本报告述评了中外数据新闻研究的脉络、议题与走向。中国的数据新闻业经历了从早期的引入、启蒙,到现阶段逐步反思的过程。从关键词共现结果来看,国内研究最常关注“大数据”“可视化”等议题,国外研究除关注“大数据”外,亦关注“计算新闻学”,并将其作为理论谱系。在研究方法上,国内研究中的思辨研究远多于实证研究,后者以内容分析法为主,国外研究则以定性与定量并重。中外研究存在共同的问题是,基于受众与传播效果的研究依然匮乏。在跨学科“对话”方面,国内发表的数据新闻研究成果及其施引文献集中在新闻传播学领域,跨学科交流较少。国外部分研究成果散布于数据科学、计算机科学等领域,存在一定的跨学科“对话”空间。中外数据新闻研究就议题、方法上的共性与差异,以及它们整体与其他学科间“对话”的不足,提醒着我国重视数据新闻研究实务指导的同时,加快构建科学理论体系的必要性与紧迫性。
<<In this article,we analyze the lineage and trends of data journalism research in China and globally. Bibliometrics analysis is used as the primary research method to answer our research questions. Data journalism in China has undergone a process of enlightenment from the early days to the present day of disenchantment and rethinking. Although “big data” and “visualization” are popular topics in data journalism,there is not much interdisciplinary citing literature. In terms of research methods,domestic research is much more discursive than empirical,with content analysis as the main method of empirical research. Foreign research is focused on both qualitative and quantitative. A common problem in both Chinese and foreign research is that there is still a lack of research based on audience and communication effects. This article points out that data journalism research should continue to explore audience and effect research and accelerate the construction of a scientific theoretical system while paying attention to applied journalism practice.
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