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Change My View? The Dynamics of Persuasion and Polarization in Online Discourse

Summary

This study uses large language models to analyze debates on Reddit's r/ChangeMyView forum, finding that expressions of concession or empathetic alignment significantly increase the likelihood of belief revision, while frontal refutation, credibility attacks, and topic deflection diminish it. The findings highlight the importance of relational framing alongside evidential content in effective public reasoning.

SourcearXiv Computational LinguisticsAuthor: David Freeborn, Malihe Alikani, Anthony Sicilia
Change My View? The Dynamics of Persuasion and Polarization in Online Discourse
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[2605.08383] Change My View? The Dynamics of Persuasion and Polarization in Online Discourse

[Submitted on 8 May 2026]

Title:Change My View? The Dynamics of Persuasion and Polarization in Online Discourse

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Abstract:Philosophical accounts of persuasion often assume that shared evidence and rational argumentation should lead to a convergence of views between peers, yet everyday discourse often suggests otherwise. In this study, we use large language models to analyze a corpus of debates on Reddit's r/ChangeMyView, where belief revision is publicly signaled. Large language models were asked, halfway through each discussion, to forecast whether such an acknowledgement would arise; their probabilistic estimates serve as a conversational baseline. Each reply was then coded, through a hybrid machine-assisted procedure, for ten familiar rhetorical strategies -- concession, empathy, logical challenge, credibility appeals, and so forth. Adding these strategic features markedly improves predictive power and yields a consistent pattern: moves that express concession or empathetic alignment substantially increase the prospect of belief change, whereas frontal refutation, credibility attacks, and topic deflection diminish it. The findings indicate that effective public reasoning depends as much on relational framing as on evidential content, and they invite a refinement of normative accounts of rational dialogue.

Subjects:

Computation and Language (cs.CL)

Cite as: arXiv:2605.08383 [cs.CL]

(or arXiv:2605.08383v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2605.08383

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: David Freeborn [view email] [v1] Fri, 8 May 2026 18:40:51 UTC (14 KB)

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Key points and analysis

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Key points

  • LLMs were used to forecast belief revision in debates and to code rhetorical strategies.
  • Concession and empathy boost belief change; refutation and attacks reduce it.
  • Relational framing matters as much as evidence, challenging traditional philosophical accounts.

Highlights and analysis are generated automatically and may contain errors. Check the original source.