Department of Psychology, School of Social Sciences, University of Crete, Rethymno 74100, Greece.
Department of Microeconomics and Public Economics, School of Business and Economics, Maastricht University, Maastricht 6200, The Netherlands.
Soc Cogn Affect Neurosci. 2024 Sep 19;19(1). doi: 10.1093/scan/nsae056.
Susceptibility to misinformation and belief polarization often reflects people's tendency to incorporate information in a biased way. Despite the presence of competing theoretical models, the underlying neurocognitive mechanisms of motivated reasoning remain elusive as previous empirical work did not properly track the belief formation process. To address this problem, we employed a design that identifies motivated reasoning as directional deviations from a Bayesian benchmark of unbiased belief updating. We asked the members of a proimmigration or an anti-immigration group regarding the extent to which they endorse factual messages on foreign criminality, a polarizing political topic. Both groups exhibited a desirability bias by overendorsing attitude-consistent messages and underendorsing attitude-discrepant messages and an identity bias by overendorsing messages from in-group members and underendorsing messages from out-group members. In both groups, neural responses to the messages predicted subsequent expression of desirability and identity biases, suggesting a common neural basis of motivated reasoning across ideologically opposing groups. Specifically, brain regions implicated in encoding value, error detection, and mentalizing tracked the degree of desirability bias. Less extensive activation in the mentalizing network tracked the degree of identity bias. These findings illustrate the distinct neurocognitive architecture of desirability and identity biases and inform existing cognitive models of politically motivated reasoning.
易受错误信息和信仰两极分化的影响,往往反映出人们以有偏见的方式整合信息的倾向。尽管存在竞争的理论模型,但动机推理的潜在神经认知机制仍然难以捉摸,因为之前的实证工作没有正确跟踪信仰形成过程。为了解决这个问题,我们采用了一种设计,将动机推理识别为从无偏差信念更新的贝叶斯基准的方向偏差。我们要求支持移民或反对移民的群体成员,就他们对外国犯罪等极化政治话题的事实信息的认可程度发表意见。这两个群体都表现出了一种期望偏差,即过度认可与态度一致的信息,而对与态度不一致的信息的认可程度较低,同时也表现出了一种身份偏差,即过度认可群体内成员的信息,而对群体外成员的信息的认可程度较低。在这两个群体中,对信息的神经反应预测了随后表现出的期望偏差和身份偏差,这表明动机推理在意识形态对立的群体中具有共同的神经基础。具体来说,涉及编码价值、错误检测和心理理论的大脑区域跟踪了期望偏差的程度。心理理论网络的激活程度较低则跟踪了身份偏差的程度。这些发现说明了期望偏差和身份偏差的独特神经认知结构,并为现有的政治动机推理认知模型提供了信息。