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The Ideological Turing Test for Moderation of Outgroup Affective Animosity

Computers and Society 2025-12-16 v1 Human-Computer Interaction Physics and Society

Abstract

Rising animosity toward ideological opponents poses critical societal challenges. We introduce and test the Ideological Turing Test, a gamified framework requiring participants to adopt and defend opposing viewpoints, to reduce affective animosity and affective polarization. We conducted a mixed-design experiment (N=203N = 203) with four conditions: modality (debate/writing) x perspective-taking (Own/Opposite side). Participants engaged in structured interactions defending assigned positions, with outcomes judged by peers. We measured changes in affective animosity and ideological position immediately post-intervention and at 2-6 week follow-up. Perspective-taking reduced out-group animosity and ideological polarization. However, effects differed by modality (writing vs. debate) and over time. For affective animosity, writing from the opposite perspective yielded the largest immediate reduction (Δ=+0.45\Delta=+0.45 SD), but the effect was not detectable at the 4-6 week follow-up. In contrast, the debate modality maintained a statistically significant reduction in animosity immediately after and at follow-up (Δ=+0.37\Delta=+0.37 SD). For ideological position, adopting the opposite perspective led to significant immediate movement across modalities (writing: Δ=+0.91\Delta=+0.91 SD; debate: Δ=+0.51\Delta=+0.51 SD), and these changes persisted at follow-up. Judged performance (winning) did not moderate these effects, and willingness to re-participate was similar across conditions (~20-36%). These findings challenge assumptions about adversarial methods, revealing distinct temporal patterns: non-adversarial engagement fosters short-term empathy gains, while cognitive engagement through debate sustains affective benefits. The Ideological Turing Test demonstrates potential as a scalable tool for reducing polarization, particularly when combining perspective-taking with reflective adversarial interactions.

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Cite

@article{arxiv.2512.12187,
  title  = {The Ideological Turing Test for Moderation of Outgroup Affective Animosity},
  author = {David Gamba and Daniel M. Romero and Grant Schoenebeck},
  journal= {arXiv preprint arXiv:2512.12187},
  year   = {2025}
}

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32 pages