasingly support the possibility of its realization. In this situation, discussions on the epistemological issues of relevant sciences need to go beyond general philosophical debates and instead explore epistemological strategies for the coming scientific revolution in AI. In view of the coming scientific revolution in AI, this study proposes four strategies. First, we should pay more attention to the problems and solutions in the process of developing AI scientists. Second, the key to advancing the scientific revolution in AI is to find ways to eliminate factors that may lead to failure. Then, we use different strategies to achieve the scientific revolution of AI. Finally, we take advantage of metaphorical methods to help us develop AI scientists.
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    Standardized Management System for Reading Promotion under AIGC Technology Environment
    LIU Qiong, ZHOU Yunfeng, SU Wencheng, LIU Guifeng
    Journal of Library and Information Science in Agriculture    2023, 35 (10): 48-57.   DOI: 10.13998/j.cnki.issn1002-1248.23-0628
    Abstract82)      PDF(pc) (1712KB)(9)       Save
    [Purpose/Significance] This article attempts to establish a scientifically effective set of management standards, create a standardized workflow, and fully consider the role of the artificial intelligence generated content (AIGC) in the standardized management of reading promotion. It aims to build a management standard for reading promotion that is in line with the high-quality development of libraries in the new era, and to provide policy guidance for comprehensively improving the efficiency of reading promotion work. [Method/Process] There are a total of 10 national and industry standards that include relevant descriptions of reading promotion in the existing standards. In addition, regions such as Zhejiang and Anhui have formulated local reading promotion standards based on practical considerations. However, most of the existing standards predominantly approach reading promotion mainly from the perspective of reader services, and lack the perspective of managers. This article fills this gap by examining the role of the AIGC in the standardized management of reading promotion, extracting the essential elements of standardized management for reading promotion, and constructing a standardized management system that encompasses the entire process of reading promotion. [Results/Conclusions] The standardized management of reading promotion is a feasible and scalable system that includes three aspects: the strategic level, the implementation level, and the resource level. The tasks of the strategic level mainly include setting management goals, coordinating the establishment of various management documents, adjusting organizational structures, providing implementation guidance, and coordinating the sharing and use of various resources. The implementation level is the core link in achieving the management goals for reading promotion and systematically advancing the management work. This includes understanding, implementing, evaluating, and supervising the standardized management of reading promotion. The resource level, considered from an applied perspective, aims to provide comprehensive resource support for the implementation of reading promotion work and management, including organizational resources, literature resources, technological resources, digital resources, and financial resources needed for reading promotion work. The standardized management of reading promotion must incorporate the five basic elements of management subjects, objects, goals, methods, and culture, while fully considering the management changes brought about by the AIGC environment and new technologies. The future standardized management of reading promotion should emphasize strategic management, increase technological investment, emphasize skill enhancement, optimize process management, and strengthen support systems.
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    Influence of Risk Perception on Group Polarization in Network Circle Groups
    WAN Xiaodie, XIA Yixue
    Journal of Library and Information Science in Agriculture    2023, 35 (9): 66-79.   DOI: 10.13998/j.cnki.issn1002-1248.23-0801
    Abstract78)      PDF(pc) (3642KB)(124)       Save
    [Purpose/Significance] In social media, the complex phenomenon of group polarization caused by the effect of network circle groups has brought serious challenges to the guidance and governance of online public opinion. This paper aims to explore the influencing mechanism of multi-dimensional environmental risk perception on group polarization in the network circle groups, and provide theoretical support and insights into the management of group polarization. [Method/Process] First, based on the protective motivation theory and the circle group structure theory, risk perception was divided into three dimensions: risk fact perception, risk loss perception and risk reaction behavior perception, and a network circle group was divided into three layers: point, line and structure. Based on this, a theoretical model of the relationship between risk perception and group polarization under the background of network circle groups was constructed. Second, taking the "6.10" hitting event as an example, a questionnaire was designed to collect sample data, and two sets of comparative data were obtained from the perspectives of randomly selected women and circled female groups, and the reliability and validity of the data were tested and analyzed. Finally, Amos26.0 software was used to establish a structural equation model (SEM) for empirical analysis of the research hypothesis in this paper, and the Bootstrap method was used to test the mediating effect of network circle groups, revealing the effect of risk perception on group polarization in network circle groups. [Results/Conclusions] 1) Compared with the random female group, the degree of homogeneity in the network group is higher, and the circle group effect is significant. 2) Risk perception has a significant positive impact on the formation of group polarization, in which the perceived risk response behavior has the most significant impact on group polarization. 3) Network circle groups have a significant positive influence on the formation of group polarization, among which "structure" has the most significant influence on group polarization. 4) Network circle groups play a mediating role between multi-dimensional risk perception and group polarization. The research not only reveals the generation path of network circle groups and risk perception on group polarization and the key factors affecting the occurrence of group polarization from the theoretical level, but also provides directions for relevant departments to manage group polarization and reduce public risk perception. This study has several limitations. For instance, SEM model setting and questionnaire design depend on the subjective experience and theoretical assumptions of researchers, and may have selectivity bias, so the model setting in this paper is subjective to a certain extent.
