追踪大脑中的政治动机推理:心智化、价值编码和错误检测网络的作用。

Giannis Lois, Elias Tsakas, Kenneth Yuen, Arno Riedl
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引用次数: 0

摘要

对错误信息的易感性和信念的两极化往往反映出人们倾向于以有偏见的方式吸收信息。尽管存在相互竞争的理论模型,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并没有正确追踪信念形成的过程。为了解决这个问题,我们采用了一种设计方法,将动机推理确定为对无偏见信念更新的贝叶斯基准的定向偏离。我们询问支持移民或反对移民群体的成员,他们对外国犯罪这一两极化政治话题的事实信息的认可程度。这两组人都表现出了可取性偏差,即过度认可态度一致的信息,而对态度不一致的信息认可度较低;同时还表现出了身份偏差,即过度认可来自内群体成员的信息,而对来自外群体成员的信息认可度较低。在这两组人中,对信息的神经反应预示着随后的可取性偏差和身份偏差的表达,这表明在意识形态对立的群体中,动机推理具有共同的神经基础。具体来说,与价值编码、错误检测和心智化有关的大脑区域会跟踪可取性偏差的程度。心智网络中较少的激活可追踪身份偏差的程度。这些发现说明了可取性偏差和身份偏差的不同神经认知结构,并为现有的政治动机推理认知模型提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tracking politically motivated reasoning in the brain: the role of mentalizing, value-encoding, and error detection networks.

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.

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