Strategies for self-controlling social media use: Classification and role in preventing social media addiction symptoms Cover Image

Strategies for self-controlling social media use: Classification and role in preventing social media addiction symptoms
Strategies for self-controlling social media use: Classification and role in preventing social media addiction symptoms

Author(s): Damien Brevers, Ofir Turel
Subject(s): Behaviorism
Published by: Akadémiai Kiadó
Keywords: excessive social media use; addiction symptoms; self-control strategies; trait self-control

Summary/Abstract: Background and aims. Many people present excessive patterns of social networking site (SNS) use and try to self-regulate it. However, little is known regarding the strategies employed by young adult SNS users and their role in preventing the emergence of addiction-like symptoms in relation to SNS use. Methods. In Study 1, we employed a naturalistic-qualitative approach for finding commonly employed self-control strategies in relation to SNS use. In Study 2, we examined differences between the frequency and difficulty of the strategies identified in Study 1 and tested the process through which trait self-control exerts influence on reducing SNS addiction symptomology. Results. Study 1 revealed six families of self-control strategies, some reactive and some proactive. Study 2 pinpointed the most commonly used and most difficult to enact ones. It also showed that the difficulty to enact self-control strategies in relation to SNS use partially mediates the effect of trait self-control via SNS use habit on SNS addiction symptom severity. Conclusions. Taken together, the present findings revealed that strategies for self-controlling SNS use are common and complex. Their theoretical and clinical significance stems from their ability to prevent the translation of poor trait self-control and strong SNS use habit to the emergence of excessive use as manifested in SNS addiction-like symptoms.

  • Issue Year: 8/2019
  • Issue No: 3
  • Page Range: 554-563
  • Page Count: 10
  • Language: English