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    User Willingness to Use Generative Artificial Intelligence Based on AIDUA Framework
    WANG Weizheng, QIAO Hong, LI Xiaojun, WANG Jingjing
    Journal of Library and Information Science in Agriculture    2024, 36 (2): 36-50.   DOI: 10.13998/j.cnki.issn1002-1248.24-0076
    Abstract76)      PDF(pc) (2032KB)(39)       Save
    [Purpose/Significance] Generative artificial intelligence (AI) technology has been widely used in many fields, and the application of this technology has become popular among researchers. However, there are few studies on the willingness of researchers willingness to accept generative AI. This leads to an insufficient understanding of the psychological mechanism, cognitive process and behavioral pattern of users' acceptance of generative AI, which limits the ability of theoretical innovation and practical exploration in user information behavior. This study focuses on researchers acceptance of generative AI. By studying the evaluation process of ChatGPT by college students, it explores the acceptance behavior of generative AI. At the same time, it verifies the applicability of the AIDUA model in the new context, and introduces the new variable of school identity, which further extends the AIDUA model. [Method/Process] Based on the cognitive assessment theory and the AI acceptance framework (AIDUA), this paper constructs a theoretical model of the intention to use generative artificial intelligence, and develops and empirically tests the theoretical model of the intention to use generative AI. Taking college students as the main research object, based on the maturity scale in authoritative literature at home and abroad, 8 variables and 29 observation variables such as social influence, hedonic motivation and anthropomorphism were designed. College students with experience in using generative AI were invited to participate in the questionnaire survey. SPSS26.0 was used to analyze the data from 294 valid questionnaires collected. SmartPLS 3.2.9 was used to construct a structural equation model to test the hypothesis, and the JN method was used to detect the regulatory effect. [Results/Conclusions] The study found that users went through three stages of decision making before using generative AI. The PLS-SEM results show that: 1) Social influence, hedonic motivation and anthropomorphism significantly affect performance expectancy and effort expectancy, and anthropomorphism is the strongest variable affecting performance expectancy and effort expectancy. 2) Performance expectancy and effort expectancy are significantly negatively correlated with negative emotions, while hedonic motivation has no significant effect on negative emotions. 3) Negative emotions are significantly negatively correlated with users' intension to use. 4) School identity moderates the relationship between effort expectancy and negative emotions. This study combines anthropomorphic research on college students' acceptance of generative AI, and provides a framework for the acceptance of generative AI. Researchers can use this framework to better study the acceptance of AI. This study has some limitations. In the future, we will focus on the following three aspects: 1) to evaluate the users' acceptance of generative AI in different usage scenarios. 2) to use samples of other groups to test the applicability of the model, such as civil servants, librarians, researchers and other groups. 3) to incorporate variables from other technology acceptance models into the model, such as ease of use and practicality.
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    A Study on the Knowledge-Based Description Framework and Application Scenarios of Ancient Chinese Map Documents in the Digital Intelligence Era
    ZHANG Xingwang, DUAN Xuechun, XIN Jie
    Journal of Library and Information Science in Agriculture    2023, 35 (9): 4-11.   DOI: 10.13998/j.cnki.issn1002-1248.23-0804
    Abstract74)      PDF(pc) (2791KB)(106)       Save
    [Purpose/Significance] Ancient map literature is an important component of Chinese ancient literature, which is the subjective cognition, expression, exploration, and recording of the objective environment by ancient ancestors. It mainly uses map language such as symbols, text, graphics, and lines to depict simple geographical spatial information locally on physical carriers such as clay tablets, stone tablets, woodcuts, silk, and paper. It records and carries the glorious process of civilization continuation and cultural inheritance in China for thousands of years. How to better do a good job in its digital protection and development and utilization is an important issue worth paying attention to in the current field of information resource management. [Method/Process] On the basis of a brief exposition of the cultural connotations and important values of ancient map literature, this article briefly summarizes the current status of its digital research, and then designs and proposes a knowledge-based description framework for ancient map literature in China in the digital age. This framework clarifies the key modules of resource entities, description objects, knowledge abstraction, map expression, map display, etc. of ancient map literature, and analyzes the relevant key modules separately, Finally, taking the "Wanli Coastal Defense Map" drawn in Volume 8 of Zheng Kaiyang's Miscellaneous Works as an example, typical application scenarios such as automatic question and answer services for ancient map literature knowledge, intelligent construction services for the South China Sea rights protection evidence chain, and interactive narrative services for ancient map literature were explored. [Results/Conclusions] Chinese ancient maps and texts showcase the expression and cognition of ancient Chinese ancestors towards the real physical world and geographical space through methods such as landscape painting, six body drawing, planning, and triangulation. They not only carry the excellent genes of China's thousands of years of Chinese civilization and excellent traditional culture, but also serve as important carriers for telling Chinese stories, spreading Chinese spirit, and showcasing China's image; The intervention of mathematical theory and technology has expanded the object space of ancient maps from traditional binary space to a diverse space composed of geographic space, cultural space, information space, and technological space; The knowledge-based description of ancient map literature in the era of digital intelligence requires a comprehensive understanding of all entities, elements, and knowledge related to it, achieving cross domain knowledge organization and integration centered on its geographic spatial information (such as place names, divisions, and locations), involving the identification, extraction, analysis, organization, association, positioning, and transformation of relevant contextual information. This makes the universality of this theoretical framework still need to be strengthened, In the future, it is necessary to continuously expand the existing theoretical and technical framework to meet the knowledge-based description needs of different types of ancient map literature.
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    The Method of Developing Agricultural Price Index
    ZHAO Anping, ZHANG Lin, WANG Cuncun, WANG Zengfei, ZHAO Haosen, WANG Xiaodong
    Journal of Library and Information Science in Agriculture    2023, 35 (9): 91-99.   DOI: 10.13998/j.cnki.issn1002-1248.23-0334
    Abstract73)      PDF(pc) (1480KB)(57)       Save
    [Purpose/Significance] China is a major agricultural country, and the stability of agricultural product prices directly determines the development of China's economy. Developing an agricultural product price index is of great significance for establishing a sound agricultural product price index system, providing participants with a clear understanding of the development status of the agricultural product market, and improving levels for market monitoring and early warning. [Method/Process] Based on the current research results on agricultural product prices and price indices, this study explores the principles of constructing agricultural product price indices, the framework of agricultural product price index system, index classification and grading, calculation models, and weight determination methods, in order to develop a set of agricultural product price index construction methods that are in line with the operational characteristics of agricultural products in the current wholesale market. Based on statistical data and industry research data, an empirical study was conducted on the construction of agricultural product price indices. The five major categories of agricultural product price indices, sub-categories of agricultural product price indices, large variety of agricultural product price indices, and single variety of agricultural product price indices are weighted based on the market volume of each variety of agricultural product during the reporting period of the wholesale market, using the Pap index as the principle, and given weights based on the market volume during the reporting period. The weight of the overall agricultural product price index has been optimized and adjusted, and the model has been constructed using the basis principle of the Laplace index. The weight of major categories of agricultural products such as meat, poultry, eggs, aquatic products, grain and oil, fresh fruits and vegetables is based on per capita agricultural product expenditure data from the Beijing Municipal Bureau of Statistics, while the weight of major categories of agricultural products is based on research data from the Beijing agricultural industry, avoiding the problem of imbalanced weight. [Results/Conclusions] The empirical results indicate that the framework and classification of the agricultural product price index system are reasonable, and the index calculation model and weight determination method are scientific and feasible. This not only enriches and improves the theory and method of constructing the agricultural product price index system, but also provides useful reference for the construction of other circulation chain price indexes of agricultural products, to develop the Beijing agricultural product wholesale price series index. It also plays a positive role in market monitoring and early warning of the operation of the Beijing agricultural product market, enhancing the influence of agricultural product brands, and implementing agricultural insurance.
