[Purpose/Significance] To explore in depth the acceptance and usage habits of AIGC tools by graduate students in the process of academic research, and to promote the positive attention and application of emerging technologies by graduate students is one of the goals of library knowledge service and information literacy education. This paper aims to reveal the influence mechanism of internal and external factors on the use of AIGC tools by graduate students at the user level, clarify the behavioral motivation of graduate students to use AIGC tools to support learning and research, help libraries to design and promote AIGC services according to the actual situation, and promote the implementation of AIGC technology in knowledge services. [Method/Process] Based on the UTAUT2 model, considering related theories such as perceived value and the characteristics of AIGC tool and graduate student group, this study constructed the influencing factor model of graduate students' AIGC tool use behavior, and provided empirical evidence through questionnaire survey and structural equation model analysis. The survey respondents are graduate students in universities or research institutes. In this study, questionnaires were distributed to graduate students through social media platforms, enterprise Wechat contacts, email, etc., and the survey period was from July to August 2024. After the data collection, statistical software such as SPSS and SmartPLS was used to analyze all the valid data obtained, including descriptive statistics, reliability and validity test and structural equation model analysis. [Results/ [Conclusions] Functional value, use value and emotional value in the tool aspect, individual innovation in individual aspect and social influence in environmental aspect have significant positive effects on graduate students' willingness to use AIGC tools, and indirectly affect their use behavior. Facilitating conditions, such as network equipment, as supporting factors, also have a significant positive impact on graduate students' usage. It is suggested that AIGC tool developers and library service designers consider the functional advantages and convenience. On the one hand, it is suggested that they pay attention to the functional value of the tool, that is, the auxiliary role to the graduate study and scientific research; on the other hand, they consider whether the tool is design-friendly, easy to operate, with low technical threshold and easy to use on an ongoing basis. From a graduate education perspective, it is important to promote the deep integration of the tool use with one's own professional learning and research in order to realize the improvement of other qualities through information literacy. Meanwhile, strengthening students' innovative thinking and comprehensive ability training, and guiding AIGC tool application ability and scientific research thinking to promote each other are conducive to new technologies to truly support learning and scientific research, and ultimately achieve the goal of developing high-level innovative talents.
[Purpose/Significance] As China's population ages, the health status and information accessibility of rural elderly groups have become the focus of public attention. This study aims to explore the factors influencing the online health information access behavior of the elderly in rural areas of western China, with the aim of improving the current situation of this group's access to information, increasing the efficiency of their access to health information, narrowing the digital divide, and providing references for promoting the "Healthy China 2030" strategy. [Method/Process] Thirteen rural villages in the Guanzhong region of Shaanxi province were selected as the research sites to collect primary data through face-to-face in-depth interview. Based on the grounded theory and three-level coding with the help of qualitative analysis software NVIVO, we constructed a model of factors influencing the access to health information among the rural elderly in western China by taking into account the three behavioral modes of health information search, health information encounter, and health information substitution search. [Results/ [Conclusions] The health information seeking behaviors of western rural elderly groups were influenced by information, personal factor, social factor and media. Among them, the cultural level, media literacy, and subjective perception of personal factors directly affect the demand for and access to health information by the elderly; medical concepts are more influenced by social factors. Social factors, such as family support, social networks, and the availability of local healthcare resources significantly influence how older adults access health information and its effectiveness. Content specificity and quality reliability of information factors are key factors that drive or hinder older adults' willingness to access online health information. The media, as an external context, plays a mediating role in older adults' active or passive access to health information, with short video platforms and social media in particular becoming important channels. In addition, the study found that the roles of health information acquisition among the rural elderly could be categorized into passive recipients, limited participants and active searchers of health information, and based on this, a three-dimensional "R-P-S" model was constructed to describe the online health information acquisition status of the rural elderly. This model represents the developmental trajectory of this group's online health information access status, and as health information literacy improves, individuals may move from one stage to another more mature stage. Finally, interventions for different roles in health information access are proposed to better meet the health information needs of the rural elderly population.
[Purpose/Significance] American university libraries have accumulated rich experience in strategic planning with their advanced concepts and practices. This article analyzes the content and development trends of strategic planning in American university libraries from two dimensions, and provides an in-depth understanding of the key elements and future directions of strategic planning in university libraries. In the relevant knowledge system, it provides a new reference perspective for Chinese university libraries. Compared with previous studies, this study provides a more systematic analysis of the content and development trends of strategic planning in American university libraries. It helps to promote in-depth research on strategic planning in the field of library science. By addressing important major practical issues, specific ideas and methods can be provided for the strategic planning of university libraries in China. [Method/Process] This article uses online surveys and content analysis methods. The online survey method can widely collect information related to the strategic planning of American university libraries, which is efficient and convenient; the content analysis method can deeply analyze the main content and development trends, which is relatively systematic and objective. This article is based on the relevant theories of library strategic planning and academic research achievements in libraries. Through online surveys, it obtains strategic planning texts and other materials published by major libraries, and analyzes the actual strategic plans of prominent university libraries in the United States as an basis for research and analysis. [Results/Conclusions] The research suggests that the key elements of strategic planning for prominent university libraries in the United States can be summarized as strengthening collaboration and sharing, promoting world-class collections and services, understanding internal and external environmental factors, improving management levels, and enhancing technical service support. The main trends of its strategic planning development are the trends of service development, collection development, organizational development, and cooperative development. Finally, considerations for the strategic planning of university libraries in China are proposed. Suggestions are put forward for Chinese university libraries to strengthen cooperation, optimize collections, and improve service levels. The limitation of this study lies in its limited scope and lack of in-depth case studies. In the future, the scope of the research can be extended to more countries, in-depth case studies can be conducted, dynamic changes in the implementation of strategic planning can be tracked, and the future direction of university libraries in combination with the development of new technologies can be explored.
