国内数据新闻十年研究的学术场域——基于CiteSpace可视化科学知识图谱分析(2013~2023)
The Academic Landscape of Domestic Data Journalism Research over a Decade—An Analysis Based on CiteSpace Visualization of Scientific Knowledge Mapping (2013~2023)

本文聚焦于中国知网2013至2023年间收录的关于国内数据新闻研究的核心期刊文献，运用CiteSpace可视化文献分析工具，从发文数量、核心作者群体分布、学科交叉情况、关键词共现与聚类分析、以及时间演化趋势等多个维度，对文献数据进行了系统而深入的可视化剖析。分析结果表明：数据新闻核心期刊的发文量呈现出先增后减的波动趋势；学者分布较为广泛，但作者间的合作紧密度不高，且研究跨越了多个学科领域。当前，该领域的研究热点紧密围绕大数据、可视化呈现、叙事策略、新闻生产模式、新闻业变革、《卫报》案例、媒体融合趋势以及数据科学等议题展开。值得注意的是，数据新闻的研究已逐步从基础的概念界定与生产流程探讨，向外拓展至伦理规范构建、数据科学应用及人工智能融合等前沿领域，体现了研究领域的不断深化与拓展。
This paper focuses on the core journal literature about domestic data journalism research collected by China National Knowledge Internet (CNKI) from 2013 to 2023. By employing the CiteSpace visualization tool for literature analysis, the paper conducts a systematic and in-depth visual analysis of the literature data from multiple dimensions, including the number of publications, the distribution of core author groups, interdisciplinary situations, keyword co-occurrence and clustering analysis, as well as temporal evolution trends. The analysis results reveal that the number of publications in core journals on data journalism exhibits a fluctuating trend of first increasing and then decreasing. Scholars are widely distributed, yet the collaboration among authors is not tight, and the research spans multiple disciplines. Currently, research hotspots in this field closely revolve around topics such as big data, visualization, narrative strategies, news production models, journalism transformation, The Guardian case studies, media convergence trends, and data science. Notably, research on data journalism has gradually expanded from foundational concept definitions and production process discussions to cutting-edge areas including ethical norm construction, data science applications, and artificial intelligence integration, demonstrating the continuous deepening and broadening of the research field.