Caswell, D and Anderson, CW orcid.org/0000-0002-3893-8411 (2019) Computational Journalism. In: Vos, T and Hanusch, F, (eds.) The International Encyclopedia of Journalism Studies. Wiley ISBN 9781118841679
Abstract
Computational Journalism is defined as a practice in which journalistic knowledge is represented computationally, as systems of discrete categories or as numbers, during reporting, analysis, distribution or consumption. This is in contrast to traditional journalism, in which journalistic knowledge is reported, analyzed, distributed, and consumed as natural language text or speech, whether in analog or digital media. Journalistic knowledge is defined as externally-represented knowledge that is under human editorial control in the service of journalistic values. In this entry, we review the development of computational journalism as a practice and as a field of study before examining the inherent tensions which structure it as a field.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Editors: |
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Keywords: | algorithmic journalism; automated journalism; computational journalism; data journalism; quantitative journalism; structured journalism |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Media & Communication (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Jun 2018 14:06 |
Last Modified: | 22 Aug 2019 13:07 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/9781118841570.iejs0046 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:132458 |