Influence of Social Crowding on Rumor Refutation: The Mediating Effect of Impression Management and Social Connectedness

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Authors: Z X Sun, Mengchan Yuan, 轩浩 林, Wan Ni, Li Zhang
Cited by: 1
References: 59

Abstract

Internet rumor refutation represents a critical issue in the current governance of the Internet information environment. Different from the mainstream research that focuses on refutation subjects, methods, and information presentation formats, this study adopts a psychological perspective at the individual level to examine how a typical environmental factor-social crowding (the subjective psychological experience arising when spatial demand exceeds supply due to high population density per unit area) affects individuals' willingness to refute rumors, as well as the mediating mechanisms and boundary conditions of this effect. The findings provide implications for motivating individual participation in Internet rumor refutation. Considering rumor refutation as a prosocial behavior, this study integrates the moral judgment framework and focuses on the positive side of greater self-other overlap induced by social crowding. Through one questionnaire survey and two experimental studies, most of the hypotheses are supported. The results indicate that social crowding positively influences willingness to refute rumors, with impression management and social connectedness serving as parallel mediators in this relationship. Additionally, interdependent self-construal positively moderates the relationship between social crowding and social connectedness, whereas the moderating role of independent self-construal was not supported. This study expands online rumor-refutation research from the perspective of environmental antecedents, proposes an altruistic-egoistic dual-pathway model, and provides practical implications for governments and social media platforms in rumor governance.

Fields of Study & Subjects

Misinformation and Its Impacts Public Relations and Crisis Communication Media Influence and Health

Publication details

Journal / source
Behavioral Sciences
Publisher
MDPI AG
Volume
16
Issue
5
Pages
803–803
Publication date
18 May 2026
Language
EN