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![Beyond Fact-Checking: Empowering Flexible Human-AI Teams to Detect and Counter Online Misinformation
Vahid Ashrafi, Nick Byrd, and Jordan Suchow
Abstract. [Vahid construced] a comprehensive knowledge base of 419 cognitive errors—including cognitive biases and logical fallacies—grounded in empirical findings from psychology and cognitive science. We then trained GPT-4.1, a state-of-the-art language model, to identify potential examples of these cognitive errors in users' posts. ... The robustness of AI-generated insights was rigorously validated by human annotators, achieving high reliability (Spearman’s ρ = 0.86). ... we propose actionable solutions such as targeted cognitive interventions to educate users about common reasoning errors, AI-driven moderation systems that identify problematic reasoning patterns rather than merely flagging false information, and personalized cognitive profiling tools to proactively identify at-risk individuals and communities.](https://files.mastodon.social/cache/media_attachments/files/115/271/638/483/828/745/small/e61c68eb284841b8.png)

