Related Experiment Video
Updated: Aug 16, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
A Reasoned Action Approach to Limiting Excessive Social Media Usage Among Adults
Daniel E Hartman1, Brian L Quick1,2
1Department of Communication, University of Illinois at Urbana-Champaign.
Abstract:
The literature on social media suggests a link between use and negative mental health consequences. Numerous theoretical perspectives have attempted to explain the underlying mechanisms for this relationship but are lacking a clear explanation for why some individuals may be negatively impacted by their social media use. Despite a plethora of research on this relationship, minimal research has examined the act of limiting social media use as a promotional behavior. This study takes a fresh approach by investigating attitudinal components that predict intentions to limit social media use via the reasoned action approach. US adults (N = 298) participated in an online survey on excessive social media use. Attitudes, perceived norms, and perceived behavioral control were significant predictors of intentions to limit social media use. In addition, perceived behavioral control was hypothesized to moderate both the attitude to intention and norm to intention relationships in that these associations would be stronger for those with higher control beliefs. Results showed that strong control beliefs strengthened the attitudes to intentions relationship but weakened the norm to intention relationship. Future practical and research directions are discussed to promote limiting social media use and further investigate the negative mental health outcomes of excessive social media.
Related Concept Videos
Self-Discrepancy Theory
Social Proof
Self-Presentation: Self-Monitoring and Self-Handicapping
Bullying
Rational Emotive Behavior Therapy
Coping Strategies: Problem Focused
For example, consider a student who struggles to understand their...