[Purpose/Significance] With the advancement of open science, the signing of transformative open access agreements will have a profound and long-term impact on the acquisition of library information resources. How libraries respond to this trend, how to evaluate open access conversion agreements, whether to sign reasonable open access conversion agreements, and actively adopt them suitable for China's domestic conditions, and scientific and effective collection acquisition and transformation strategies in an open publishing environment, how to ensure reasonable investment of institutional publishing funds, and how to play a role in promoting positive academic exchanges in an open scientific environment are all important issues that deserve industry attention and exploration. [Method/Process] We first reviewed the research progress on open access transformation at home and abroad. Second, based on the data statistics and analysis of DOAJ and related research reports and institutions, the relatiave concepts were elaborated, the impact on stakeholders was examined, and the trend of practical development was understood. Through the analysis and induction of practical cases in domestic and foreign university libraries, especially through the case analysis of the library of Shanghai Jiao Tong University, we elaborated on the issues that Chinese university libraries need to pay more attention to in the process of open access transformation, and proposes related strategies. [Results/Conclusions] To cope with the open access movement, on the one hand, we need to be vigilant against the emergence of new knowledge "barriers" and "paywalls" due to profit-driven, high APC, and transformative costs, as well as the lack of regulatory norms for author payments and the existence of financial risks and loopholes such as taxation. On the other hand, all parties adhere to the original intention of promoting the dissemination of academic knowledge, forming a transparent and reasonable APC price ecological market, establishing a hierarchical, reliable, and sustainable open publishing funding support, transformation, and regulation mechanism, and creating an economic and healthy academic information exchange environment. In this process, it is necessary for university libraries to comprehensively coordinate subscription fees and publishing fees, and fully guarantee and restructure knowledge exchange and information dissemination. This paper summarizes the three issues that need to be considered in the process of open access transformation, including the impact of open access on stakeholders, the phenomena that need to be monitored, and the key to ensuring sustainability. We proposed implementation strategies based on practical cases, including research and data preparation, analysis and evaluation, focusing on specific implementation points such as controlling elements of contract terms. The OA transformation is still in the transition period, and in order to avoid the loss of funds due to double payments, some overall management and guidance systems are needed during this period. For some publishers that prioritize commercial profit, it is necessary to send strong signals and strengthen supervision of APC pricing rationality through alliances and other levels. In addtion, we must strengthen China's leadership and discourse power in open science, and carry out the construction of related supporting systems.
[Purpose/Significance] In the context of digital rural development, farmers' digital literacy is greatly influenced by both intrinsic motivations and external influences. Cultivating digital literacy is of great significance in accelerating farmers' integration into the digital process, promoting the construction of digital villages, and facilitating the revitalization of rural talent. As an innovative mechanism for farmer education, the synergistic cultivation of farmers' digital literacy is poised to emerge as a critical research focus in the revitalization of rural talent. [Method/Process] Drawing from activity theory, the static components of this synergistic cultivation - consisting of the interrelated elements of goals, core aspects, and mediating factors - offer a nuanced perspective on the intricacies involved in enhancing farmers' digital literacy. The framework includes production, communication, sharing, and collaboration subsystems that together form a dynamic structure for cultivating farmers' digital literacy. By examining both static activity elements and dynamic operational systems, we conducted an in-depth analysis of the challenges encountered within each subsystem during collaborative cultivation efforts. [Results/Conclusions] We recommend the optimization strategies such as refining the use of tools, improving the regulatory framework, maximizing the potential for collaboration, and establishing sustainable mechanisms. The farmers' digital literacy collaborative cultivation activity model constructed in this paper is based on the background of digital rural construction and high-quality farmer cultivation. With the agricultural broadcasting school (center) as the core subject, it interacts and cooperates with other communities, and through the online digital platform and offline regular practice tools, it realizes the embedding of tool use, the improvement of the rule system, the long-term cooperation of activities, and the close participation and co-construction through the interaction and coordination of the four subsystems of production, sharing, communication and cooperation. It is closer to the digital scene requirements of farmers' cultivation. Moreover, few studies have applied activity theory to the cultivation activities of farmers' digital literacy, and analyzed the interaction and coordination process among elements from a dynamic and holistic perspective. The proposed framework for synergistically cultivating farmers' digital literacy not only provides detailed insights into educational practices, but also offers theoretical foundations for improving practical pathways in this area. The limitation of this article lies in the fact that the collaborative mechanisms and existing problems among the subsystems in the collaborative cultivation model of farmers' digital literacy have not been systematically sorted out. In response to the above limitations, continuous research based on the integration of different perspectives and methods will be conducted on the hot topic of cultivating farmers' digital literacy, which is "always in progress".
[Purpose/Significance] Rich Internet data provide a multi-dimensional perspective for understanding emergencies, and multimodal emergency classification methods have emerged. However, the existing multimodal datasets of emergencies are not only scarce, but also lacking in diversity in categories, which is not enough to support related research, and greatly affects the progress of subsequent research. Compared with previous public datasets, the dataset constructed in this paper has richer categories and more improved modalities. This dataset solves the key gaps in the availability and diversity of multimodal datasets of emergencies. It not only expands the category range, but also provides more detailed classification in the natural disaster category, which is crucial for developing robust and accurate multimodal classification models. [Method/Process] An emergency event dataset (MEED) based on multimodal information was constructed, which contains data from five categories: accident disasters, public health, social security, natural disasters, and non-emergency events. The natural disaster data are divided into seven subcategories: geological disasters, biological disasters, drought disasters, marine disasters, meteorological disasters, earthquake disasters, and forest and grassland fires. [Results/Conclusions] The existing emergency classification methods were analyzed and validated on the emergency public dataset and MEED. The results showed that MEED helped improve the performance of multimodal models by more than 10% compared with the currently available emergency datasets. The results show that the improvement in model performance highlights the value of MEED in promoting emergency management and response research and applications. The dataset enables researchers and practitioners to better understand the complexity of emergencies and develop more effective prevention, mitigation, and response strategies. The improvement in model performance also shows that multimodal methods are a promising direction for analyzing emergency events because it leverages the advantages of different types of data to achieve higher accuracy and reliability in classification tasks. The creation of MEED is a major advancement in the field of emergency management, providing researchers with a valuable resource and potentially leading to the development of more sophisticated tools for responding to emergencies. However, the dataset still has certain limitations. Over time, the number of emergencies on the Internet continues to grow, which requires us to continuously update the dataset to adapt to new situations. The size of the dataset largely determines the performance of the classification model. The class imbalance problem of the emergency dataset constructed in this paper needs to be solved. In future research, we will continue to update and maintain the dataset in a timely manner to address these issues.
