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

Abstract

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IntroductionDrawing 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.MethodsThe data collected from 570 social networking site users in China are analyzed through structural equation modeling (SEM).Results and DiscussionThe 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.

Keywords

• social media
• depression
• information overload
• social overload
• system feature overload
• anxiety