国内数据新闻研究的知识图景与演进

Knowledge Landscape and Evolution of Domestic Data Journalism Research

摘要: 本文基于CiteSpace软件的知识图谱可视化功能，对CNKI数据库2002~2022年间关于中国数据新闻研究的CSSCI期刊文献进行文献计量分析，结果显示：2013年前，数据新闻研究产出非常有限，此后才经历“井喷–下滑–回升”等过程；在学术合作与共建上，该领域存在较为松散且低密度的学术合作关系。研究主要内容则聚焦基础理论、实践应用、伦理风险与规范发展、人才培养与数据新闻教育等方面。研究领域延展有限，多涉及“大数据”、“可视化”等议题。但面对新的数字信息环境，“可供性”生态学视角正在被引入数据新闻的研究领域，为其提供了新型视角及创新性的研究路径。

Abstract: Based on the knowledge graph visualization function of CiteSpace software, this paper conducts a bibliometric analysis of CSSCI journal literature on data journalism research in China between 2002 and 2022 in the CNKI database, and the results show that: the output of data journalism research was very limited before 2013, and then went through the process of “blow-out-decline-rebound”; in terms of academic cooperation and co-construction, there are loose and low-density academic partnerships in this field. The main content of the research focuses on basic theory, practical application, ethical risk and normative development, talent training and data journalism education. The extension of the research field is limited, mostly involving topics such as “big data” and “visualization”. However, in the face of the new digital information environment, the ecological perspective of “availability” is being introduced into the research field of data journalism, providing a new perspective and innovative research path.