Journal article
AI in the newsroom: lessons from the adoption of The Globe and Mail’s Sophi
- Abstract:
- This case study examines the relationship between artificial intelligence (AI) and journalistic values through an analysis of Sophi, an algorithmic recommendation engine developed by The Globe and Mail in Canada. As AI becomes more prevalent in newsrooms, there are debates ranging from concerns about journalist displacement to hopes for improved quality and economic sustainability. The study explores how Sophi’s development, adoption, and reception showcase the interaction between technological capabilities and journalistic values. By analyzing Sophi’s implementation across various international news publishers, we investigate the conditions that foster the adoption of AI systems in journalism and the implications for future AI design and deployment within newsrooms. Our findings suggest that successful AI integration in journalism requires careful attention to organizational context, scope of automation and institutional origins. The story of Sophi highlights the need for a more granular investigation into how different news outlets balance economic imperatives with journalistic values when adopting AI technologies.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 251.6KB, Terms of use)
-
- Publisher copy:
- 10.1080/17512786.2025.2471781
Authors
+ Social Sciences and Humanities Research Council
More from this funder
- Funder identifier:
- https://ror.org/04j5jqy92
- Grant:
- F18-05042
- Publisher:
- Taylor & Francis
- Journal:
- Journalism Practice More from this journal
- Volume:
- 19
- Issue:
- 10
- Pages:
- 2323-2340
- Publication date:
- 2025-03-05
- Acceptance date:
- 2025-02-13
- DOI:
- EISSN:
-
1751-2794
- ISSN:
-
1751-2786
- Language:
-
English
- Keywords:
- Pubs id:
-
2090860
- Local pid:
-
pubs:2090860
- Deposit date:
-
2025-02-20
- ARK identifier:
Terms of use
- Copyright holder:
- Informa UK Limited, trading as Taylor & Francis Group
- Copyright date:
- 2025
- Rights statement:
- © 2025 Informa UK Limited, trading as Taylor & Francis Group
- Notes:
- The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
- Licence:
- CC Attribution (CC BY)
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