[Purpose/Significance] A thorough understanding of algorithm aversion among social media users, encompassing its manifestations and underlying causes, is crucial in the algorithmic era. This understanding serves as the cornerstone for accurately capturing users' information needs and preferences, which are constantly evolving due to technological advances and changes in societal behaviors. By studying how users perceive, interact with, and respond to algorithmic recommendations and personalizations, researchers can gain insight into the effectiveness and limitations of current algorithmic technologies. These insights are invaluable for improving and optimizing algorithms to ensure that they not only meet user expectations, but also enhance their overall experience and satisfaction. Moreover, understanding algorithm aversion can help design more ethical and transparent algorithms, foster trust between users and technology, and ultimately promote the sustainable development of the digital economy. In addition, this research has broader implications for the fields of human-computer interaction, artificial intelligence, and social media studies. By exploring the psychological, social, and cultural factors that influence users' attitudes and behaviors towards algorithms, researchers can contribute to the development of more user-centered and socially responsible technologies. This, in turn, can lead to more inclusive and equitable digital environments, where everyone can benefit from the advances of technology. [Method/Process] This study employed a qualitative research approach, which is well suited for exploring complex and nuanced phenomena such as algorithm aversion among social media users. Qualitative research allows for the collection of rich, detailed, and contextually embedded data, enabling a deeper understanding of the subject matter. To accomplish this, the study included in-depth interviews with 26 respondents, who were selected for their active use of social media and their diverse experiences and perspectives on algorithmic recommendations and personalizations. The interviews were conducted using a semi-structured format that allowed for flexibility in the conversation while still addressing key research questions and themes. This approach allowed the researchers to gain detailed insights into the participants' attitudes, beliefs, and experiences with algorithms, as well as their perceptions of the consequences of algorithm aversion. A rigorous coding process was used to analyze the collected data. This involved breaking down the textual data into smaller, manageable units, or codes, which were then categorized and grouped based on common themes and patterns. The coding analysis focused on three main areas: the expression of algorithm aversion, the formation mechanisms of algorithm aversion, and the consequences of algorithm aversion for social media users. Drawing on qualitative research paradigms, the analysis resulted in the construction of a theoretical model analysis framework specifically tailored to algorithm aversion among social media users. This framework provides a structured way to understand the complex interplay between users' attitudes, beliefs, and behaviors towards algorithms, and the factors that influence these attitudes and behaviors. The framework also highlights key consequences of algorithm aversion, such as reduced trust in social media platforms, decreased engagement with algorithmic recommendations, and potential negative impacts on user experience and satisfaction. [Results/Conclusions] The results reveal three distinct forms of algorithm aversion among social media users: algorithmic interruption, algorithmic complaint, and algorithmic evasion. These forms have significant implications for individuals, organizations, and society. Additionally, the study identifies personal factors, algorithmic technology factors, and social environment factors as key drivers of algorithm aversion. A comprehensive framework for analyzing the formation mechanism of algorithm aversion, based on the concept of "individual-algorithm-social environment," is extracted. Based on this framework, the study proposes research paths and coping strategies from three perspectives: theoretical research, technical research, and humanistic research. These recommendations aim to effectively address and mitigate algorithm aversion among social media users.
[Purpose/Significance] Culture and tourism integration services for children have become an important way for public libraries to cultivate the quality of children's services, providing a feasible intervention path for children to understand and enjoy the library and participate in social exchanges. They have received increasing attention and active exploration from public libraries, and have emerged as distinctive practical cases of culture and tourism integration services, promoting the vigorous development of culture and tourism integration services in public libraries. [Method/Process] Based on existing research, this paper explores and summarizes the core orientation of culture and tourism integration services for children in public libraries, which includes four aspects: meeting children's needs for knowledge and exploration, providing equal opportunities for children's participation, serving the cultivation of children's comprehensive qualities, and enhancing their social communication functions. The Paper selected the "Starting from the Library" culture and tourism integration service brand of Changfeng County Library and conducted an in-depth analysis of the case from two aspects: the dynamic development of theme activities and the characteristics of demonstration and promotion value. This case was found to have a promoting effect on children's growth, the expansion of library services, and the development of the rural cultural tourism economy. At the same time, a study was conducted on the culture and tourism integration service case of "Listening and Understanding Bengbu · Walking and Reading in Zhucheng" in the Children's Library of Bengbu City. It was found that the characteristic of this case is to build a systematic service system by combining local characteristics and expanding the culture and tourism integration service model, in order to summarize the practical value of this case. Based on the preliminary analysis of two cases, the paper further analyze the characteristic experience of the cases, and point out that paying attention to grassroots linkage, strengthening political and social cooperation, giving full play to cultural guidance, and promoting resource integration are conducive to improving the level of culture and tourism integration services for children. [Results/Conclusions] Based on the practical case analysis and compared with the core orientation of culture and tourism integration services for children, it is pointed out that the development strategies for promoting the culture and tourism integration services for children in public libraries include increasing service innovation to enhance brand effect, considering individual differences to meet personalized needs, and promoting political and social interaction to achieve multi-party cooperation. In the future, public libraries must pay attention to creating a good environment for the culture and tourism integration services for children.
