Suppr超能文献

情绪可能会预测对假新闻的易感性,但情绪调节似乎并没有帮助。

Emotion may predict susceptibility to fake news but emotion regulation does not seem to help.

机构信息

Institute for Advanced Study in Toulouse, University of Toulouse 1 - Capitole, Toulouse, France.

Development Innovation Lab, University of Chicago, Chicago, IL, USA.

出版信息

Cogn Emot. 2022 Sep;36(6):1166-1180. doi: 10.1080/02699931.2022.2090318. Epub 2022 Jun 24.

Abstract

Misinformation is a serious concern for societies across the globe. To design effective interventions to combat the belief in and spread of misinformation, we must understand which psychological processes influence susceptibility to misinformation. This paper tests the widely assumed - but largely untested - claim that emotionally provocative headlines are associated with worse ability to identify true versus false headlines. Consistent with this proposal, we found correlational evidence that overall emotional response at the headline level is associated with diminished truth discernment, except for experienced anger which was associated with increased truth discernment. The second set of studies tested a popular emotion regulation intervention where people were asked to apply either emotional suppression or emotion reappraisal techniques when considering the veracity of several headlines. In contrast to the correlation results, we found no evidence that emotion regulation helped people distinguish false from true news headlines.

摘要

错误信息是全球社会面临的一个严重问题。为了设计有效的干预措施来打击对错误信息的信任和传播,我们必须了解哪些心理过程会影响对错误信息的易感性。本文检验了一个广泛假设但尚未得到充分验证的观点,即情感上引人注目的标题与更差的识别真实与虚假标题的能力有关。与这一观点一致,我们发现了相关证据,即标题层面的整体情绪反应与辨别真伪的能力下降有关,但经历过的愤怒与辨别真伪的能力增强有关。第二组研究测试了一种流行的情绪调节干预措施,即当人们考虑几个标题的真实性时,要求他们使用情绪抑制或情绪再评估技术。与相关结果相反,我们没有发现情绪调节有助于人们区分虚假和真实新闻标题的证据。

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