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Data Journalism In Sweden: Introducing new methods and genres of journalism into “old” organizations
Södertörns högskola, Institutionen för samhällsvetenskaper, Journalistik.ORCID-id: 0000-0003-1428-9477
Södertörns högskola, Institutionen för samhällsvetenskaper, Journalistik.
2014 (engelsk)Inngår i: Digital Journalism, ISSN 2167-0811, E-ISSN 2167-082X, Vol. 2, nr 3, s. 394-405Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Data journalism is an evolving form of investigative journalism. In previous research andhandbooks published on this topic, this form of journalism has been called computer-assistedreporting 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 providean overview of the development of data journalism at seven Swedish traditional mediacompanies, using action research methods. The content of this paper is based on an onlinesurvey of journalists and in-depth interviews with editors at these participating companies. Theresults 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 thatthe attitudes towards data journalism during the process of introducing new methods andgenres of journalism into “old” organizations are correlated with the level of perceived experiencein data journalism working methods. The main challenges facing the working methodsof data journalism today are a shortage of time and the need for training and developingdata journalism skills.

sted, utgiver, år, opplag, sider
Routledge, 2014. Vol. 2, nr 3, s. 394-405
Emneord [en]
action research, crowdsourcing, data analysis, data journalism, Sweden
HSV kategori
Forskningsprogram
Politik, ekonomi och samhällets organisering
Identifikatorer
URN: urn:nbn:se:sh:diva-22489DOI: 10.1080/21670811.2014.884344ISI: 000214769700012Scopus ID: 2-s2.0-84977073845OAI: oai:DiVA.org:sh-22489DiVA, id: diva2:698843
Ingår i projekt
Datajournalistik, Vinnova
Forskningsfinansiär
Vinnova, 2012-01102Tilgjengelig fra: 2014-02-25 Laget: 2014-02-25 Sist oppdatert: 2023-04-25bibliografisk kontrollert

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