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    Research Advances in Resource Management Technology of Smart Recommendation Enabled by Big Data in China
    SUN Yusheng, FAN Ying, ZHU Bo
    Journal of Library and Information Science in Agriculture    2023, 35 (12): 4-17.   DOI: 10.13998/j.cnki.issn1002-1248.24-0044
    Abstract72)      PDF(pc) (1141KB)(57)       Save
    [Purpose/Significance] Data empowerment for collaborative transformation of the entire industrial chain has become a national strategy. In the context of multi-source and heterogeneous big data, we face higher demands on the diversity and real-time of recommendation services, as well as the standardization and comprehensiveness of user and item information management, in order to turn data into resources, support the diversification of smart recommendation services, and enhance the user interaction experience. To this end, we should systematically sort out and analyze the research results of user interest modeling and item information management technologies in China's big data empowerment, elaborate the technical system for standardized management of user and item information in intelligent recommendation. [Method/Process] The article summarizes the content of 507 documents using literature review methods, and summarizes and analyzes the domestic big data empowerment resource management technology for smart recommendation from two aspects: user interest modeling and item information management. User interest modeling technology includes model representation, model initialization and model evolution, the item information management technology shows the goals, implementation methods, implementation techniques, and methods of item information management, including data collection, data mining, data storage, data updating, and data interpretation. [Results/Conclusions] First, the user interest modeling technology of big data empowerment mainly studies the following issues. 1) The method of model representation is to accurately formalize the user's needs. 2) The model is initialized to collect user information in an implicit or explicit way and select tools and technologies according to data types to pre-process user data according to a fixed process, and select measurement methods to quantify user interest. 3) Model evolution aims to apply methods and technologies to evolve user interest models offline and online. Second, the item information management technology of big data empowerment mainly studies the following issues. 1) The online technology and offline equipment are used to synchronously collect item data across the whole domain, integrate domain knowledge, and use algorithm libraries and data analysis methods to mine item data. 2) The distributed storage is used such as databases and file systems to store item data. 3) Data collection, mining, and storage technologies are the main techniques, item data are updated through offline and online methods, and visualization technology is used to intuitively interpret ietm data. Finally, existing research needs to strengthen the design and practical research of user-driven and data-driven smart recommendation solutions, as well as strengthen research on data security.
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    An Analysis on the Key Path of Enhancing the Value of Academic Libraries from the Perspective of Students
    LIU Jingyi
    Journal of Library and Information Science in Agriculture    2023, 35 (11): 53-63.   DOI: 10.13998/j.cnki.issn1002-1248.23-0599
    Abstract72)      PDF(pc) (1329KB)(57)       Save
    [Purpose/Significance] There is no shortage of discussions in the library industry on how the value of academic libraries can be reflected by affecting students' learning outcome. There are also excellent cases such as the "Value of Academic Libraries' Initiative", which have a great impact on the theoretical and practical research in the field, and have initially formed a research system. Due to the differences in the higher education systems of different countries and the focus of higher education talent cultivation goals in different eras, it is necessary to consider the actual situation and based on the construction background of "double first-class" university construction to explore the paths and countermeasures that are in line with the development strategy of higher education in the new era of Chinese academic libraries. Scientific measurement and evaluation of academic library services from the student-oriented perspective is an important way to clarify the key path of library value enhancement, which is helpful for libraries to optimize their services, improve their development framework and enhance their own value. [Process/Method] In view of the above background and related research deficiencies, this research focuses on how academic libraries can improve their own value in the new era to better serve the strategic development of universities, and become the core of value for various stakeholders to discuss. Meanwhile, the methods used in related research lack the in-depth analysis of the process of library influence. In order to systematically sort out the internal logic of library impact on students' learning outcome, it is essential to explore the role of process factors in it, and it is not enough to use only regression analysis to conduct data statistics. This study analyzed 985 questionnaires by using the structural equation model analysis method, built a student-oriented value impact model of academic libraries with "situation-effect-outcome" as the main line, and explored the key influencing factors. [Results/Conclusions] It is suggested that the academic libraries should enhance their value influence in the following four aspects: to strengthen the policy guidance to improve the service utilization rate of academic libraries, attach importance to the contribution and value of academic libraries in the construction of "double first-class" university service, study and build a service system that meets the needs of users, and strengthen the service support for "double first-class" university construction. In this study, the research area is set in the University of Chinese Academy of Sciences and the interviewees are set at the postgraduate education stage. Although it is representative to a certain extent, the sample scope is still limited. The applicability of the conclusions obtained from the empirical research needs to be further verified to improve the reliability of the conclusions. In the future, it is necessary to investigate the influence of more types of university libraries on students' academic performance and the influence of university libraries on students' academic performance at different stages of education. To verify whether school factors and the training level of students have an impact on the correlation between university libraries and students' academic performance, and whether the causal relationship between the cognition and evaluation of students promoted by university libraries and students' academic performance is applicable to all universities and students.
