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贝叶斯还是有偏见?分析思维与政治信念更新。

Bayesian or biased? Analytic thinking and political belief updating.

机构信息

Sloan School of Management, Massachusetts Institute of Technology, United States of America.

Hill/Levene School of Business, University of Regina, Canada.

出版信息

Cognition. 2020 Nov;204:104375. doi: 10.1016/j.cognition.2020.104375. Epub 2020 Jun 24.

DOI:10.1016/j.cognition.2020.104375
PMID:32592890
Abstract

A surprising finding from U.S. opinion surveys is that political disagreements tend to be greatest among the most cognitively sophisticated opposing partisans. Recent experiments suggest a hypothesis that could explain this pattern: cognitive sophistication magnifies politically biased processing of new information. However, the designs of these experiments tend to contain several limitations that complicate their support for this hypothesis. In particular, they tend to (i) focus on people's worldviews and political identities, at the expense of their other, more specific prior beliefs, (ii) lack direct comparison with a politically unbiased benchmark, and (iii) focus on people's judgments of new information, rather than on their posterior beliefs following exposure to the information. We report two studies designed to address these limitations. In our design, U.S. subjects received noisy but informative signals about the truth or falsity of partisan political questions, and we measured their prior and posterior beliefs, and cognitive sophistication, operationalized as analytic thinking inferred via performance on the Cognitive Reflection Test. We compared subjects' posterior beliefs to an unbiased Bayesian benchmark. We found little evidence that analytic thinking magnified politically biased deviations from the benchmark. In contrast, we found consistent evidence that greater analytic thinking was associated with posterior beliefs closer to the benchmark. Together, these results are inconsistent with the hypothesis that cognitive sophistication magnifies politically biased processing. We discuss differences between our design and prior work that can inform future tests of this hypothesis.

摘要

美国民意调查的一个令人惊讶的发现是,在最具认知复杂性的对立党派中,政治分歧往往最大。最近的实验提出了一个假设,可以解释这种模式:认知复杂性放大了对新信息的政治偏见处理。然而,这些实验的设计往往存在几个限制,使其难以支持这一假设。特别是,它们往往(i)关注人们的世界观和政治身份,而忽略了他们的其他更具体的先验信念,(ii)缺乏与政治无偏见基准的直接比较,以及(iii)关注人们对新信息的判断,而不是在接触信息后对他们的后验信念的判断。我们报告了两项旨在解决这些限制的研究。在我们的设计中,美国受试者收到了关于党派政治问题真假的嘈杂但信息丰富的信号,我们测量了他们的先验和后验信念,以及认知复杂性,通过认知反射测试的表现来推断分析思维。我们将受试者的后验信念与无偏贝叶斯基准进行了比较。我们几乎没有发现分析思维放大了与基准的政治偏见偏差的证据。相比之下,我们发现了一致的证据表明,更强的分析思维与更接近基准的后验信念相关。这些结果与认知复杂性放大政治偏见处理的假设不一致。我们讨论了我们的设计与之前工作的差异,这些差异可以为未来对这一假设的检验提供信息。

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