Journal article icon

Journal article

Policies in parallel? A comparative study of journalistic AI policies in 52 global news organisations

Abstract:
A growing number of news organisations have set up guidelines to govern how they use artificial intelligence (AI). This article analyses a set of 52 guidelines, mainly from Western Europe and North America, from publishers in Belgium, Brazil, Canada, Finland, Germany, India, the Netherlands, Norway, Sweden, Switzerland, the United Kingdom, and the United States. Looking at both formal and thematic characteristics, we provide insights into how publishers address expectations and concerns around AI in the news. Drawing from neo-institutional theory and institutional isomorphism, we argue that the policies show signs of homogeneity, likely explained by isomorphic dynamics arising as a response to the uncertainty created by the rise of generative AI after the release of ChatGPT in November 2022. Our study shows that publishers have already begun to converge in their guidelines on key points such as transparency and human supervision when dealing with AI-generated content. However, we argue that national and organisational idiosyncrasies continue to matter in shaping publishers’ practices. We conclude by pointing out blind spots around technological dependency, sustainable AI, and inequalities in AI guidelines and providing directions for further research.
Publication status:
Published
Peer review status:
Peer reviewed

Actions

Access Document

Files:
Publisher copy:
10.1080/21670811.2024.2431519

Authors

More by this author
Role:
Author
ORCID:
0009-0008-0205-9686
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Politics & Int Relations
Oxford college:
Balliol College
Role:
Author
ORCID:
0000-0002-0371-4653
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
ORCID:
0000-0002-0511-7756


Publisher:
Taylor & Francis
Journal:
Digital Journalism More from this journal
Volume:
13
Issue:
9
Pages:
1578-1598
Publication date:
2025-01-08
Acceptance date:
2024-10-28
DOI:
EISSN:
2167-082X
ISSN:
2167-0811


Language:
English
Keywords:
Pubs id:
2077120
Local pid:
pubs:2077120
Deposit date:
2025-01-10
ARK identifier:

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP