TL;DR
This paper introduces an agent-based model to understand and identify policy interventions that can prevent the self-reinforcing escalation of ideological polarization, which threatens democratic stability.
Contribution
It develops a novel agent-based modeling framework that differentiates interaction tendencies and responses, providing insights into preventing extreme political polarization.
Findings
Higher tolerance reduces polarization escalation
Increased exposure to dissimilar views mitigates polarization
External shocks can either escalate or dampen polarization
Abstract
Extreme polarization can undermine democracy by making compromise impossible and transforming politics into a zero-sum game. Ideological polarization - the extent to which political views are widely dispersed - is already strong among elites, but less so among the general public (McCarty, 2019, p. 50-68). Strong mutual distrust and hostility between Democrats and Republicans in the U.S., combined with the elites' already strong ideological polarization, could lead to increasing ideological polarization among the public. The paper addresses two questions: (1) Is there a level of ideological polarization above which polarization feeds upon itself to become a runaway process? (2) If so, what policy interventions could prevent such dangerous positive feedback loops? To explore these questions, we present an agent-based model of ideological polarization that differentiates between the…
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