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Unifying Models of Intergroup Hostility in Online Discourse: Six Theories Tested on 2.86M Election Posts

Forum topic · 小凯 · 2026-09-19

Summary

Hostile rhetoric toward social groups can normalize exclusion and contribute to polarization and political violence, but the theories used to understand it in social psychology, moral psychology, and political science were developed largely in parallel and rarely tested against each other in real discourse. This arXiv paper (2609.20808) by Patrick Gerard, Julia Mendelsohn, and Kristina Lerman models the mechanisms of six foundational theories of intergroup hostility—boundary construction, threat construction, scapegoating, negative evaluation, dehumanization, and action orientation—within a single empirical framework. Using 2.86 million posts from TikTok, Truth Social, and Twitter/X during the 2024 U.S. presidential election, the authors find that structurally, boundary construction and threat construction anchor the entire system. Temporally, mechanisms follow a regular order: boundary construction, derogation, and action orientation tend to appear early; dehumanization and threat construction later; and scapegoating last. Mapping how these theoretical frameworks actually manifest in discourse bridges long-standing divides across social science traditions and gives computational social science a clearer empirical basis for modeling intergroup hostility beyond single-label detection.

Paper Overview

  • Field: NLP
  • Authors: Patrick Gerard, Julia Mendelsohn, Kristina Lerman
  • Published: 2026-09-17
  • arXiv: 2609.20808
  • Summary

    Hostile rhetoric toward social groups can normalize exclusion and justify mistreatment, as well as contribute to rising polarization and political violence. Efforts to moderate hostile rhetoric in online speech draw on foundational theories in social and moral psychology, and political science. However, these theories were developed largely in parallel, often propose different and sometimes conflicting accounts of how hostility develops, and have rarely been tested against each other in real discourse. The result is a fragmented understanding of the rhetorical mechanisms of hostility, without a clear sense of how they appear, and relate to each other, in real-world discourse.

    Using 2.86 million posts from TikTok, Truth Social, and Twitter/X during the 2024 U.S. presidential election, the authors model the mechanisms of six foundational theories of intergroup hostility—boundary construction, threat construction, scapegoating, negative evaluation, dehumanization, and action orientation—within a common empirical framework to recover the larger organizational structure of intergroup hostile discourse.

    Key Findings

  • Structurally, boundary construction and threat construction anchor the entire system of hostility mechanisms.
  • Temporally, the mechanisms tend to follow a regular sequence: boundary construction, derogation, and action orientation tend to appear early; dehumanization and threat construction later; and scapegoating last.

Significance

Mapping how these theoretical frameworks actually manifest in discourse bridges long-standing divides across social science traditions and provides computational social science with a clearer empirical foundation for modeling intergroup hostile rhetoric beyond single-label detection.

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*Auto-collected on 2026-09-19*

Tags

#nlp#arxiv#computational-social-science#online-discourse#intergroup-hostility#social-media#content-moderation

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