How rational inference about authority debunking can curtail, sustain, or spread belief polarization.

IF 2.2 Q2 MULTIDISCIPLINARY SCIENCES PNAS nexus Pub Date : 2024-10-15 eCollection Date: 2024-10-01 DOI:10.1093/pnasnexus/pgae393
Setayesh Radkani, Marika Landau-Wells, Rebecca Saxe
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Abstract

In polarized societies, divided subgroups of people have different perspectives on a range of topics. Aiming to reduce polarization, authorities may use debunking to lend support to one perspective over another. Debunking by authorities gives all observers shared information, which could reduce disagreement. In practice, however, debunking may have no effect or could even contribute to further polarization of beliefs. We developed a cognitively inspired model of observers' rational inferences from an authority's debunking. After observing each debunking attempt, simulated observers simultaneously update their beliefs about the perspective underlying the debunked claims and about the authority's motives, using an intuitive causal model of the authority's decision-making process. We varied the observers' prior beliefs and uncertainty systematically. Simulations generated a range of outcomes, from belief convergence (less common) to persistent divergence (more common). In many simulations, observers who initially held shared beliefs about the authority later acquired polarized beliefs about the authority's biases and commitment to truth. These polarized beliefs constrained the authority's influence on new topics, making it possible for belief polarization to spread. We discuss the implications of the model with respect to beliefs about elections.

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关于权威揭穿的理性推论如何抑制、维持或扩散信仰两极分化。
在两极分化的社会中,不同的人群对一系列话题持有不同的观点。为了减少两极分化,权威人士可能会利用揭穿来支持一种观点。权威人士的驳斥为所有观察者提供了共享信息,可以减少分歧。然而,在实践中,揭穿可能不会产生任何效果,甚至可能导致信仰的进一步两极分化。我们从认知角度出发,建立了一个观察者从权威揭穿中进行理性推断的模型。模拟观察者在观察了每一次驳斥尝试后,都会同时更新他们对被驳斥的观点和权威人士动机的看法,并使用权威人士决策过程的直观因果模型。我们系统地改变了观察者的先验信念和不确定性。模拟产生了一系列结果,从信念趋同(较少见)到持续分歧(较常见)。在许多模拟中,最初对权威持有共同信念的观察者后来对权威的偏见和对真理的承诺产生了两极分化的信念。这些两极分化的信念限制了权威对新话题的影响,使得信念两极分化有可能扩散。我们将讨论该模型对选举信念的影响。
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