Evans Tucker, Fu Feng
Department of Mathematics, Dartmouth College, 27 North Main Street, 6188 Kemeny Hall, Hanover, NH 03755, USA.
Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA.
R Soc Open Sci. 2018 Oct 24;5(10):181122. doi: 10.1098/rsos.181122. eCollection 2018 Oct.
Modern political interaction is characterized by strong partisanship and a lack of interest in information sharing and agreement across party lines. It remains largely unclear how such partisan echo chambers arise and how they coevolve with opinion formation. Here, we explore the emergence of these structures through the lens of coevolutionary games. In our model, the payoff of an individual is determined jointly by the magnitude of their opinion, their degree of conformity with their social neighbours and the benefit of having social connections. Each individual can simultaneously adjust their opinion and the weights of their social connections. We present and validate the conditions for the emergence of partisan echo chambers, characterizing the transition from cohesive communities with a consensus to divisive networks with splitting opinions. Moreover, we apply our model to voting records of the US House of Representatives over a timespan of decades to understand the influence of underlying psychological and social factors on increasing partisanship in recent years. Our work helps elucidate how the division of today has come to be and how cohesion and unity could otherwise be attained on a variety of political and social issues.
现代政治互动的特点是强烈的党派偏见以及对跨党派信息共享和达成共识缺乏兴趣。目前很大程度上尚不清楚这种党派回音室是如何产生的,以及它们如何与舆论形成共同演化。在此,我们通过协同进化博弈的视角来探究这些结构的出现。在我们的模型中,个体的收益由其观点的强度、与社会邻居的一致程度以及拥有社会联系的益处共同决定。每个个体可以同时调整其观点和社会联系的权重。我们提出并验证了党派回音室出现的条件,刻画了从具有共识的凝聚社群到观点分裂的分裂网络的转变。此外,我们将模型应用于美国众议院数十年的投票记录,以了解潜在心理和社会因素对近年来党派偏见加剧的影响。我们的工作有助于阐明当今的分裂是如何形成的,以及在各种政治和社会问题上如何实现凝聚和团结。