[Purpose/Significance] The aging of the Chinese population is an issue that is becoming increasingly salient. The considerable migration populations from urban to rural areas has exacerbated the aging process in rural regions of China. In recent years, the Chinese government demonstrated a commitment to addressing the urban-rural disparity, with a particular focus on enhancing the living standards of the elderly people in rural areas. However, given the substantial elderly population base, there may also be disparities in the information needs of the elderly across regions with varying degrees of economic development. The objective of this study is to provide insights into the information demand and supply of elderly people in rural areas, promote elderly care information services in rural areas, and enhance the quality of life and well-being of elderly people in rural areas, thereby promoting rural revitalization. [Methods/Processes] This study conducted survey and interview, investigating the motivations for information seeking, the information sources utilized, the information needs and satisfaction, as well as difficulties encountered in the process of obtaining information. Based on Maslow's hierarchy of needs theory, we investigated the information demands of elderly people from five aspects: physiological, safety, emotional, esteem, and self-realization. This study conducted a field survey in C Village, Taiyuan City, Shanxi Province, and collected valid questionnaires from 109 elderly people. At the same time, two village committee staff members were interviewed, and online information such as government websites was also collected. [Results/Conclusions] The findings indicate that rural elderly people primarily obtain information for entertainment and adaptation to the social environment. Rural elderly mainly acquire information through the utilization of personal networks, namely family members, television broadcasts, neighbors, and friends. Nonetheless, the elevated demand and high satisfaction represent physiological information needs, while the high demand and low satisfaction category focuses on safety and emotional information needs. Elderly people are easily constrained by their physical health status and information literacy when seeking information. At the same time, the insufficient level of regional economic development and investment in public cultural facilities serve as impediments to rural elderly people's access to information. Besides, from the perspective of information supply, the roles and collaborative mechanisms of government departments, village committees, social organizations, and families as the primary providers must be reinforced. A model of information demand and supply service for rural elderly people is finally constructed from the perspective of multiple subjects. It demonstrates that government departments play an important role in ensuring and providing support for elderly care services in terms of policies, funding, and management. The village committee fulfills a coordinating, monitoring, and service role, while enterprises and social organizations serve as supplementary forces for elderly services in rural areas. Families are an important support for promoting the upward mobility of elderly information needs. and relevant countermeasures are proposed. In conclusion, this study proposes recommendations concerning the role of multiple subjects in addressing information needs characterized by high demand but low satisfaction. Suggestions have been put forward to improve economic and health levels in response to low demand and low satisfaction of information needs. Efforts should be made to strengthen the multi-agent collaborative mechanism, improve the information acquisition ability and quality of life of rural elderly people, and narrow the gap between urban and rural elderly care services.
[Purpose/Significance] The development of artificial intelligence generated content (AIGC) technology has engendered novel prospects for the establishment of creating inclusive and expansive learning environments. In light of the potential risks associated with the misuse of AIGC tools, the present study analyzes the factors influencing students' use of AIGC tools within the context of artificial intelligence literacy. It constructs a conceptual model framework and explores the relational paths among influencing variables, aiming to provide a theoretical basis for the advancement of AI literacy education in libraries and other educational institutions. [Method/Process] This study adopts a mixed-method approach that primarily integrates Structural Equation Modeling (SEM) and mediation analysis to explore the relationships between the factors that influence AIGC tool usage. A conceptual relationship model was constructed based on the Technology Acceptance Model (TAM), which is widely utilized model for assessing users' acceptance of new technologies. The study builds on this model by adding AI literacy as a key variable to examine its moderating role in shaping the students' use of AIGC tools. The data were collected via a survey disseminated to university students who have used AIGC tools. The survey incorporated a series of inquiries designed to assess constructs such as effort expectancy, performance expectancy, behavioral intention, AI literacy, and actual usage of the tools. The SEM approach was employed to assess the proposed hypotheses and to validate the relationships between the identified factors. Mediation analysis was employed to assess indirect effects between variables. [Results/Conclusions] The findings indicate that effort expectancy exerts a direct impact on the actual use of AIGC tools by students, and indirectly promotes usage behavior through performance expectancy and behavioral intention. Furthermore, AI literacy plays a crucial role in improving the conversion rate from intention to actual usage. Specifically, AI literacy significantly enhances students' acceptance of AIGC tools, especially in terms of increasing their practical ability to use these tools effectively. The research also identifies key factors that influence students' use of AIGC tools, such as performance expectancy, effort expectancy, and behavioral intention, and highlights the significant moderating effect of AI literacy on the relationships among these factors. This study provides empirical evidence for the effective integration of AIGC technology into the education sector and offers theoretical guidance for libraries and educational organizations on how to design AI literacy education programs that help students adapt to a digitally driven society. Future research may encompass a more extensive examination of the utilization of AIGC tools across different academic disciplines, with a particular emphasis on their implementation in specialized domains. Additionally, the proposed model may be refined to better accommodate a wider range of educational contexts and learning scenarios.
[Purpose/Significance] In promoting red resources, libraries face problems such as "low reading rate of resources", "low public participation" and "low level of innovation in service". To some extent, these problems stem from the neglect of embodied cognition. The essence of embodied cognition is that cognitive process is not only the activity of the brain, but is inseparable from the perception and interaction of the body. Applying the theory of embodied cognition to reading can enhance the sense of immersion and participation in reading, thus optimizing the reading effect of red resources. This study explores the application and optimization path of VR technology in reading red resources from the perspective of embodied cognition. By enhancing users' immersive experience, it promotes their deep cognition and emotional resonance of red resources in order to promote the innovative utilization and efficient dissemination of red resources. [Method/Process] Taking the grounded theory as the research method, we first carry out data collection and sample selection, then analyze the text materials through the three-level coding method of open coding, axial coding and selective coding, and finally randomly select one third of the samples from the materials to carry out the saturation test of the theoretical model, summarize the three main categories of reading guarantee mechanism, reading ecology and reading experience optimization, and construct the optimization of the VR red resource reading path model, and elaborate the model in detail. [Results/Conclusions] It is found that reading guarantee mechanism, reading ecology and reading experience optimization have a positive effect on promoting the continuous optimization in reading VR red resources. Among them, reading guarantee mechanism plays a fundamental role, providing basic support for the whole VR red resource reading system. Reading ecology plays the role of a bridge, transforming the support of reading guarantee mechanism into the actual experience of users. The optimization of reading experience plays a goal-oriented role, and its realization depends on the results of the reading ecology practice, and through the feedback mechanism to promote the progress of the whole system. The interaction of these three main categories forms a dynamic feedback loop, ensuring that the VR red resource reading system can be continuously optimized with the development of technology and changes in user needs, and promoting the continuous innovation and optimization of VR red resource reading methods. This study relies mainly on secondary data and case studies, and lacks the actual feedback from users in real-life scenarios, especially the individual differences in user experience have not been fully explored. In future research, in-depth interviews will be introduced as a complementary means to further explore the individual experience of users in reading VR red resources, especially the specific application scenarios of embodied cognition theory.
