农业图书情报学报 ›› 2020, Vol. 32 ›› Issue (3): 37-43.doi: 10.13998/j.cnki.issn1002-1248.2019.11.20-1004

• 研究论文 • 上一篇    下一篇

人工智能与大数据背景下再论情报学与传播学的交叉协作发展路径

马晓悦1, 薛鹏珍2   

  1. 1.西安交通大学新闻与新媒体学院,西安 710049;
    2.西安电子科技大学经济与管理学院信息管理系,西安 710071
  • 收稿日期:2019-11-18 出版日期:2020-03-05 发布日期:2020-03-23
  • 作者简介:马晓悦(ORCID:0000-0003-4932-6450),特聘研究员、博士生导师,博士研究生,研究方向:信息行为分析与交互设计。薛鹏珍(ORCID:0000-0001-9157-3952),硕士研究生在读,研究方向:信息资源管理与动态本体构建。
  • 基金资助:
    教育部人文社会科学研究规划基金项目“信息协同视角下基于可视化媒介的智慧应急响应交互行为研究”(项目编号:19YJA870009);西安交通大学青年拔尖人才支持计划(2019年第一批)

The Cross-integration Development Path of Information Science and Communication Science in the Background of Artificial Intelligence and Big Data

MA Xiaoyue1, XUE Pengzhen2   

  1. 1. School of Journalism and New Media, Xi'an Jiaotong University, Xi'an 710049;
    2. School of Economics and Management, Xidian University, Xi'an 710071
  • Received:2019-11-18 Online:2020-03-05 Published:2020-03-23

摘要: [目的/意义]理清人工智能、大数据背景下情报学和传播学的交叉融合研究现状,并探索协同发展的新型研究方向。[方法/过程]通过对情报学和传播学学科交叉相关文献的系统梳理、归纳和分析,剖析二者在理论研究和实践应用层面的交叉研究主题,以及各自的研究特征和侧重点,并结合人工智能、大数据研究方法和研究热点阐述情报学与传播学交叉过程中的新型研究方向和未来发展趋势。[结果/结论]人工智能与大数据环境下,情报学和传播学的交叉研究主要以信息和社会为关键词,体现在研究对象的交叉、研究方法的交叉、应用领域的交叉等方面。而未来的交叉研究方向将通过数据科学的不断发展进一步相互渗透,同时在中观层面实现两个学科的优势互补,利用信息预测、多源数据融合和融媒体等研究热点领域达成全面协作发展。

关键词: 人工智能, 大数据, 情报学, 传播学, 交叉协作

Abstract: [Purpose/Significance] Clarify the research status of cross-integration research of information science and communication under the background of artificial intelligence and big data, and explore new research directions of collaborative development. [Method/Process] Through the systematic sorting, summarization and analysis of the cross-related literature of the disciplines of information science and communication, the paper analyzes the cross-research topics of theoretical research and practical application, as well as their respective research characteristics and focuses. Combined with artificial intelligence, big data research methods and research hotpots, the new research directions and future development trends in the intersection process of information science and communication are expounded. [Results/Conclusions] In the context of artificial intelligence and big data, the intersection of information science and communication science is mainly based on information and society, which is reflected in the intersection of research objects, the intersection of research methods, and the intersection of application fields. In the future, the cross-research direction will further penetrate each other through the continuous development of data science. At the same time, the two disciplines will complement each other at the meso level, and use the information forecasting, multi-source data fusion and fusion media to achieve comprehensive collaborative development.

Key words: artificial intelligence, big data, intelligence science, communication science, cross-collaboration

中图分类号: 

  • G354.2

引用本文

马晓悦, 薛鹏珍. 人工智能与大数据背景下再论情报学与传播学的交叉协作发展路径[J]. 农业图书情报学报, 2020, 32(3): 37-43.

MA Xiaoyue, XUE Pengzhen. The Cross-integration Development Path of Information Science and Communication Science in the Background of Artificial Intelligence and Big Data[J]. Journal of Library and Information Science in Agriculture, 2020, 32(3): 37-43.