Suppr超能文献

两两一致性的吸引力解释了意识形态分类的出现。

Attraction by pairwise coherence explains the emergence of ideological sorting.

作者信息

Zimmerman Federico, Pedraza Lucía, Navajas Joaquín, Balenzuela Pablo

机构信息

Laboratorio de Neurociencia, Universidad Torcuato Di Tella, Av. Figueroa Alcorta 7350, C1428BCW, Buenos Aires, Argentina.

Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, C1425FQB, Buenos Aires, Argentina.

出版信息

PNAS Nexus. 2024 Jul 8;3(7):pgae263. doi: 10.1093/pnasnexus/pgae263. eCollection 2024 Jul.

Abstract

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.

摘要

政治两极分化已成为民主社会日益关注的问题,因为它导致群体对立,并侵蚀公民之间的公民审议。鉴于其在不同国家的普遍存在,先前的研究试图了解在哪些条件下人们倾向于支持极端观点。然而,在两极分化的背景下,公民不仅会采取更极端的观点,而且在一些先验上看似不相关的问题上也会变得相互关联。这种被称为“意识形态分类”的现象近年来受到了更多关注,但其出现的微观层面机制仍知之甚少。在这里,我们研究了一个社会动态系统在何种条件下有望根据其个体之间的互动机制而出现意识形态分类。为此,我们开发并分析了一个多维基于主体的模型,该模型纳入了两种机制: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上一致观点的内群体互动)。我们对完美描述系统动态的模型主方程进行了数值积分,发现意识形态分类仅在包含成对一致性偏好的模型中出现。然后,我们将模型的结果与来自67个主题的24035条意见的实证数据进行了比较,发现成对一致性偏好在测量政治态度的数据集中显著存在,但在与政治无关的主题中不存在。总体而言,这项工作将系统动力学的理论方法与基于模型的实证数据分析相结合,以揭示意识形态分类普遍存在的潜在机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8df/11288373/aaa1320c605c/pgae263f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验