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    Influencing Factors of Scientific Data Value Increment Based on System Dynamics
    SUN Lili, WANG WeiJie, SHENG Jiefei
    Journal of Library and Information Science in Agriculture    2023, 35 (9): 28-42.   DOI: 10.13998/j.cnki.issn1002-1248.23-0699
    Abstract70)      PDF(pc) (1373KB)(61)       Save
    [Purpose/Significance] To explore the influencing factors of the added value of scientific data and reveal the inherent development laws of the added value of scientific data. [Method/Process] First, based on the interview data of 18 experts and the research results related to the value appreciation of scientific data in existing literature, the grounded theory method was adopted. Through open coding, main-axis coding, and selective coding, 19 categories, 6 main categories, and 3 core categories were finally obtained. From this, a theoretical model of the factors influencing the value appreciation of scientific data was obtained. On this basis, the Vensim PLE tool was used to establish a dynamic model of the value appreciation system of scientific data, and the process of value appreciation of scientific data was dynamically simulated and analyzed to reveal the relationship between various influencing factors and the value appreciation of scientific data. [Results/Conclusions] In the process of increasing the value of scientific data, the quality factor of raw data is a prerequisite, and high-quality raw scientific data are conducive to the integration and secondary development of subsequent scientific data. The data literacy of data producers represented by researchers has the most significant impact on the quality of scientific data. The level of data storage and payment has a significant impact on the added value of scientific data. When the perceived effort and perceived risk of data storage and payment by researchers decrease, accompanied by the pressure of scientific data sharing policies, researchers become more likely to increase their willingness to save and pay, thereby significantly improving the scale effect of data storage and payment. The organization and integration of scientific data is the key to the formation of value-added scientific data. Overall, the metadata quality has the most significant impact on the level of scientific data organization and integration. The quality of metadata is the foundation of scientific data processing, classification, and integration. The higher the quality of metadata, the more it helps to improve the level of scientific data organization and integration. The sharing and development of scientific data is the key to realizing the value-added of scientific data. It is the final step in realizing the value-added of scientific data. In this process, the scale of scientific data openness, the quality of scientific data sharing platforms, and development capabilities all have a positive promoting effect on the level of scientific data sharing and development.
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    Construction Model of Digital Rural Areas in China from the Perspective of Structural Dynamics Based on Multiple Cases
    FENG Xian, LI Jin, CUI Kai, FAN Beibei
    Journal of Library and Information Science in Agriculture    2023, 35 (12): 33-48.   DOI: 10.13998/j.cnki.issn1002-1248.23-0842
    Abstract66)      PDF(pc) (1699KB)(71)       Save
    [Purpose/Significance] Accelerating the construction of digital rural areas is a strategic direction for comprehensively promoting rural revitalization, which plays an important role in promoting the modern basic living conditions in rural areas, improving the quality and efficiency of farmers' production and living, and achieving the development of urban-rural integration. In recent years, the construction of digital rural areas has been actively promoted in various regions, and a number of typical models are being explored and practised which has brought more digital dividends to rural residents. However, the regular characteristics of various practices have not been summarized in related research, resulting in poor promotion of best experience models and a lack of directional indicators for digital rural construction in different regions. This paper has summarized the regular characteristics and application mechanisms of diversified digital rural construction practices in China. The relevant conclusions would provide theoretical reference for promoting the construction of digital rural areas in different regions through classification. [Method/Process] Based on the perspective of structural elements and dynamic effects, this paper investigated four typical county-level digital rural construction models as research objects, namely Deqing County, Pukou District, Cao County, and Dianjiang County, in the national or provincial-level digital rural pilot county. Then, it used a multi-case analysis method to explore the regulatory characteristics of different types of digital rural construction models. [Results/Conclusions] The construction of digital rural areas in China mainly involves the integration of urban and rural areas, the integration of industry and city, the integration of point, line, and area, and the promotion of construction throughout the county. Influenced by factors such as the main functions of the construction, the requirements of the construction content, and the resource endowment, location, and transportation of the construction area, the internal and external thrust mechanisms of different construction models also exhibit different characteristics. In promoting the construction of digital rural areas in the future, different regions should fully consider the strength of the main functions of the construction, choose different construction mechanisms and content, so that digital rural areas can benefit more farmers, and help promote the comprehensive revitalization of rural areas. However, there are some shortcomings in this paper, such as the lack of in-depth analysis on the role and functional positioning of farmers, different levels of government, and market subject as participants. More wisdom is needed to embed the operation and maintenance mechanism for the later stage of digital rural area construction in future research.
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    Analysis of Information Dissemination of Emergencies Based on Weibo User Characteristics
    LI Sijia, ZHENG Deming, SUN Zhengyi
    Journal of Library and Information Science in Agriculture    2023, 35 (11): 86-97.   DOI: 10.13998/j.cnki.issn1002-1248.23-0812
    Abstract65)      PDF(pc) (2834KB)(58)       Save
    [Purpose/Significance] With the popularity and development of social media, Weibo has become an important information transmission platform. Understanding the law of emergency information transmission based on the characteristics of Weibo users is of great significance for grasping the development trend of events, evaluating the influence of information, and formulating effective response strategies. [Methods/Process] Selecting typical cases of four types of emergencies (natural disasters, accidents, public health events, and social security events) as the research objects, this paper crawled the user data of the information transmission on the Weibo platform and analyzed the distributions of user gender, user geographical distribution, user attention and fan number and user type of the information transmission for these events, in order to reveal the differences and similarities of the user characteristics and transmission laws for the four types of emergencies. [Results/Conclusions] As for the similarities of the user characteristics and transmission laws, first, the audiences of the four types of emergencies have obvious regional characteristics, and the users in economically developed provinces generally have a higher attention rate. Second, the transmission users of all types of emergencies are generally concentrated on active users and grassroot users with strong and weak propagation power respectively, accompanied by a small number of authoritative users with strong influence. However, there are differences in the broadness and gender distribution of the audiences for different types of emergencies. First, natural disasters have a wider spread of the audiences and relatively higher attentiveness; accidents and public health events tend to be local events with relatively low attentiveness, whose audiences may be more concentrated in and around the affected areas; the audience spread of social security events is scattered depending on the nature of the event, the scope of influence as well as the communication channels. Second, female users pay more attention to natural disasters, public health events and social security events, while male users pay more attention to accidents, which can be attributed to the different emotional orientations and psychological characteristics associated with users of different genders. These results provide insights for the formulation of targeted guidance strategies for information dissemination. In future studies, we will collect data on other social media platforms, obtain more information on user characteristics through different channels, and introduce more in-depth analysis methods and indicators to comprehensively reveal the dynamic mechanisms of emergency information dissemination, thus improving the accuracy and effectiveness of the research.
