Journal article
Rationalisation of the news: how AI reshapes and retools the gatekeeping processes of news organisations in the United Kingdom, United States and Germany
- Abstract:
- This article analyses how the use of artificial intelligence shapes the way news gets produced and distributed, based on 143 interviews with news workers at 34 leading publishers in the United States, United Kingdom and Germany. Drawing on gatekeeping theory and the concept of rationalisation, it describes and explains the use and effects of the technology in the news. Artificial intelligence (AI) is used in all parts of the gatekeeping process to drive efficiency gains, optimise processes and bring about greater effectiveness, with these effects being real but task-dependent and hard to quantify. Overall, AI reshapes and retools the production and distribution of news by providing publishers with new means in the service of achieving existing ends, rationalising the work of news organisations in the process, and pushing it more strongly towards logics of efficiency, predictability and calculability. I discuss these findings with respect to their impact on the public arena and the reconfiguration of power and control within the information ecosystem.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 1.3MB, Terms of use)
-
- Publisher copy:
- 10.1177/14614448251336423
Authors
- Publisher:
- SAGE Publications
- Journal:
- New Media and Society More from this journal
- Publication date:
- 2025-05-08
- Acceptance date:
- 2025-02-13
- DOI:
- EISSN:
-
1461-7315
- ISSN:
-
1461-4448
- Language:
-
English
- Keywords:
- Pubs id:
-
2122734
- Local pid:
-
pubs:2122734
- Deposit date:
-
2025-05-11
- ARK identifier:
Terms of use
- Copyright holder:
- Felix M Simon
- Copyright date:
- 2025
- Rights statement:
- © The Author(s) 2025. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
If you are the owner of this record, you can report an update to it here: Report update to this record