[Purpose/Significance] In the context of China's commitment to the development of the data element circulation market, the governance of the data black market has emerged as a pressing issue that demands urgent attention. The purpose of this paper is to discuss the implementation of the operating law of the market economy, the utilization of the interaction of multiple parties with interests in the data circulation market to achieve meaningful participation in the governance of data service providers, the curbing of the black market trading of data elements, and the achievement of the goal of reducing the government's management costs and helping the data trading market to break through the black market shroud. [Methods/Processes] A four-party evolutionary game model is used to simulate the dynamic interaction strategy choices and the results of evolutionary stabilization strategies of data service providers, data enterprises, data black market participants and regulators in data factor circulation configuration. The study explores the conditions necessary for transforming data service providers into active participants to validate the effectiveness of the data service providers' participation in the governance mechanism. The study also discusses the methods by which the goal of enhancing the effectiveness of the data service providers' participation in the governance mechanism may be achieved. This is accomplished through the design of multi-party interaction mechanisms, and the input-output ratio of the participation governance mechanism in curbing black market trading. [Results/Conclusions] The simulation results demonstrate that by designing mechanisms in four aspects: policy, reputation, cooperation, and punishment, the participation governance mechanism of data service providers can reduce the regulatory pressure on data black markets, enhance policy flexibility, and minimize governance costs. In particular, the effect is most significant when both data service providers and data enterprises pursue long-term cooperation and reputational benefits. Specifically, 1) policy support can stimulate the potential and motivation of data service providers in governing black markets. 2) Under the reputation and cooperation mechanism, the participation of data service providers in the governance mechanism can not only help the regulator and enterprises to reduce the regulatory pressure, but also enhance the willingness of data enterprises to take the initiative in combating black market transactions and form the synergy of multi-party collaborative governance. 3) Adequate government regulation and a suitable system of sanctions can ensure the effective participation of data service providers in the governance of the black market, and ensure that the participation of data service providers in the governance and government regulation forms a synergy. Accordingly, the design and maintenance of the mechanism for data service providers' participation in governance is proposed, covering four aspects: an incentive mechanism, multiple forms of cooperation, a penalty mechanism, and technical guarantee.
[Purpose/Significance] Research on the behavioral stimulation of online social platform interactions triggered by IP-based games on users' active learning and reading, the social demands within gaming communities and their derivative reading-sharing interactions constitute dual intrinsic motivations that promote autonomous reading behaviors. Exploring new developmental directions for reading promotion through digital game dynamics and group-based social guidance provides broader research perspectives for innovative knowledge acquisition and pedagogical learning paradigms. [Method/Process] Based on the game "Black Myth: WUKONG" as the research background, we collected relevant comments and original texts from four social media platforms. Using the LDA model for topic classification of the effectively collected data, users who demonstrated marked behavioral tendencie towards book-related engagement and reading activities attributable to the "WUKONG" game experience were manually identified from the aforementioned dataset. We explored the details of their social discourse and the behavior of user accounts through user-account backtracking, studying the factors that stimulate users' interest in reading and active reading behavior. [Results/Conclusions] Analysis of the five thematic clusters identified by the LDA modeling revealed that in the user behaviors focused on the theme of cultural exploration, 38.3% of the user behavior data showed increased exploratory engagement with original literary works and related content during "WUKONG" mediated group interactions. Whether this interactive exploration closely connects to reading habits needs further study. Further research has shown that a portion of users were influenced in their subsequent behaviors by this game and social interaction. Through text mining of user content on key topics, analysis revealed that 61.15% of user accounts had no prior engagement history, representing first-time participants in the cultural learning interactions of the "WUKONG" game. Notably, 23.7% of this cohort spontaneously expressed self-directed reading intentions during the game-social scenario. As the dominant subgroup in the dataset, their behavioral patterns suggest that gamified social platforms may serve as critical trigger mechanisms. It was found that the factors that stimulate users to read independently include competing for the right to speak in social interactions and obtaining gaming experiences. Accordingly, strategic practices for autonomous reading should accordingly be implemented through digital content guides, transmedia narrative interactions, and visual scene experiences. This research investigates the orienting mechanisms of digital games and community interactions in edutainment convergence, demonstrating both theoretical value and practical implications for user behavior analysis and reading promotion. While the study design ensured breadth of data collection, the heterogeneity of social attributes across platforms warrants further investigation. Subsequent studies should conduct platform-specific comparative experiments to strengthen the empirical foundation for behavioral intervention strategies.
[Purpose/Significance] To address the problem of semantic ambiguity and soybean breeding knowledge that needs to be revealed in depth, a structured knowledge model was established to thoroughly discuss the definition of key concepts and their interactions involved in the breeding process, standardize the definition and organization of soybean breeding knowledge, and promote the unified expression of knowledge. [Method/Process] By analyzing the characteristics of knowledge structure in the field of soybean molecular breeding, according to the seven-step method of Stanford ontology construction, the semantic model of soybean molecular breeding was established by using the ontology construction tool protege 5.6.3. A total of 48 classes were constructed in the soybean breeding concept ontology, which clarified the concepts and hierarchical associations among concepts under traits, compounds, enrichment pathways and growth classification. Seven types of causal relationships and three types of static relationships were defined. Finally, the ontology-based knowledge graph was presented based on a PubMed literature, and the knowledge unit with Dt1 gene as the central node was queried. [Results/Conclusions] This study integrated the existing knowledge base and ontology related to soybean breeding, established a knowledge model at the biomolecular level in the field of soybean breeding, and provided a certain reference for knowledge sharing and semantic integration in this field. Compared with the existing knowledge models, this study analyzed the characteristics of knowledge structure in soybean breeding, extracted the key entity types and relationship types in the process of hypothesis generation, and constructed an ontology model based on this, which could describe gene expression patterns in soybean growth and development more comprehensively. This is of great significance for discovering the key genes associated with specific traits and analyzing the molecular regulatory networks formed by traits, which will help to accurately design and optimize breeding strategies. The knowledge model constructed in this study could be applied to knowledge discovery, causal reasoning and other scenarios in soybean breeding, supporting experimental design and promoting interdisciplinary communication. The limitation of this study is that the ontology was constructed manually and no automated natural language processing method was used. In addition, in the subsequent use of soybean breeding knowledge model, it is necessary to keep up with the frontier of development in soybean breeding, expand new concept types, add new concept names and relationship names in time according to the knowledge description needs of field scientists, and regularly maintain and expand soybean breeding knowledge model.
