成对一致性的吸引力解释了意识形态分类的出现

Federico Zimmerman, Lucía Pedraza, Joaquín Navajas, Pablo Balenzuela
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引用次数: 0

摘要

政治两极化已成为民主社会日益关注的问题,因为它驱使部落结盟,侵蚀公民之间的公民审议。鉴于两极分化在不同国家普遍存在,以往的研究试图了解人们在什么情况下倾向于支持极端观点。然而,在两极分化的背景下,公民不仅会采纳更极端的观点,而且还会在一些先验看来毫无关联的问题上产生关联。这种现象被称为 "意识形态排序",近年来受到越来越多的关注,但人们对其产生的微观机制仍然知之甚少。在此,我们研究了一个社会动态系统在何种条件下会出现意识形态排序,这与系统中个体之间的互动机制有关。为此,我们开发并分析了一个基于代理的多维模型,该模型包含两种机制:同质性(人们倾向于与持有相似观点的人互动)和成对一致性偏好(人们倾向于与持有政治一致观点的内部群体互动)。我们对完美描述系统动态的模型主方程进行了数值积分,发现意识形态排序只出现在包含成对一致性偏好的模型中。然后,我们将该模型的结果与来自 67 个主题的 24,035 条意见的经验数据进行了比较,发现在测量政治态度的数据集中明显存在配对一致性偏好,但在与政治无关的主题中却不存在配对一致性偏好。总之,这项研究将系统动力学的理论方法与基于模型的经验数据分析相结合,揭示了意识形态排序普遍存在的潜在机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attraction by pairwise coherence explains the emergence of ideological sorting
Political polarization has become a growing concern in democratic societies, as it drives tribal alignments and erodes civic deliberation among citizens. Given its prevalence across different countries, previous research has sought to understand under which conditions people tend to endorse extreme opinions. However, in polarized contexts, citizens not only adopt more extreme views but also become correlated across issues that are, a priori, seemingly unrelated. This phenomenon, known as “ideological sorting”, has been receiving greater attention in recent years but the micro-level mechanisms underlying its emergence remain poorly understood. Here, we study the conditions under which a social dynamic system is expected to become ideologically sorted as a function of the mechanisms of interaction between its individuals. To this end, we developed and analyzed a multidimensional agent-based model that incorporates two mechanisms: homophily (where people tend to interact with those holding similar opinions) and pairwise-coherence favoritism (where people tend to interact with ingroups holding politically coherent opinions). We numerically integrated the model’s master equations that perfectly describe the system’s dynamics and found that ideological sorting only emerges in models that include pairwise-coherence favoritism. We then compared the model’s outcomes with empirical data from 24,035 opinions across 67 topics and found that pairwise-coherence favoritism is significantly present in datasets that measure political attitudes but absent across topics not considered related to politics. Overall, this work combines theoretical approaches from system dynamics with model-based analyses of empirical data to uncover a potential mechanism underlying the pervasiveness of ideological sorting.
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