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AI search engines cite incorrect news sources at an alarming 60% rate, study says CJR study shows AI search services misinform users and ignore publisher exclusion requests. Benj Edwards – Mar 13, 2025 10:16 PM | 140 A dartboard with only a few darts hitting it, with many misses beside it. Credit: Wong Yu Liang via Getty Images A new study from Columbia Journalism Review's Tow Center for Digital Journalism finds serious accuracy issues with generative AI models used for news searches. The researchers tested eight AI-driven search tools by providing direct excerpts from real news articles and asking the models to identify each article's original headline, publisher, publication date, and URL. They discovered that the AI models incorrectly cited sources in more than 60 percent of these queries, raising significant concerns about their reliability in correctly attributing news content.
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AI search engines cite incorrect news sources at an alarming 60% rate, study says CJR study shows AI search services misinform users and ignore publisher exclusion requests. Benj Edwards – Mar 13, 2025 10:16 PM | 140 A dartboard with only a few darts hitting it, with many misses beside it. Credit: Wong Yu Liang via Getty Images A new study from Columbia Journalism Review's Tow Center for Digital Journalism finds serious accuracy issues with generative AI models used for news searches. The researchers tested eight AI-driven search tools by providing direct excerpts from real news articles and asking the models to identify each article's original headline, publisher, publication date, and URL. They discovered that the AI models incorrectly cited sources in more than 60 percent of these queries, raising significant concerns about their reliability in correctly attributing news content.
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