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心理表征在网络虚假信息传播中的作用。

The role of mental representation in sharing misinformation online.

作者信息

Broniatowski David A, Hosseini Pedram, Porter Ethan V, Wood Thomas J

机构信息

Department of Engineering Management and Systems Engineering, George Washington University.

Department of Computer Science, George Washington University.

出版信息

J Exp Psychol Appl. 2024 Dec;30(4):511-538. doi: 10.1037/xap0000517. Epub 2024 Jul 25.

DOI:10.1037/xap0000517
PMID:39052364
Abstract

Fuzzy-trace theory (FTT) posits that people share misinformation online if it promotes gist mental representations, cuing motivationally relevant values. Most people value the truth. Thus, per FTT, people decide to share messages that they perceive as true. FTT also predicts that messages will be more effective if they communicate a simple gist. We test these predictions by examining the roles of mental representation and epistemic quality in decisions to share misinformative articles on Facebook across two experiments and two correlational studies. In Studies 1 and 2, we use Facebook data to test the hypothesis that gist proxies in text are associated with online sharing. In Study 3, we experimentally manipulate subjects' exposure to a gist-based intervention that explains why a misinformative article is false, a simple debunk stating only that the article is false (but not explaining why) and a verbatim condition providing relevant detailed information but allowing subjects to draw their own conclusions. We found that the gist condition decreased intentions to share misinformation. Finally, in Study 4, we replicated this finding and showed that the gist condition also reduces misinformation endorsement. Results provide support for FTT's predictions regarding reducing sharing and endorsement of misinformation on social media. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

摘要

模糊痕迹理论(FTT)认为,如果错误信息能促进主旨心理表征,并引发与动机相关的价值观,人们就会在网上分享这些错误信息。大多数人重视真相。因此,根据模糊痕迹理论,人们会决定分享他们认为是真实的信息。模糊痕迹理论还预测,如果信息传达的是简单的主旨,那么这些信息会更有效。我们通过两项实验和两项相关研究,考察心理表征和认知质量在脸书上分享错误信息文章的决策中的作用,来检验这些预测。在研究1和研究2中,我们使用脸书数据来检验文本中的主旨代理与在线分享相关的假设。在研究3中,我们通过实验操纵受试者接触基于主旨的干预措施,该措施解释了错误信息文章为何是假的;一个简单的辟谣,只表明文章是假的(但不解释原因);以及一个逐字逐句的条件,提供相关详细信息但让受试者自己得出结论。我们发现,主旨条件降低了分享错误信息的意图。最后,在研究4中,我们重复了这一发现,并表明主旨条件也减少了对错误信息的认可。研究结果为模糊痕迹理论关于减少社交媒体上错误信息的分享和认可的预测提供了支持。(PsycInfo数据库记录(c)2025美国心理学会,保留所有权利)

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引用本文的文献

1
Predicting User Engagement in Health Misinformation Correction on Social Media Platforms in Taiwan: Content Analysis and Text Mining Study.预测台湾社交媒体平台上健康错误信息纠正中的用户参与度:内容分析与文本挖掘研究
J Med Internet Res. 2025 Jan 23;27:e65631. doi: 10.2196/65631.