Report
Artificial intelligence in the news: how AI retools, rationalizes, and reshapes journalism and the public arena
- Abstract:
- Despite growing interest, the effects of AI on the news industry and our information environment — the public arena — remain poorly understood. Insufficient attention has also been paid to the implications of the news industry’s dependence on technology companies for AI. Drawing on 134 interviews with news workers at 35 news organizations in the United States, the United Kingdom, and Germany — including outlets such as The Guardian, Bayerischer Rundfunk, the Washington Post, The Sun, and the Financial Times — and 36 international experts from industry, academia, technology, and policy, this report examines the use of AI across editorial, commercial, and technological domains with an eye to the structural implications of AI in news organizations for the public arena. In a second step, it considers how a retooling of the news through AI stands to reinforce news organizations’ existing dependency on the technology sector and the implications of this.
- Publication status:
- Published
- Peer review status:
- Reviewed (other)
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- Files:
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(Preview, Version of record, pdf, 1.6MB, Terms of use)
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- Publication website:
- https://www.cjr.org/tow_center_reports/artificial-intelligence-in-the-news.php
Authors
+ Tow Center for Digital Journalism, Columbia University
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- Grant:
- Knight News Innovation Fellowship
- Publisher:
- Tow Center for Digital Journalism, Columbia University
- Place of publication:
- New York
- Publication date:
- 2024-02-06
- DOI:
- Language:
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English
- Keywords:
- Pubs id:
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1614771
- Local pid:
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pubs:1614771
- Deposit date:
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2024-02-06
- ARK identifier:
Terms of use
- Copyright date:
- 2024
- Rights statement:
- This report is distributed under the terms of the Creative Commons attributionnon-Commercial-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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