Study finds AI search engines struggle with news attribution – THE DECODER
A new study reveals major problems with how AI search engines handle news citations, even when they have formal agreements with publishers.
While nearly 25% of Americans now use AI search engines instead of traditional tools, according to recent data, these systems often fail at basic source attribution. Research from Columbia University’s Tow Center for Digital Journalism tested eight AI search engines, including ChatGPT, Perplexity, and Google Gemini, by asking them to identify headlines, sources, publication dates, and URLs from random news articles.
The results paint a concerning picture: more than 60% of queries received incorrect answers. Perplexity emerged as the top performer with a 37% error rate, while Grok 3 struggled significantly, misattributing 94% of citations.
Paid services perform worse than free versions
Surprisingly, paid services like Perplexity Pro and Grok 3 performed worse than their free counterparts. While they attempted to answer more queries, they were…
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source: https://news.oneseocompany.com/2025/03/07/study-finds-ai-search-engines-struggle-with-news-attribution-the-decoder_2025030760365.html
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