Suppr超能文献

非对称道德:责备比赞扬更具分化性,也更极端。

Asymmetric morality: Blame is more differentiated and more extreme than praise.

机构信息

Department of Psychology, Macalester College, St. Paul, MN, United States of America.

Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI, United States of America.

出版信息

PLoS One. 2019 Mar 12;14(3):e0213544. doi: 10.1371/journal.pone.0213544. eCollection 2019.

Abstract

Despite extensive recent investigations of moral judgments, little is known about how negative judgments like blame might differ from positive judgments like praise. Drawing on theory from both social and moral cognition, the present studies identify and test potential asymmetries in the extremity and differentiatedness of blame as compared to praise. The amplified blame hypothesis predicts that people will assign greater blame for negative behaviors than praise for positive behaviors. The differentiated blame hypothesis predicts that, as compared to praise judgments, blame judgments will more finely differentiate among distinct mental states that precede action, such as thoughts, desires, and intentions. A series of studies-using varied stimulus sets and samples-together provide robust support for the differentiated blame hypothesis and somewhat weaker support for the amplified blame hypotheses. These results illustrate systematic asymmetries between blame and praise, generally revealing that blame is more extreme and differentiated than praise. Together, the findings reflect the social costs and social regulatory function of moral judgments, suggesting that blame and praise are not mirror images and that blame might be more complex.

摘要

尽管最近对道德判断进行了广泛的研究,但对于负面判断(如责备)与正面判断(如表扬)之间的差异,我们知之甚少。本研究借鉴了社会认知和道德认知的理论,确定并测试了责备与表扬相比,在极端程度和区分度上可能存在的差异。放大的责备假设预测,人们对负面行为的责备程度将大于对正面行为的表扬程度。有区别的责备假设预测,与表扬判断相比,责备判断将更精细地区分行动之前的不同心理状态,如思想、欲望和意图。一系列使用不同刺激集和样本的研究共同为有区别的责备假设提供了强有力的支持,而对放大的责备假设的支持则稍弱。这些结果说明了责备和表扬之间存在系统的不对称性,通常表明责备比表扬更极端、更具区分度。总的来说,这些发现反映了道德判断的社会成本和社会调节功能,表明责备和表扬并非镜像,责备可能更为复杂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/219c/6413939/25e24771e0d2/pone.0213544.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验