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    Value, Current Situation, Difficulties, and Countermeasures of Reading Leader Service in Public Libraries under the High Quality Development of National Reading
    FAN Xinmei
    Journal of Library and Information Science in Agriculture    2023, 35 (12): 60-70.   DOI: 10.13998/j.cnki.issn1002-1248.23-0472
    Abstract62)      PDF(pc) (1164KB)(45)       Save
    [Purpose/Significance] The report of the 20th National Congress of the Communist Party of China proposed the task of "deepening the activities of reading for all", pointing out that reading for all has entered a stage of high-quality development. As an important force to promote reading for all, library readers play an important role in promoting reading, improving cultural quality, and cultivating reading fashion. Improving the delivery ability and quality of reading services will be conducive to promoting the high-quality development of reading for all, helping the high-quality development of reading for all to deepen and consolidate the cultural foundation of Chinese path to modernization. This article aims to study the direction and strategies for improving reading services from different perspectives and dimensions and provide theoretical support and practical reference for the high-quality development of reading promotion. [Method/Process] This article elaborates on the core of high-quality development of reading for all, and analyzes the significance and value of improving library reader services. At the same time, a survey was conducted through online surveys, literature searches, and other methods to investigate the status of reading leader services provided by 32 libraries and cultural institutions nationwide. Based on the survey results, research was conducted on the current status of the reading leader services, with a focus on the obstacles in the development of the services, as well as issues such as a lack of coordination and sufficiency. The problems and difficulties in the services were pointed out. [Results/Conclusions] Current reading leaders lack the introduction of evaluation mechanisms and their own accumulation is insufficient. The reading service method is outdated and the content is homogeneous. The service neglects the essence of segmented reading and deviates from the heterogeneous needs of the audience. There is a lack of community reading linkage and inability to form resource synergy. Based on these findings, several solutions are proposed: establishing a system for reading leaders, improving reading standards and strategies, building a resource library for reading leader projects, creating a "think tank" for reading services, carrying out community reading linkage, building a synergy of reader resources, emphasizing graded reading services, accurately matching the internal needs of readers, establishing high-quality content IPs, building a brand power for reading services, accurately tracing reading portraits, and optimizing content side presentation and utilizing opinion leaders to expand communication influence. Undoubtedly, there are still issues with incomplete case studies in this article, and more in-depth research and analysis will be conducted in the future.
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    Journal of Library and Information Science in Agriculture    2023, 35 (9): 100-101.  
    Abstract62)      PDF(pc) (787KB)(669)       Save
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    Exploring the Causes of Low Health Information Literacy Among Rural Middle-Aged and Elderly Adults and its Improvement Strategies
    WANG Yueying
    Journal of Library and Information Science in Agriculture    2024, 36 (2): 81-93.   DOI: 10.13998/j.cnki.issn1002-1248.23-0723
    Abstract62)      PDF(pc) (1194KB)(43)       Save
    [Purpose/Significance] Health is the foundation of survival, and the health of all people is the foundation of a country. However, the aging situation in China's rural areas is serious, and the health information literacy (HIL) of the middle-aged and elderly population is low. Improving the HIL of middle-aged and elderly people in rural areas is of great significance to personal health and the "Healthy China" strategy. In terms of research perspective and content, previous studies either used quantitative methods to measure the health level of rural middle-aged and elderly people, or used qualitative methods to analyze a certain aspect of HIL, but the reasons for the low level of HIL among rural elderly people are not explored from a qualitative perspective. Based on this, the author analyzes the reasons for the low level of HIL of the rural middle-aged and elderly from the perspective of qualitative research and proposes corresponding countermeasures. [Method/Process] Semi-structured interview method and ground theory were used to explore the reasons for low HIL among rural middle-aged and elderly people from five aspects: health information awareness, health information access, health information evaluation, health information utilization and health information service. A theoretical model of the causes of low HIL among rural middle-aged and elderly people was constructed. [Results/Conclusions] It is found that the reasons for the low HIL of the rural middle-aged and elderly people include personal cognitive limitations, objective condition limitations, and service delivery problems. Specifically, the reasons are rejection of digitalization, cognitive misunderstanding, physical condition limitation, digital equipment limitation, low quality of related services, and the lack of related services. Accordingly, from the level of personal cognition, it is proposed that multiple measures should be taken to promote health-related publicity and education to improve the awareness of HIL. For example, offline and online HIL education should be improved and the characteristics of rural social acquaintance should be used to improve publicity and HIL education. From the perspective of objective conditions, it is suggested that the material basis of life should be improved to raise the level of HIL. From the perspective of health information services, health care institutions, village committees, libraries and family members should be involved in the health information service system for the rural middle-aged and elderly people, and the quality of health information services should be improved. The interaction between the various causes can be further explored in the future.
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    Journal of Library and Information Science in Agriculture    2024, 36 (2): 104-105.  
