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

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 15.3% in week 4 compared to week 0. These results indicate that while AI may help immediately, it may ultimately degrade long-term misinformation detection abilities.

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Publication Details

Published
2026-04-13
DOI
https://doi.org/10.1145/3772318.3790656
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
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article

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

Valdemar Danry, Pattie Maes, Paul Pu Liang, Anku Rani et al.
Misinformation and Its Impacts
article

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

Valdemar Danry, Pattie Maes, Paul Pu Liang, Anku Rani, Andrew Lippman
article en

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 15.3% in week 4 compared to week 0. These results indicate that while AI may help immediately, it may ultimately degrade long-term misinformation detection abilities.

IIT@MIT (US), Human Media (US), Massachusetts Institute of Technology (US)
Openalex Percentile: Top 100%
Misinformation and Its Impacts
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Dialogues with AI Reduce Beliefs in Misinformation but Build No Lasting Discernment Skills — Valdemar Danry, Pattie Maes, et al. · (2026) | TGRS Research Map | TGRS