[Purpose/Significance] With the rapid development of international academic digital publishing, ebook sales have surpassed those of print books since 2020. Many academic libraries in the USA are adopting e-preferred book collection development policies. In recent years, China's academic ebook market has been growing rapidly, as the well-known academic publishers such as Science Press and Tsinghua University Press have successively launched their own ebook platforms, and high-quality ebook integrator platforms such as Keledge and Cxstar have emerged, leading to a qualitative leap in both the quality and quantity of Chinese academic ebooks. The rapid development of the Chinese and English ebook markets has made collaborative collection development of print and ebooks feasible, which is considered to be a good solution to the tight collection budget and insufficient library space for Chinese academic libraries. The paper aims to propose a strategic direction and implementation path for collaborative collection development of print and ebooks, and provide a reference for the high-quality development of academic library collection development under the background of "Double First Class" construction. [Method/Process] The paper summarizes the main characteristics of SUSTech Library's three phases of book collection development, and introduces SUSTech Library's collaborative collection development practices of print and ebooks from four aspects: collaborative acquisition, collaborative management, collaborative services, and collaborative evaluation. A collaborative acquisition strategy should be based on four factors: collection assurance, patron needs, library space, and cost effectiveness. Collaborative management should redesign the business process from the aspects of funding plan, book selection, acquisition implementation, metadata management, and statistics. Collaborative services should be based on the needs, recommendations, and usage of user groups and individual users. Collaborative evaluation refers to a structured analysis on the print and ebook collections across five dimensions, including language, subject, publisher, book type, and year of publication. [Results/Conclusions] The paper puts forward suggestions from three aspects, such as top-level design, deep integration of business processes, and integrated management platforms. The academic libraries' management team should develop collaborative collection development policies and strategies from the top down. Deep integration of business processes should support optimization of organizational structure and job position adjustment, which replaces the traditional approach of defining job positions and responsibilities based on a single material type or business process. Integrated management platforms should support the integration of multiple metadata sources and business processes, and have strong knowledge discovery and service capabilities.
[Purpose/Significance] The "15th Five-Year Plan" defines the development direction and strategic choice for Chinese libraries in the next five years. It is based on China's national conditions and serves the characteristic development of Chinese libraries. Against the backdrop of the Chinese-style modernization, this paper explores how libraries can achieve high-quality development under the changing internal and external environment, with the aim of grasping the development direction of Chinese libraries and offering a construction path for the scientific formulation of the "15th Five-Year Plan". [Method/Process] A library strategy is an action plan based on a comprehensive and in-depth analysis of the Chinese libraries' internal and external environment. Environmental scanning is a fundamental part of strategic library planning. It implies that the libraries adapts to environmental changes by seeking and using external information. The formulation of the library strategy must start from the current situation, identfiy external environmental changes such as those in the political, economic, social, cultural and technological spheres, and track responses and developments. Using the research method of environmental scanning, this paper traces the dynamics of the social environment at the macro level, the business environment at the medium level, and the system environment at the micro level, and analyzes the practical demands of the society at the macro level, the medium industry at the medium level, and the library readers at the micro level. [Results/Conclusions] Chinese-style modernization embodies both conceptual and discursive innovation. As an ideological discourse, it has four layers of meaning: socialist modernization, independent modernization, modernization for the comprehensive rejuvenation of the Chinese nation, and modernization that creates a new form of human civilization. This article is guided by the theory of China's modernization and has set the main goal for the construction of China's modern libraries. It emphasizes the leading role of the concepts of "people-oriented" and "efficiency", and focuses on the three major development priorities of "professional and stable development", "intelligent transformation", and "building a national library service network". Finally, it proposes the four modern systems of "the cooperative governance system for libraries of all kinds", "the next-generation knowledge sharing and service system", "the cultural dissemination and social service system", and "the library security and guarantee system". The goal of the Chinese-style modern library is to build a national library service network that is both deeply professional and highly intelligent, organically integrating specialization and intelligence. First, to ensure the specialization of library services, then realize the wisdom to broaden the service boundary, and finally build a national library service network. A cultural communication and social service system should be built in accordance with the macroscopic social needs. A collaborative governance system should be established based on the needs of library development. A new generation of knowledge sharing and service system should be established according to individual needs. The establishment of the support system ensures the successful development of the "15th Five-Year Plan". We should consistently integrate the above three key priorities throughout the four modern systems.
[Purpose/Significance] Every transformation and development in scientific and technological (S&T) documentation and information services has revolved around the application of advanced information technologies. Currently, cutting-edge AI technologies such as large-scale models and agents are driving a new wave of paradigm shifts in scientific research. Information institutions should consider how the paradigm of S&T documentation and information services should evolve to lay a strategic foundation for the development of the "15th Five-Year Plan" development. [Method/Process] This study uses objective induction and theoretical reasoning methods. It starts with the three driving modes of AI empowering scientific research and combines them with the essence of information work. The study concludes and summarizes that AI empowers S&T documentation and information services in two main areas: information infrastructure (data production, information organization, and knowledge representation) and information generation (intelligence computation). Agents integrated with large-scale modelling technologies demonstrate exceptional, even scientist-level, data understanding capabilities, suggesting that they are already capable of enabling information generation. [Results/Conclusions] Building and deploying DIS agents is an inevitable choice for information institutions as they prepare for the "15th Five-Year Plan". Driven by DIS agents, S&T documentation and information services will achieve higher levels of automation and intelligence, freeing information professionals from tedious basic data processing tasks and allowing them to focus on generating high-value information and supporting decision making. In the ecosystem of S&T documentation and information services driven by DIS agents, clusters of agents form the core and work together both internally and externally: Internally, DIS agents achieve a high level of automation in four core functions: data production, information organization, knowledge representation, and intelligence computation through the integration of planning tools, basic data and infrastructure resources. Externally, through interactions between agents, information experts, and specific intelligence scenarios, a new working paradigm emerges: "human and multi-agent collaboration". In the future, when planning and designing the implementation of DIS agents, it is essential to focus on both the technical adaptability at the current R&D stage and the potential security risks in future application stages. This ensures the efficient and secure use of DIS agents in S&T documentation and information services.
