Dialogues with AI Reduce Beliefs in Misinformation but Build No Lasting Discernment Skills

October 02, 2025 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Anku Rani, Valdemar Danry, Paul Pu Liang, Andrew B. Lippman, Pattie Maes arXiv ID 2510.01537 Category cs.HC: Human-Computer Interaction Citations 0 Venue arXiv.org Last Checked 4 months ago
Abstract
Given the growing prevalence of fake information, including increasingly realistic AI-generated news, there is an urgent need to train people to better evaluate and detect misinformation. While interactions with AI have been shown to durably reduce people's beliefs in false information, it is unclear whether these interactions also teach people the skills to discern false information themselves. We conducted a month-long study where 67 participants classified news headline-image pairs as real or fake, discussed their assessments with an AI system, followed by an unassisted evaluation of unseen news items to measure accuracy before, during, and after AI assistance. While AI assistance produced immediate improvements during AI-assisted sessions (+21\% average), participants' unassisted performance on new items declined significantly by week 4 (-15.3\%). These results indicate that while AI may help immediately, it ultimately degrades long-term misinformation detection abilities.
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