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AI Helped People Spot Fake News—Then Made Them Worse at It: MIT
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People using AI to evaluate the accuracy of news stories may become less effective at spotting misinformation on their own, according to new research from MIT's Media Lab.
Key facts
- Because the study used the older GPT-4o and Claude 3.5 Sonnet, it's unclear whether newer AI models like GPT-5.5 or Claude Opus 4.8 with stronger reasoning capabilities would have produced similar
- In a four-week study involving 67 participants, 7,203 AI conversations, and 4,536 news-authenticity judgments, researchers assessed how people evaluated real and fake news headlines and images
- Following Iranian missile strikes against Israel in June 2025, videos purporting to show destruction in Tel Aviv and at Ben Gurion Airport spread widely across social media, gaining millions of views
- To conduct the study, researchers built a system that combined OpenAI's GPT-4o with Google Search to help participants evaluate news stories
Summary
MIT researchers tracked 67 participants over four weeks using an AI-powered misinformation detection system. Accuracy improved by 21% during AI-assisted sessions, while unassisted performance later fell by 15.3 percentage points. The study comes as social media platforms, including X, work to crack down on AI-generated war footage. According to MIT researchers, the study comes as AI chatbots are increasingly being used to verify information online, raising questions about whether the tools help users develop critical thinking skills or simply outsource the task to AI.