[Purpose/Significance] In recent years, China has been committed to building a strong educational country. As key academic institutions within universities, university libraries play a vital role in disseminating knowledge, nurturing talent, and supporting scholary research. Their development is of great significance in promoting the high-quality development of higher education and realizing the goal of building a strong educational country. This study focuses on the "15th Five-Year Plan" of university libraries. It analyzes the development characteristics of university libraries during the "14th Five-Year Plan" period, explores the opportunities and challenges they face in the new era, and puts forward key points and suggestions for the "15th Five-Year Plan" to promote the transformation and upgrading of university libraries and better support the building of a strong education country. The innovation of this article is that it comprehensively considers various factors and national strategic requirements, and puts forward a relatively systematic and forward-looking development plan for university libraries, which provides a new perspective and practical guidance for the research and practice of university libraries in the new era. It contributes to the improvement of the theoretical research system of library science and promotes the deep integration of library services with teaching, scientific research, and cultural heritage in the digital age. [Method/Process] This study mainly adopts the methods of literature review, data analysis, and case study. By collecting and analyzing a large body of literature on library development policies, strategic plans, and related research findings from home and abroad, it examines the development context and trends of university libraries. At the same time, it analyzes the statistical data of library funds, resource construction, and service development during the "14th Five-Year Plan" period to objectively understand the current situation and problems. In addition, it also studies the development cases and practices of some excellent university libraries at home and abroad to draw on successful experiences. The theoretical basis of this study is drawn from the theory of library science, information science, and the relevant theories of education and cultural development. The empirical basis is mainly based on the actual situation and data of the university libraries in China in the past few years. [Results/Conclusions] During the "14th Five-Year Plan" period, university libraries have not only made certain achievements in smart library construction, digital transformation, and information literacy education, but they also face challenges such as reduced funding and polarized academic evaluation services. In the "15th Five-Year Plan" period, university libraries should seize the opportunities provided by national strategies such as national cultural digitization and educational strength, and focus on eight aspects, including to modernize the management system, strengthen the construction of data infrastructure, promote the construction of digital special collections, support digital intelligence teaching, explore the management and operation of future learning centers, build intelligent service systems supported by artificial intelligence, provide full-cycle support for scientific research, and enhance the reader's experience in the virtual environment. At the same time, it is necessary to pay attention to the evaluation of development results, summarize experience and lessons learned, and continuously optimize the development path. Future research can further explore the specific implementation strategies and detailed operation methods of each plan point, strengthen the cooperation and integration between libraries and other departments in the school, and conduct in-depth research on the application and impact of emerging technologies in libraries.
[Purpose/Significance] The spread of misinformation on social media has caused serious harm and attracted attention from various disciplines. This study aims to systematically examine the factors associated with the propagation of misinformation. It contributes to the existing literature by providing an integrated model of the factors influencing misinformation propagation, which is crucial for understanding and mitigating the spread of misinformation. [Method/Process] The search strategy, developed with the help of librarians, was searched in six Chinese and foreign databases. Four researchers coded the information back-to-back to ensure the accuracy of the analysis. Our literature screening criteria were rigorous to ensure that only high quality and relevant research was included. A total of 108 empirical studies related to misinformation propagation were included. The factors were summarized and sorted from multiple perspectives such as disciplinary field, theoretical foundation, research methods and different roles. [Results/Conclusions] Research on this topic has grown rapidly in recent years. Scholars from a variety of disciplines have used survey and experimental methods to study misinformation in the areas of politics and health. Pedictors of misinformation propagation are mainly studed from the perspective of users and information, including objective characteristics of information, perceptual characteristics of information, as well as individual characteristics, cognitive characteristics, and perceptual characteristics of users. The results show that individual characteristics play a critical role in shaping users' intention and behavior to propagate misinformation. Individual characteristics are the most frequently studied factors, while information and situational characteristics have received less attention. Psychological and behavioral variables, including users' cognitive, emotional, and behavioral responses play key mediating roles in this process. In addition, the types of information, individual attributes, cognitive characteristics, social interactions, personal knowledge, behavior and emotions play moderating roles. This study constructs an integrated model of the influencing factors for misinformation propagation, which can provide direction for targeted interventions and algorithm design to mitigate the spread of misinformation. The study also identified some limitations of current studies, including an excessive focus on the political and health issues, a lack of attention to how information characteristics, intervention factors, and platform characteristics play a role, and the relative simplicity of the research methods. Future studies should focus on misinformation propagation in other scenarios, explore more information characteristics suitable for algorithmic intervention, examine the differences in misinformation propagation on different platforms, and use mixed research methods to reach more credible conclusions. This study provides directions and goals for multi-agent collaborative misinformation management.
