Algorithms for journalism : The future of news work

Show simple item record Linden, Tommy Carl-Gustav 2018-02-15T13:33:00Z 2018-02-15T13:33:00Z 2017
dc.identifier.citation Linden , T C-G 2017 , ' Algorithms for journalism : The future of news work ' , The Journal of Media Innovations , vol. 4 , no. 1 , pp. 60-76 .
dc.identifier.other PURE: 90932405
dc.identifier.other PURE UUID: d38c3b34-3163-4801-a5ed-0f8ced81a09d
dc.identifier.other ORCID: /0000-0001-7301-4401/work/39204834
dc.description.abstract Software-generated news, sometimes called “robot journalism,” has recently given rise to concerns that the automation of news will make journalists redundant. These arguments follow a deterministic line of thinking. Algorithms choose information for users but are also the construct of social process and practice. The aim of this essay is to explore “the algorithmic turn” (Napoli, 2014a) in news production. Based on case studies from three separate news outlets it is found that the impact of automated news is, first, increased efficiency and job satisfaction with automation of monotonous and error-prone routine tasks; second, automation of journalism routine tasks resulting in losses of journalist jobs; and third, new forms of work that require computational thinking en
dc.format.extent 17
dc.language.iso eng
dc.relation.ispartof The Journal of Media Innovations
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 518 Media and communications
dc.subject news automation
dc.subject journalism
dc.subject Algorithms
dc.title Algorithms for journalism : The future of news work en
dc.type Article
dc.contributor.organization Swedish School of Social Science Subunit
dc.contributor.organization Journalism and Communication
dc.description.reviewstatus Peer reviewed
dc.relation.issn 1894-5562
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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