Journal article
Uneasy bedfellows: AI in the news, platform companies and the issue of journalistic autonomy
- Abstract:
- Platform companies play an important role in the production and distribution of news. This article analyses this role and questions of control, dependence and autonomy in the light of the ‘AI goldrush’ in the news. I argue that the introduction of AI in the news risks shifting even more control to and increasing the news industry’s dependence on platform companies. While platform companies’ power over news organisations has to date mainly flown from their control over the channels of distribution, AI potentially allows them to extend this control to the means of production as the technology increasingly permeates all stages of the news-making process. As a result, news organisations risk becoming even more tethered to platform companies in the long-run, potentially limiting their autonomy and, by extension, contributing to a restructuring of the public arena as news organisations are re-shaped according to the logics of platform businesses. I conclude by mapping a research agenda that highlights potential implications and spells out areas in need of further exploration.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 2.1MB, Terms of use)
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- Publisher copy:
- 10.1080/21670811.2022.2063150
Authors
- Publisher:
- Taylor and Francis
- Journal:
- Digital Journalism More from this journal
- Volume:
- 10
- Issue:
- 10
- Pages:
- 1832-1854
- Publication date:
- 2022-05-18
- Acceptance date:
- 2022-04-01
- DOI:
- EISSN:
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2167-082X
- ISSN:
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2167-0811
- Language:
-
English
- Keywords:
- Pubs id:
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1261842
- Local pid:
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pubs:1261842
- Deposit date:
-
2022-06-09
Terms of use
- Copyright holder:
- Felix M Simon
- Copyright date:
- 2022
- Rights statement:
- © 2022 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 (http://creativecommons.org/licenses/by-nc-nd/4.0/), 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.
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