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"When Too Many Become Too Much": Social Crowding and Its Consequences for Social Exclusion.

  • Published In: Journal of Community & Applied Social Psychology, 2025, v. 35, n. 2. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Zhang, Junnan; Wang, Yixiang; Wang, Wuyu; Feng, Guo 3 of 3

Abstract

Given the dearth of research on the psychological mechanisms underlying social exclusion behaviour in crowded environments, the present study delves into the psychological implications of social crowding, examining its consequential effects on social exclusion behaviour. Utilising a stigmatisation induction Cyberball paradigm, two experiments were conducted to explore how social crowding affects exclusionary actions and the moderating role of group type. Experiment 1 revealed that social crowding significantly increases both the frequency of exclusions and the subjective sense of exclusion, with perceived control and negative emotions mediating this relationship in a sequential chain. Experiment 2 extended these findings by demonstrating that the crowding‐induced increase in social exclusion behaviour is moderated by the type of group; specifically, the effect was pronounced when the crowd consisted of strangers but not when composed of acquaintances. These results provide a clearer understanding of how environmental factors can influence social dynamics, suggesting potential interventions to reduce social exclusion in crowded environments. Please refer to the Supporting Information section to find this article's community and social impact statement. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Community & Applied Social Psychology. 2025/03, Vol. 35, Issue 2, p1
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2025
  • ISSN:1052-9284
  • DOI:10.1002/casp.70065
  • Accession Number:184045293
  • Copyright Statement:Copyright of Journal of Community & Applied Social Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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