    Abstract62)      PDF(pc) (402KB)(30)       Save
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    Dilemma and Way Out: The "Teacher Role" Construction of Professional Librarians in University Libraries
    YANG Shiling, LIANG Xiaowen
    Journal of Library and Information Science in Agriculture    2024, 36 (2): 94-103.   DOI: 10.13998/j.cnki.issn1002-1248.24-0018
    Abstract60)      PDF(pc) (1163KB)(47)       Save
    [Purpose/Significance] The vigorous development of information literacy (IL) education has led to the increasingly prominent role of academic librarians as teachers in universities. However, most of the librarians who assume the teaching function lack the special training of pedagogy and teaching competence, so they have negative attitudes such as resistance and refusal to accept the role of teachers. These problems will inevitably affect the favorable and sustainable development of library IL education. Therefore, building the teacher role of librarians is of great significance to the development of IL education. [Method/Process] A content analysis method of the research literatures was used to review the historical development and recent debates about the teacher role of librarians were retrospected. We found that librarians currently play multiple teacher roles, including curriculum designers, teaching partners, teachers, academic research participants, and advocates for IL education. However, librarians face many realistic dilemmas in the process of teacher role development. Based on the in-depth analysis of the realistic dilemmas faced by librarians, this paper puts forward the ways of development for the teacher role of librarians from various aspects and perspectives. [Results/Conclusions] The research suggests that the development of the teacher role of librarians faces many realistic difficulties, such as the influence of professional image, the disconnect between library science education and practice, and the lack of teaching competence of librarians themselves. The ways of development: 1) Librarians: As the implementers of the educational mission, librarians in the new era should establish professional self-confidence and play a good role as a member of the educational and academic circles. In addition, they should actively examine their own lack of professional knowledge and pedagogical knowledge, and actively make up for their lack of knowledge through the training of teaching knowledge for librarians, the MOOCs of universities, and the further study and upgrading of academic degrees. It is also necessary to improve teaching skills through course observation, lecture practice, peer discussion, teaching reflection and other forms. In short, promoting librarians' teaching self-confidence and teaching competence is the key to developing the role of teachers; 2) Library science education: Attention should be paid to the establishment of courses related to IL teaching, such as adapting traditional library science courses to meet the teaching responsibility requirements of university librarians in China, and gradually adding courses related to teaching design, method, theory, assessment, introduction to teaching problems, presentation skills, cooperation and communication skills to improve the teaching ability of pre-service librarians. Embedding more demonstration/simulation teaching in LIS/MLIS teaching courses to help pre-service librarians gradually acquire teaching-related skills and experience, so as to prepare librarians for teaching roles; 3) Library departments: Efforts should be made to establish teacher-librarian positions, reallocate the responsibilities of librarians, and provide policy facilities to enable librarians to grow into library education experts; 4) Library industry associations: The dual professional qualification system of "teachers" and "librarians" should be implemented by library industry associations.
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    The Integrated Development Model and Approach of University Libraries from a Multivariate Collaboration Perspective
    WAN Qiao
    Journal of Library and Information Science in Agriculture    2024, 36 (1): 97-104.   DOI: 10.13998/j.cnki.issn1002-1248.23-0810
    Abstract59)      PDF(pc) (1021KB)(50)       Save
    [Purpose/Significance] In the current era, integrated and coordinated development is the main trend of social development. University libraries need to explore how the Internet has changed the way people think and promote regional coordinated development to actively explore the integrated development model in a wider range, optimize the efficient allocation of resources in the internal and external integrated development, promote the coordinated development of industries, stimulate innovation capacity, promote the emergence of new models and new formats, and realize the superposition effect of resources and service aggregation and multiplication effects, improve social competitiveness, and promote their sustainable development. [Method/Process] The high-quality development of university libraries requires not only the integration and promotion of certain subject content, but also a comprehensive integration plan and development strategy that takes into account both internal and external factors. University libraries take "cultivating virtue and nurturing people" as the foundation, and improve their resource allocation, management platforms, and service levels through the internal integration construction of development concepts, digital technology, and composite resources. Based on the service of talent cultivation, teaching reform, and discipline construction in universities, university libraries are simultaneously integrating external services with publishers, bookstores, and their cities, seeking a mutually beneficial cooperative development model through the vertical integration of the cultural industry upstream, midstream, and downstream. In the development of multi-collaborative integration, they need to explore the construction of a diversified development system, establish a multi-domain cooperation mechanism, enhance service capabilities, innovate development ideas, and gradually achieve sustainable development goals from consolidating joint forces to stimulating vitality. [Results/Conclusions] Diversified and integrated development is an inevitable trend in the development of the times. In recent years, in the construction and service upgrading of smart libraries, university libraries have achieved certain results in the integration and development of digital academic platform services, new learning ecology construction, virtual real interaction space construction, intelligent service management, and other aspects. However, university libraries have low participation in the integration of extended services with publishers, bookstores, and their cities, and lack a systematic approach in terms of scientific planning and their high-level design has not yet yielded significant social benefits. Overall, there is still a lot of room for innovation and improvement in resource, service and platform integration in university libraries. It is necessary to keep up with the times, seize development opportunities, build an open development system, seek collaborative models of integration and mutual benefits, integrate quality and effectiveness, and achieve innovative transformation and development.
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    Intellectual Property Protection of Scientific Data in the Algorithm Era: Factors Influencing Service Quality and Optimization Strategies
    XU Yue, XI Zijie, PAN Chao
    Journal of Library and Information Science in Agriculture    2023, 35 (11): 23-39.   DOI: 10.13998/j.cnki.issn1002-1248.23-0483
    Abstract59)      PDF(pc) (2330KB)(46)       Save
    [Purpose/Significance] With the advent of the algorithmic era, libraries' information delivery channels have shifted from offline physical entities to online digital platforms. This transformation has brought about significant changes in the way users access and utilize scientific data. The frequency of use of scientific data has increased exponentially, as more and more users rely on data to support their research, education, and innovation activities. The huge demand and application of use of data poses challenges to the development of libraries, among which the service guarantee of intellectual property rights (IPR) for scientific data is becoming a key factor affecting the development of digital libraries. IPR is a legal concept that protects the ownership and control of data creators and providers over their data. It also regulates the rights and obligations of data users and re-users. Therefore, this study aims to explore the influencing factors and optimization strategies of libraries' IPR service quality for scientific data. [Method/Process] To achieve this goal, this study used a questionnaire analysis method to collect data from a sample of 252 individuals belonging to a highly knowledgeable group, such as researchers, academics, and students. These individuals are the main users and producers of scientific data, and their perceptions and expectations of the quality of IPR services by libraries are crucial for improving the service. The questionnaire consists of four parts: demographic information, IPR awareness, IPR satisfaction, and IPR improvement suggestions. The reliability of the questionnaire factors is between 0.724 and 0.913, indicating a high level of internal consistency. The validity of the questionnaire is verified by confirmatory factor analysis, which shows a good fit between the data and the model. Based on the data, this study conducts a path analysis to test the hypotheses and obtain the results. [Results/Conclusions] The results show that the following factors have a significant positive impact on the quality of libraries' IPR services for scientific data: the implementation efficiency of policies and regulations (beta=0.326, p<0.001), talent team building (beta=0.274, p<0.001), the data management technology (beta=0.211, p<0.001), the diversification of service models (beta=0.358, p<0.001), and the number of data IPR sharing agreements (beta=0.329, p<0.001). These factors reflect the importance of improving the legal, human, technical, and organizational aspects of libraries' scientific data IPR services. Based on the findings, this study proposes five optimization strategies for libraries in scientific data IPR service: strengthening the implementation of policies and regulations, improving the training and motivation of talent teams, upgrading the data management technology, innovating the service model, and increasing the number of data IPR sharing agreements. These strategies can help libraries to improve the quality of their scientific data IPR services and meet the needs of the users in the algorithmic era.
