Data Journalism in Sweden

作者
Ester Appelgren,Gunnar Nygren
出处
期刊:Digital journalism [Taylor & Francis]
卷期号:2 (3): 394-405 被引量:199
标识
DOI:10.1080/21670811.2014.884344
摘要

Data journalism is an evolving form of investigative journalism. In previous research and handbooks published on this topic, this form of journalism has been called computer-assisted reporting and data-driven journalism, as well as precision, computational or database journalism. In Sweden, data journalism is still fairly uncommon. The purpose of this paper is to provide an overview of the development of data journalism at seven Swedish traditional media companies, using action research methods. The content of this paper is based on an online survey of journalists and in-depth interviews with editors at these participating companies. The results indicate that, based on how this field is currently perceived by journalists in the interviews, there is a common definition of data journalism. Furthermore, the survey shows that the attitudes towards data journalism during the process of introducing new methods and genres of journalism into “old” organizations are correlated with the level of perceived experience in data journalism working methods. The main challenges facing the working methods of data journalism today are a shortage of time and the need for training and developing data journalism skills.

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