How out-group animosity can shape partisan divisions: A model of affective polarization

Politically divided societies are also often divided emotionally: people like and trust those with similar political views (in-group favoritism) while disliking and distrusting those with different views (out-group animosity). This phenomenon, called affective polarization, influences individual decisions, including seemingly apolitical choices such as whether to wear a mask or what car to buy. We present a dynamical model of decision-making in an affectively polarized society, identifying three potential global outcomes separated by a sharp boundary in the parameter space: consensus, partisan polarization, and nonpartisan polarization. Analysis reveals that larger out-group animosity compared to in-group favoritism, i.e. <i>more hate than love</i>, is sufficient for polarization, while larger in-group favoritism compared to out-group animosity, i.e. <i>more love than hate</i>, is necessary for consensus. We also show that, counterintuitively, increasing cross-party connections facilitates polarization, and that by emphasizing partisan differences, mass media creates self-fulfilling prophecies that lead to polarization. Affective polarization also creates <i>tipping points</i> in the opinion landscape where one group suddenly reverses their trends. Our findings aid in understanding and addressing the cascading effects of affective polarization, offering insights for strategies to mitigate polarization.

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Publication Details

Journal
PNAS Nexus
Published
2025-02-27
DOI
https://doi.org/10.1093/pnasnexus/pgaf082
Citations
7
Primary Topic
Opinion Dynamics and Social Influence
Type
article
Field-Weighted Citation Impact
9.27
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article

How out-group animosity can shape partisan divisions: A model of affective polarization

Allon G. Percus, Kristina Lerman, Buddhika Nettasinghe
7 citations
PNAS Nexus
Opinion Dynamics and Social Influence
9.27
article

How out-group animosity can shape partisan divisions: A model of affective polarization

Allon G. Percus, Kristina Lerman, Buddhika Nettasinghe
article en
7 citations

Abstract

Politically divided societies are also often divided emotionally: people like and trust those with similar political views (in-group favoritism) while disliking and distrusting those with different views (out-group animosity). This phenomenon, called affective polarization, influences individual decisions, including seemingly apolitical choices such as whether to wear a mask or what car to buy. We present a dynamical model of decision-making in an affectively polarized society, identifying three potential global outcomes separated by a sharp boundary in the parameter space: consensus, partisan polarization, and nonpartisan polarization. Analysis reveals that larger out-group animosity compared to in-group favoritism, i.e. <i>more hate than love</i>, is sufficient for polarization, while larger in-group favoritism compared to out-group animosity, i.e. <i>more love than hate</i>, is necessary for consensus. We also show that, counterintuitively, increasing cross-party connections facilitates polarization, and that by emphasizing partisan differences, mass media creates self-fulfilling prophecies that lead to polarization. Affective polarization also creates <i>tipping points</i> in the opinion landscape where one group suddenly reverses their trends. Our findings aid in understanding and addressing the cascading effects of affective polarization, offering insights for strategies to mitigate polarization.

PNAS NexusVol. 4(3)
University of Southern California (US), University of Iowa (US), Claremont Graduate University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 2%
Opinion Dynamics and Social Influence
9.27
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How out-group animosity can shape partisan divisions: A model of affective polarization — Allon G. Percus, Kristina Lerman, et al. · PNAS Nexus (2025) | TGRS Research Map | TGRS