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AI systems use Canadian journalism but don't attribute sources: report
A study of 2,267 Canadian news stories found AI models failed to attribute sources 82% of the time, impacting news outlets' revenue and readership, report says.
- On March 16, 2026, a report released at a Banff summit says AI systems depend on Canadian journalism but do not offer compensation or proper attribution.
- AI companies ingesting news archives are central to extracting value without proper attribution, raising questions about copyright and licensing, as the Canadian Press report states.
- Researchers reported attribution statistics showing that when four major AI models were asked about Canadian news stories, they failed to provide source attribution about 82 per cent of the time and named a Canadian news source only 28 per cent of the time.
- A coalition of Canadian news outlets is suing OpenAI in Ontario court amid concerns over copyright and data mining, according to the report.
- The report warns the system 'accelerates the economic decline of the journalism it relies on', while responses sometimes include links but news consumers rarely see whose journalism they are reading.
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32 Articles
32 Articles
According to a new report, artificial intelligences offer neither compensation nor adequate mention of their source.
·Montreal, Canada
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The Toronto Star+14 Reposted by 14 other sources
AI systems use Canadian journalism but seldom cite media sources: report
OTTAWA - AI systems depend on Canadian journalism for the information they provide users but don't offer compensation or proper attribution in return, says a new study.
·Toronto, Canada
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One study argues that the system "accelerates the economic decline of journalism on which it depends".
·Montreal, Canada
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Coverage Details
Total News Sources32
Leaning Left22Leaning Right1Center4Last UpdatedBias Distribution81% Left
Bias Distribution
- 81% of the sources lean Left
81% Left
L 81%
15%
Factuality
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