[Purpose/Significance] In the process of providing and receiving public cultural goods empowered by digital technology, digital inequality caused by the digital divide tramples on digital justice. Digitization has shaped the space of digital ecological justice, and digital justice is naturally consistent with "fairness". The value attribute of "justice" is its rightful meaning. The connotation of digital empowerment is "efficiency", which is not only the application of technology and data, but also the methodology of promoting economic and social development through digital means. Exploring the positive significance of digital empowerment is a great driving force for the innovative development of public cultural construction in the new era. [Method/Process] By analyzing the relevant literature, we started from the public attribute of public cultural goods, by sorting out basic concepts such as "digital justice", "digital empowerment", and "digital divide", and explored the logical essence of achieving "social justice" under the unity of efficiency and fairness. This article is a return to traditional justice theory and has been promoted and expanded under the value orientation of digital justice in the new era. In order to achieve a natural state where free individuals are not coerced, value analysis methods should be used to address the conflict between the human-centered justice value orientation and instrumental rationality in the context of digital empowerment, as well as the mismatch between traditional social rights protection mechanisms and digital social operating models. We use the contradiction analysis method to explore reality dilemmas and value conflicts, and provide suggestions for resolving conflicts. [Results/Conclusions] The supply and acquisition of public cultural goods should follow the requirements of digital justice in the digital field and space, and embody the value attribute of "justice", which is its rightful meaning. Suggestions for dealing with the difficulties include returning to the humanistic value theory, clarifying the relationship between ends and means, establishing a standardized new ecosystem for digital empowerment, reaching a rational consensus on addressing digital inequality, and affirming that we are guided by the dynamic and genuine cultural needs of citizens. This article provides a "should-be" approach to further optimize the supply and acquisition of digitally enabled public cultural goods and services. The focus of this article is on value attribute analysis, comparative and practical research on micro-level policies and specific cases of digital empowerment of public cultural goods supply and acquisition. It is also necessary to fully investigate the reality in China and gather information and data. In the future, we will focus on finding viable solutions to real-world problems in order to increase the positive impact of "digital empowerment".
[Purpose/Significance] Sentiment analysis technology is an important part of the natural language process and plays a key role in modern smart systems. As smart libraries continue to develop, traditional service models focused only on functionality are no longer enough to meet users' diverse and personalized needs. In the digital transformation era, smart libraries need new technologies to improve service quality, and adding sentiment awareness has become a key way to move beyond traditional approaches. This study uses ChatGPT(Chat Generative Pre-trained Transformer) to apply sentiment analysis in smart library services. This goal is to create a new service model based on emotions, helping smart libraries shift from basic information management to services that focus on emotional care and better user experiences. This approach not only helps smart libraries handle the challenges of digital transformation but also offers a fresh way to meet users' emotional needs. [Method/Process] This study reviews relevant literature from both domestic and international sources, systematically analyzing the mainstream research methods and technological trends in the field of smart libraries. It also explores the adaptability and feasibility of sentiment analysis technology in smart libraries, based on current practical scenarios. The research uses ChatGPT's sentiment analysis as the technological foundation, combined with the theory of smart library service models, leveraging the advantages of the ChatGPT to create an analysis framework that integrates theory and practice. At the same time, the study draws on successful cases and practical experiences from domestic and international smart libraries, such as intelligent recommendation systems and contextual knowledge services, extracting effective application paths for sentiment perception technology. This approach provides strong theoretical and practical support for the applicability of the research methods, ensuring the scientific, logical, and innovative nature of the study, and effectively contributing to the optimization of smart library services. [Results/Conclusions] ChatGPT's sentiment analysis capabilities have the potential to significantly enhance both the service quality and user experience in smart libraries. Personalized recommendations and context-aware services can effectively meet the diverse needs of library users. However, the application and research in this area are still in their infancy in China, and there are ongoing challenges in technology adaptation and practical implementation. Particularly, the difficulties in promoting the technology, user adaptability, and issues related to funding have hindered the implementation and widespread adoption of smart library services. To promote the further development of smart libraries, greater efforts should be made to deepen the integration of ChatGPT technology and explore its potential to meet the evolving demands for library services in the digital era. Additionally, the research proposes strategies to address these challenges, such as enhancing technology adaption and user education, exploring diversified funding support options, and continuously innovating application pathways. Through these explorations, smart libraries will better adapt to the needs of the new era and provide more personalized, context-aware services.
[Purpose/Significance] The study aims to construct an early warning model of public opinion risks based on government-citizen interaction data, guided by evidence-based decision-making theory. We seek to uncover the governance value embedded in such interaction data, providing new insights and methods for identifying and managing potential public opinion risks. Traditional methods of monitoring public opinion often rely on subjective judgment, leading to potential bias and inefficiency. In contrast, this study uses objective, data-driven techniques to improve the accuracy and reliability of risk predictions. By integrating evidence-based decision making with public opinion analysis, the study not only advances the theoretical framework but also provides practical tools for government use. This innovation is significant as it addresses the gaps in the current literature regarding the objective assessment of public opinion risks and their impact on governance, thereby contributing to the field of public administration and social governance. [Method/Process] The research methodology involves a multi-step process, starting with the identification of key indicators of public opinion risks. These indicators include appeal purpose, text length, sensitivity, emotional tendency, and degree of aggregation. The analytical hierarchy process (AHP) and the criteria importance through intercriteria correlation (CRITIC) method were employed to calculate the weight of each indicator. AHP, a subjective weighting method, uses expert judgement to construct a judgement matrix and determine indicator weights. However, to reduce subjective bias, the CRITIC method is integrated, which objectively determines weights based on the variability and conflict in the data. The model's workflow began with problem identification, which captures the issues that government officials want to address through public opinion monitoring. Data were then collected from various channels, such as the "12345" government service hotline, government Weibo accounts, and official email inboxes. The risk identification phase involves the construction of a public opinion risk identification index system to identify potential risks in the data collected. This is followed by a risk assessment, where the weight of each indicator is calculated, and the risks are classified into different levels. Finally, decision recommendations were provided based on the risks identified and their urgency. The model was validated using government-citizen interaction data from Suzhou as a case study. The results of the analysis were closely aligned with the future priorities of the Suzhou municipal government, fully demonstrating the model's effectiveness and reliability of the model for early risk warning. [Results/Conclusions] The study concludes with the validation of a feasible and practical early warning model for public opinion risks. The model was tested using interaction data from the Suzhou municipal government's official website, demonstrating its effectiveness in identifying and predicting public opinion risks. The results show that the model can accurately assess the severity of risks and provide timely warnings, helping government decision-makers to manage risks proactively.
