Journal article
Escape me if you can: how AI reshapes news organisations’ dependency on platform companies
- Abstract:
- Platform companies play a crucial role in the creation, dissemination, and business of news. They are also central actors in artificial intelligence (AI) which has led some to argue that the increasing use of AI in journalism may heighten the news industry’s dependence on platform companies. This article evaluates this argument. Drawing on 121 interviews with news workers at 33 leading publishers in the US, UK, and Germany, as well as 31 expert interviews, and secondary material it finds that AI reshapes the dependency of publishers on platform companies by exacerbating existing dependencies in distribution and creating new dependencies in production. News organisations rely on platforms for AI for various reasons, such as high development costs, lack of resources, and varying visions over their mission. The findings show that while increasing dependence on platforms is acknowledged, there is disagreement over its extent and impact. The reliance on platforms’ AI shows isomorphic tendencies and potentially limits publishers’ autonomy.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 1.7MB, Terms of use)
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- Publisher copy:
- 10.1080/21670811.2023.2287464
Authors
- Publisher:
- Taylor & Francis
- Journal:
- Digital Journalism More from this journal
- Volume:
- 12
- Issue:
- 2
- Pages:
- 149-170
- Publication date:
- 2023-11-29
- Acceptance date:
- 2023-11-16
- DOI:
- EISSN:
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2167-082X
- ISSN:
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2167-0811
- Language:
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English
- Keywords:
- Pubs id:
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1573592
- Local pid:
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pubs:1573592
- Deposit date:
-
2023-11-29
- ARK identifier:
Terms of use
- Copyright holder:
- Simon
- Copyright date:
- 2023
- Rights statement:
- © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
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