Edinger Andy, Bollen Johan, Makse Hernán A, Serafino Matteo
Center for Social and Biomedical Complexity, Indiana University, Bloomington, IN, USA.
Cognitive Science Program, Indiana University, Bloomington, IN, USA.
Commun Psychol. 2025 Jul 15;3(1):105. doi: 10.1038/s44271-025-00289-4.
Political polarization has increased over the past decade to the point of endangering our self-governance and democratic institutions. The thought patterns that characterize political polarization bear a striking similarity to cognitive distortions, a pattern of thought associated with internalizing disorders such as depression and anxiety. Individuals with such disorders tend to think about themselves and others in exaggerated, absolutist, and black-and-white terms, matching the psychosocial features of political polarization. Here, we compare the prevalence of language patterns that have shown to be indicative of cognitive distortions among a cohort of Twitter users discussing the 2016 and 2020 elections. The full dataset comprises 37292720 tweets by 1558934 users in 2016 and 47532985 tweets by 3005657 users in 2020. We find a sharp increase of such markers between these two elections, indicating a profound change in political thinking aligned with cognitive distortions. We further investigate differences in the relationship between political thinking and cognitive distortions according to users' ideological leaning. We find that users on the political left exhibit a stronger relationship between the level of extremism and distortion prevalence, while users on the right exhibit a higher baseline prevalence of cognitive distortion use. Our findings suggest a psychosocial connection between the cognitive mechanisms involved in cognitive distortions and the rise of political polarization, offering avenues for addressing its adverse societal impacts.
在过去十年中,政治两极分化加剧,已危及我们的自治和民主制度。构成政治两极分化特征的思维模式与认知扭曲有着惊人的相似之处,认知扭曲是一种与诸如抑郁和焦虑等内化障碍相关的思维模式。患有此类障碍的个体倾向于以夸张、绝对和非黑即白的方式看待自己和他人,这与政治两极分化的社会心理特征相匹配。在此,我们比较了在讨论2016年和2020年选举的推特用户群体中,已被证明可指示认知扭曲的语言模式的流行程度。完整数据集包括2016年1558934名用户发布的37292720条推文,以及2020年3005657名用户发布的47532985条推文。我们发现这两次选举之间此类指标急剧增加,表明与认知扭曲一致的政治思维发生了深刻变化。我们进一步根据用户的意识形态倾向,研究政治思维与认知扭曲之间关系的差异。我们发现,政治左翼的用户在极端主义程度与扭曲流行程度之间表现出更强的关系,而政治右翼的用户在认知扭曲使用方面的基线流行率更高。我们的研究结果表明,认知扭曲所涉及的认知机制与政治两极分化的加剧之间存在社会心理联系,为应对其不利的社会影响提供了途径。