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    Analysis of Farmers' Information Acquisition Behavior for Digital Inclusion: Group Focus and Practical Concerns
    CUI Kai
    Journal of Library and Information Science in Agriculture    2024, 36 (1): 33-45.   DOI: 10.13998/j.cnki.issn1002-1248.24-0042
    Abstract57)      PDF(pc) (1651KB)(43)       Save
    [Purpose/Significance] In the era of mobile Internet, mobile phones are the most important information access tools. From the perspective of mobile phone use, this paper examines and reveals the information acquisition behavior of farmers, explores the information gap in rural areas, analyzes the characteristics of the information acquisition behavior of key groups, and provide insights into how to improve the information acquisition behavior and narrowing the information gap. The significance of the research is that, with a focus on digital inclusion, we start from the inclusive feature of the Internet and modern information technology, find out the key groups to pay attention to in the information gap, and put forward ideas on how to realize digital inclusion from the perspective of farmers' information acquisition and needs. [Method/Process] Based on the rural sample survey at the national level, principal component analysis and RIF regression analysis were used to measure farmers' information acquisition behavior and identify the role of key influencing factors in improving information acquisition behavior. This study analyzes farmers' information acquisition behavior from the perspective of mobile phone use, describes the micro characteristics of the information gap in rural areas, and makes the conclusion more scientific and generalizable based on the sample survey of farmers at the national level. [Results/Conclusions] The low "long tail" group in the evaluation results of farmers' information acquisition behavior exists in the aged people groups and the groups with the education level below junior middle school, which highlights the phenomenon of information gap in rural areas. Key explanatory variables have a more pronounced marginal effect on groups with low evaluation results of information acquisition behavior (below the median). Improving the impact of mobile phone use among key groups such as the elderly and the undereducated makes an important contribution to narrowing the information gap, which reflects the inevitable requirement of the concept of digital inclusion. Based on the improvement of network facilities, it is also necessary to pay attention to the use of mobile phone functions and information content acquisition of key groups, strengthen the accuracy of information supply, activate the information needs of key groups, and improve the adaptability of such groups in the digital environment. There are still more relatively poor and aging groups in rural areas, which need to be included in the digital inclusion path, improve the situation of vulnerable groups in the digital age, and provide the means to realize people's needs. Future research will pay more attention to promoting the provision of high-quality public service resources through digital tools, realizing the continuous empowerment of digital technology for rural development, and improving the digital literacy of citizens, especially rural residents.
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    Construction Model of AI-Ready for Scientific and Technological Intelligence Data Resources
    QIAN Li, LIU Zhibo, HU Maodi, CHANG Zhijun
    Journal of Library and Information Science in Agriculture    2024, 36 (3): 32-45.   DOI: 10.13998/j.cnki.issn1002-1248.24-0173
    Abstract57)      PDF(pc) (1338KB)(69)       Save
    [Purpose/Significance] The new quality productivity advancing AI technology, especially exemplified by large language models (LLMs), is rapidly updating and attracting wide attention. In order to accelerate the implementation of AI technologies, it is urgent for advanced AI technologies to acquire support from knowledge resources in scientific and technological (S & T) information and libraries. Meanwhile, S & T information provides significant potential service scenarios for the application of AI technologies such as LLMs. This study aims to explore and design the method and path for constructing AI-ready data resources in the field of S & T information, and proposes a comprehensive and operable construction model that adapts to the new technical environment of AI, thereby facilitating comprehensive readiness in the field of intelligence. [Method/Process] This study first focuses on the concept and development status of AI-ready construction, and examines the development of AI-ready construction at home and abroad from three aspects: governments, enterprises and research institutions. The survey shows that the application of artificial intelligence has been highly valued by various fields of scientific research and production. However, the groundwork and preparation for AI applications are still relatively lagging behind, and AI tools cannot be fully implemented in key application scenarios due to the lack of high-quality and refined data resources. Based on the research results, the study made a preliminary definition of AI-ready construction, that is, we defined AI-ready construction as: the various development and improvement actions to adapt the object to the AI technical environment and promote the long-term benefits. The research then focuses on the field of S & T information, and systematically discusses and designs the AI-ready construction mode in the field of S & T information from six aspects: connotation category, construction angle, construction object, construction principle, control dimension and types of construction mode. [Results/Conclusions] The construction of AI-ready S & T information resources is a comprehensive and multi-angle transformation and upgrading process, which is located between the knowledge resource end and the intelligence application end. It is carried out in four aspects, including standards, methods, tools and platforms. The main content of the construction includes channels of AI technology, data transformation, data resources, and data management. At the same time, the construction is comprehensively controlled by six principles and four control dimensions. Besides, this study proposes the way of the practical construction of AI-ready S & T data resources, including the construction of intelligent data systems, and the construction of integrated platforms for the whole life cycle of S&T information data. The path reflects the process of the variation of knowledge resources from diversification to organization and then to integration, which not only serves the scientific information field itself, but also provides more intelligent, convenient, rich and powerful S&T information support for various fields. In the future, it is hoped that further research can delve into more micro and practical aspects, review the specific characteristics of different AI technologies, and provide more detailed suggestions for specific application scenarios at the operational level, providing a solid guarantee for scientific research institutions to achieve the leading strategic position in research and development.
