Exploring discontinuous intentions of social media users: a cognition-affect-conation perspective

Drawing on the cognition-affect-conation (C-A-C) framework, this study investigates how perceived information and social and system feature overload induce depression and anxiety, which leads to affect discontinuous intentions of the social media users. The data collected from 570 social networking...

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Bibliographic Details
Published in:Frontiers in psychology 2024, Vol.15, p.1305421-1305421
Main Authors: Qaisar, Sara, Nawaz Kiani, Anum, Jalil, Afsheen
Format: Article
Language:English
Subjects:
anxiety
depression
information overload
social media
social overload
system feature overload
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Summary:Drawing on the cognition-affect-conation (C-A-C) framework, this study investigates how perceived information and social and system feature overload induce depression and anxiety, which leads to affect discontinuous intentions of the social media users. The data collected from 570 social networking site users in China are analyzed through structural equation modeling (SEM). The findings show that perceived information overload, perceived social overload, and perceived system feature overload directly affect depression and anxiety among social networking site users, which directly leads to discontinuous intentions. This study fulfills the identified need for an in-depth investigation of discontinuous behavior in social networking sites. The findings provide social networking site providers with guidelines on how to actively manage social networking site user's behavior to reduce the effects of negative emotions on social networking sites.
ISSN:1664-1078
1664-1078
DOI:10.3389/fpsyg.2024.1305421