New paper: A systematic review of research on data journalism

I am very happy to announce that a new paper by me and colleagues from Graz and Vienna will be published in Journalism. We have worked on this for around one and a half years. The paper is a meta analysis of the past 20 years of academic scholarship on data journalism and related data-intensive newswork.

This is the accepted manuscript. The production of the copy-editing by SAGE starts these days. I hope that there will be a final version ready soon. The paper will be published as an open access article.

And this is what the article is about:

This paper explores the existing research literature on data journalism. Over the past years this emerging journalistic practice has attracted significant attention from researchers in different fields and produced an increasing number of publications across a variety of channels. To better understand its current state, we surveyed the published academic literature between 1996 and 2015 and selected a corpus of 40 scholarly works that studied data journalism and related practices empirically. Analyzing this corpus with both quantitative and qualitative techniques allowed us to clarify the development of the literature, influential publications, and possible gaps in the research caused by the recurring use of particular theoretical frameworks and research designs. The article closes with proposals for future research in the field of data-intensive newswork.

Bibliography of Research on Data Journalism

This page provides a bibliography of research publications concerning data journalism, computer assisted reporting and other forms of journalism dealing with structured information.

This list collects scholarly work on this topic. If you are looking for outstanding projects, tools, tutorials or data platforms, this open list of websites about data journalism might be a good start. Also, the Twitter hashtag (#ddj) and the OKFN and NICAR-L mailing lists might be helpful resources.

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