Partisan Bias in Political Judgment.

IF 6.5 1区 物理与天体物理 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY ACS Photonics Pub Date : 2024-09-05 DOI:10.1146/annurev-psych-030424-122723
Peter H Ditto, Jared B Celniker, Shiri Spitz Siddiqi, Mertcan Güngör, Daniel P Relihan
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Abstract

This article reviews empirical data demonstrating robust ingroup favoritism in political judgment. Partisans display systematic tendencies to seek out, believe, and remember information that supports their political beliefs and affinities. However, the psychological drivers of partisan favoritism have been vigorously debated, as has its consistency with rational inference. We characterize decades-long debates over whether such tendencies violate normative standards of rationality, focusing on the phenomenon of motivated reasoning. In light of evidence that both motivational and cognitive factors contribute to partisan bias, we advocate for a descriptive approach to partisan bias research. Rather than adjudicating the (ir)rationality of partisan favoritism, future research should prioritize the identification and measurement of its predictors and clarify the cognitive mechanisms underlying motivated political reasoning. Ultimately, we argue that political judgment is best evaluated by a standard of ecological rationality based on its practical implications for individual well-being and functional democratic governance.

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政治判断中的党派偏见。
本文回顾的实证数据表明,在政治判断中存在着强烈的内群体偏好。党派人士在寻找、相信和记忆支持其政治信仰和亲和力的信息时表现出系统性倾向。然而,党派偏爱的心理驱动因素及其与理性推断的一致性一直备受争议。数十年来,人们一直在争论这种倾向是否违反了理性的规范标准,我们通过对动机推理现象的研究,对这一争论进行了归纳。有证据表明,动机和认知因素都会导致党派偏见,有鉴于此,我们主张对党派偏见研究采用描述性方法。未来的研究不应评判党派偏见的(非)合理性,而应优先识别和测量其预测因素,并阐明动机政治推理的认知机制。最终,我们认为,政治判断的最佳评价标准是基于其对个人福祉和功能性民主治理的实际影响的生态理性标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Photonics
ACS Photonics NANOSCIENCE & NANOTECHNOLOGY-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
11.90
自引率
5.70%
发文量
438
审稿时长
2.3 months
期刊介绍: Published as soon as accepted and summarized in monthly issues, ACS Photonics will publish Research Articles, Letters, Perspectives, and Reviews, to encompass the full scope of published research in this field.
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