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    Constructing Reading Promotion Standards and Evaluation System as New Methods, New Tools, New Perspectives in Reading Promotion: Overview of the Second Symposium on Standards and Evaluation in Reading Promotion
    ZHAO Gongqun
    Journal of Library and Information Science in Agriculture    2023, 35 (10): 99-106.   DOI: 10.13998/j.cnki.issn1002-1248.23-0861
    Abstract55)      PDF(pc) (962KB)(27)       Save
    [Purpose/Significance] The National Reading Campaign has become a national strategy. With the deepening of reading promotion, many new methods, new tools and new perspectives have appeared in the research and practice of reading promotion. In order to effectively improve the standardization and professional level of reading promotion, we should systematically sort out, summarize and explore the significance, best practice, future goals and implementation ways of standardization construction and scientific evaluation of reading promotion. [Method/Process] In order to continuously promote the work of nationwide reading with high quality, we have conducted research combining the contents of the second Symposium on Standards and Evaluation in Reading Promotion and Evaluation. Based on the current needs and status of nationwide reading, we have summarized the issues in reading promotion work, including standardization and normalization of reading promotion, as well as the systematization of nationwide reading standards and evaluation. Based on the study of best practice in some libraries, we have put forward strategies and recommendations for the establishment of a reading promotion standard and evaluation system. The Reading Promotion Committee of the Library Society of China has organized two special meetings, the main themes of which are "Towards a High Standard and High Quality Era of Reading Promotion" and "Discovering New Methods, New Tools and New Perspectives of Reading Promotion". Through theoretical exploration, case study, individual interviews and other methods, this paper reviews the theoretical basis, professional construction and example discussion of the construction of reading promotion standards and evaluation system, and achieves a certain consensus on the professionalism, scientific and systematic oragnization and operability of reading promotion standards and evaluation indicators. [Results/Conclusions] The future work of reading promotion is condensed into three main aspects: improving the standardization of reading promotion with new methods, improving the standardization of reading promotion with new tools, and promoting the systematization of reading standards and evaluation in the whole country from a new perspective.
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    Improving Digital Literacy of University Librarians Using Educational Technology
    YI Tong, LUO Guofeng
    Journal of Library and Information Science in Agriculture    2024, 36 (2): 61-70.   DOI: 10.13998/j.cnki.issn1002-1248.24-0052
    Abstract54)      PDF(pc) (1669KB)(67)       Save
    [Purpose/Significance] In order to better realize the goal of digital transformation of education and digital transformation of university libraries, university libraries should strengthen the team building of high-level and high-quality librarians, so as to improve librarians' digital literacy levels and serve the independent training mode of high-level talented professionals in universities. Most of the existing digital literacy research studies farmers, college students, and teachers, whereas few studies focus on the digital literacy of librarians in teaching assistant positions. With the gradual deepening of the digital transformation of libraries and the application of educational technology, the improvement of librarians' digital literacy is particularly important. Therefore, this study aims to establish the correlation between educational technology and librarians, and explore the ways to improve librarians' digital literacy from the perspective of educational technology application, in order to fill in the gaps of current research. [Method/Process] Based on the literature analysis and research background at home and abroad, this paper comprehensively explored the connotation of digital literacy, and the connotation and characteristics of educational technology; through the combination of "online + field", this paper reviewed the practical application of educational technology at home and abroad in university libraries from two aspects of similarity and difference, and discussed the necessity and correlation of librarians to improve their digital literacy. From the three aspects of media literacy, data literacy and ethical literacy, the pathway for librarians to improve their digital literacy was constructed. [Results/Conclusions] This paper extracts three important qualities needed in the application of educational technology, and constructs the way to improve the quality of librarians, so as to improve the effective utilization rate of educational technology and find out the position of educational technology in the library service. Due to the realistic factors such as time and research object, this study still remains in the theoretical aspect, and we need further verify our method's feasibility and practicality. In the future, we will further study the influencing factors of how to improve the digital literacy of librarians, and then improve our method of improving the digital literacy of librarians from the aspects of digital literacy education object, education content, education method, education mode and education evaluation, so as to realize the feasibility of our method.
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    Network Analysis of Emergency Information Dissemination Considering the Strength Relationship Between Nodes
    LI Sijia, ZHENG Deming, LIU Bo
    Journal of Library and Information Science in Agriculture    2024, 36 (1): 83-96.   DOI: 10.13998/j.cnki.issn1002-1248.23-0808
    Abstract53)      PDF(pc) (6614KB)(56)       Save
    [Purpose/Significance] With the rapid development of new media technology, social media platform has become the main carrier of information dissemination. Social network analysis (SNA) is used to study the information dissemination structure and mode of emergencies in microblog, which provides theoretical support for the government to effectively deal with emergencies and crises. [Methods/Process] Taking "Tangshan barbecue restaurant beating incident" as an example, Weibo data were collected to build an information dissemination network with strength relationship between nodes. Social network analysis has been used to analyze the user attributes, node attributes, network attributes and dissemination attributes of the information dissemination network, in order to explore the role of the strength relationship between nodes in emergency information transmission. [Results/Conclusions] 1) The factors of user gender, activity, and region affect their dissemination power. In particular, female users, users with high activity or influence and those in developed provinces have a stronger power of information transmission. 2) The core nodes that plays the role of "bridge" in the dissemination chain is particularly critical. Nodes with strong relationships generally occupy central positions in the information dissemination network and may mainly consist of opinion leaders and mainstream media with greater influence. The pathways of weak and authority relationships are mainly concentrated around a few core nodes, while the pathways of strong relationships are dispersed. 3) Emergency information transmission network has high efficiency and sparse characteristics. 4) The whole process of information transmission is still dominated by weak relationships. Authority relations play an important role in all stages of information transmission, while the role of strong relationships is mainly concentrated in the initial stage. The results of this paper help to deepen the understanding of the patterns and rules of emergency information dissemination, and provide some insights for more effective management and guidance of emergency information dissemination in a particular field such as agriculture. However, our research still has shortcomings, such as insufficient crawling of user attributes and insufficient research methods. In the future study, we will obtain more abundant characteristics of users involved in the dissemination such as age, occupation and education level through interviews or questionnaires, and introduce new methods such as machine learning and graph neural network to predict and analyze the transmission path and node relationship of emergency information, so as to cover these shortcomings, improve the comprehensiveness and effectiveness of the study and deeply explore the information dissemination rules of emergencies.
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