Bliuc Ana-Maria, Betts John M, Vergani Matteo, Bouguettaya Ayoub, Cristea Mioara
Division of Psychology, University of Dundee, Dundee, UK.
Department of Data Science & AI, Monash University, Melbourne, VIC, Australia.
Commun Psychol. 2024 Aug 15;2(1):75. doi: 10.1038/s44271-024-00125-1.
We propose a framework integrating insights from computational social science, political, and social psychology to explain how extreme polarization can occur in deeply divided societies. Extreme polarization in a society emerges through a dynamic and complex process where societal, group, and individual factors interact. Dissent at different levels of analysis represents the driver of this process, where societal-level ideological dissent divides society into opposing camps, each with contrasting collective narratives. Within these opposing camps, further dissent leads to the formation of splinter factions and radical cells-sub-groups with increasingly extreme views. At the group level, collective narratives underpinning group identity become more extreme as society fragments. At the individual level, this process involves the internalization of an extreme group narrative and norms sanctioning radical behavior. The intense bonding within these groups and the convergence of personal and group identities through identity fusion increase the likelihood of radical group behavior.
我们提出了一个整合计算社会科学、政治和社会心理学见解的框架，以解释在深度分裂的社会中极端两极分化是如何发生的。社会中的极端两极分化是通过一个动态且复杂的过程出现的，在这个过程中，社会、群体和个体因素相互作用。不同分析层面的异议是这一过程的驱动因素，其中社会层面的意识形态异议将社会划分为对立阵营，每个阵营都有截然不同的集体叙事。在这些对立阵营中，进一步的异议导致了分裂派别和激进团体的形成，这些子团体的观点越来越极端。在群体层面，随着社会分裂，支撑群体认同的集体叙事变得更加极端。在个体层面，这个过程涉及极端群体叙事的内化以及对激进行为的规范认可。这些群体内部的紧密联系以及通过身份融合实现的个人与群体身份的趋同，增加了激进群体行为发生的可能性。
