Countering division with friendliness: How feeling understood by a friendly AI triggers both openness and resistance

Fostering understanding across divides could counter societal polarization but also risks reinforcing existing views. Using AI chatbots to experimentally induce interpersonal experiences, it was tested whether feeling understood enhances openness to opposing information. Across four studies ( N = 1,839), participants engaged in 6-minute chatbot conversations before reading articles that challenged their vaccination or climate change views. These conversations were experimentally varied to be neutral, deflective, friendly, corrective, or understanding-focused. Both understanding-focused and friendly conversations increased feelings of understanding, enhancing perceived credibility of opposing information and predicting counter-attitudinal behavioural intentions—mediated paths that persisted at a 60-day follow-up. While experimental mediation effects were small but consistent (β = 0.02-0.06), correlational relationships were robust (β = 0.12-0.41). The effects were strongest among anti-vaccination and climate-sceptic participants. However, despite producing the strongest initial effects on credibility and intentions, random topic friendly conversations also generated suppressed negative direct effects that became apparent at follow-up, suggesting dual systems: one that automatically responds to social cues, and another that simultaneously detects artificiality. Factual corrections, initially without impact, showed positive effects at follow-up. These findings illuminate feeling understood as fundamental to bridging divides—powerful enough that even artificial displays activate openness, yet suggesting potential resilience through simultaneous authenticity detection, with implications for defending against cognitive warfare. • AI chat fostering understanding increases openness to opposing information • Friendly AI chats reveal competing human systems of openness and resistance • Factual correction conversations show delayed benefits for attitude change • The positive effects of feeling understood persist over a 60-day period

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Publication Details

Journal
Computers in Human Behavior
Published
2025-11-20
DOI
https://doi.org/10.1016/j.chb.2025.108870
Primary Topic
Misinformation and Its Impacts
Type
article
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article

Countering division with friendliness: How feeling understood by a friendly AI triggers both openness and resistance

R. John Huber
Computers in Human Behavior
Misinformation and Its Impacts
article

Countering division with friendliness: How feeling understood by a friendly AI triggers both openness and resistance

R. John Huber
article en

Abstract

Fostering understanding across divides could counter societal polarization but also risks reinforcing existing views. Using AI chatbots to experimentally induce interpersonal experiences, it was tested whether feeling understood enhances openness to opposing information. Across four studies ( N = 1,839), participants engaged in 6-minute chatbot conversations before reading articles that challenged their vaccination or climate change views. These conversations were experimentally varied to be neutral, deflective, friendly, corrective, or understanding-focused. Both understanding-focused and friendly conversations increased feelings of understanding, enhancing perceived credibility of opposing information and predicting counter-attitudinal behavioural intentions—mediated paths that persisted at a 60-day follow-up. While experimental mediation effects were small but consistent (β = 0.02-0.06), correlational relationships were robust (β = 0.12-0.41). The effects were strongest among anti-vaccination and climate-sceptic participants. However, despite producing the strongest initial effects on credibility and intentions, random topic friendly conversations also generated suppressed negative direct effects that became apparent at follow-up, suggesting dual systems: one that automatically responds to social cues, and another that simultaneously detects artificiality. Factual corrections, initially without impact, showed positive effects at follow-up. These findings illuminate feeling understood as fundamental to bridging divides—powerful enough that even artificial displays activate openness, yet suggesting potential resilience through simultaneous authenticity detection, with implications for defending against cognitive warfare. • AI chat fostering understanding increases openness to opposing information • Friendly AI chats reveal competing human systems of openness and resistance • Factual correction conversations show delayed benefits for attitude change • The positive effects of feeling understood persist over a 60-day period

Computers in Human BehaviorVol. 176
University of Bern (CH)
Openalex Percentile: Top 55%
Misinformation and Its Impacts
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Countering division with friendliness: How feeling understood by a friendly AI triggers both openness and resistance — R. John Huber · Computers in Human Behavior (2025) | TGRS Research Map | TGRS