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

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          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.

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          Most cited references32

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          High self-control predicts good adjustment, less pathology, better grades, and interpersonal success.

          What good is self-control? We incorporated a new measure of individual differences in self-control into two large investigations of a broad spectrum of behaviors. The new scale showed good internal consistency and retest reliability. Higher scores on self-control correlated with a higher grade point average, better adjustment (fewer reports of psychopathology, higher self-esteem), less binge eating and alcohol abuse, better relationships and interpersonal skills, secure attachment, and more optimal emotional responses. Tests for curvilinearity failed to indicate any drawbacks of so-called overcontrol, and the positive effects remained after controlling for social desirability. Low self-control is thus a significant risk factor for a broad range of personal and interpersonal problems.
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            Development of a Facebook Addiction Scale.

            The Bergen Facebook Addiction Scale (BFAS), initially a pool of 18 items, three reflecting each of the six core elements of addiction (salience, mood modification, tolerance, withdrawal, conflict, and relapse), was constructed and administered to 423 students together with several other standardized self-report scales (Addictive Tendencies Scale, Online Sociability Scale, Facebook Attitude Scale, NEO-FFI, BIS/BAS scales, and Sleep questions). That item within each of the six addiction elements with the highest corrected item-total correlation was retained in the final scale. The factor structure of the scale was good (RMSEA = .046, CFI = .99) and coefficient alpha was .83. The 3-week test-retest reliability coefficient was .82. The scores converged with scores for other scales of Facebook activity. Also, they were positively related to Neuroticism and Extraversion, and negatively related to Conscientiousness. High scores on the new scale were associated with delayed bedtimes and rising times.
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              Decision making and the avoidance of cognitive demand.

              Behavioral and economic theories have long maintained that actions are chosen so as to minimize demands for exertion or work, a principle sometimes referred to as the law of less work. The data supporting this idea pertain almost entirely to demands for physical effort. However, the same minimization principle has often been assumed also to apply to cognitive demand. The authors set out to evaluate the validity of this assumption. In 6 behavioral experiments, participants chose freely between courses of action associated with different levels of demand for controlled information processing. Together, the results of these experiments revealed a bias in favor of the less demanding course of action. The bias was obtained across a range of choice settings and demand manipulations and was not wholly attributable to strategic avoidance of errors, minimization of time on task, or maximization of the rate of goal achievement. It is remarkable that the effect also did not depend on awareness of the demand manipulation. Consistent with a motivational account, avoidance of demand displayed sensitivity to task incentives and covaried with individual differences in the efficacy of executive control. The findings reported, together with convergent neuroscientific evidence, lend support to the idea that anticipated cognitive demand plays a significant role in behavioral decision making.
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                Author and article information

                Journal
                J Behav Addict
                J Behav Addict
                jba
                JBA
                Journal of Behavioral Addictions
                Akadémiai Kiadó (Budapest )
                2062-5871
                2063-5303
                23 September 2019
                September 2019
                : 8
                : 3
                : 554-563
                Affiliations
                [1 ]Addictive and Compulsive Behaviours Lab (ACB-Lab), Institute for Health and Behaviour – Unit INSIDE, University of Luxembourg , Luxembourg, Luxembourg
                [2 ]College of Business and Economics, California State University , Fullerton, CA, USA
                [3 ]Department of Psychology, and Brain and Creativity Institute, University of Southern California , Los Angeles, CA, USA
                Author notes
                [* ]Corresponding author: Damien Brevers, PhD; Research Associate, FNR; Addictive and Compulsive Behaviour Lab (ACB-Lab), Institute for Health and Behaviour – Unit INSIDE, University of Luxembourg – Campus Belval. Maison des Sciences Humaines 11, Porte des Sciences, L-4366 Esch-sur-Alzette, Luxembourg; Phone: +352 46 66 44 9780; Fax: +352 46 66 44 39780; E-mail: damien.brevers@ 123456uni.lu
                Article
                10.1556/2006.8.2019.49
                7044631
                31545100
                4ff4625b-aef8-4b5f-8fea-6f120b3e9215
                © 2019 The Author(s)

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited, a link to the CC License is provided, and changes – if any – are indicated.

                History
                : 08 April 2019
                : 30 July 2019
                : 31 July 2019
                : 16 August 2019
                Page count
                Figures: 3, Tables: 2, Equations: 0, References: 34, Pages: 10
                Funding
                Funding sources: This work was supported by the Belgian National Funds for Scientific Research (FNRS; Chargé de Recherche Grant) and the National Funds for Scientific Research (FNR; CORE Junior Track – BETHAB).
                Categories
                Full-Length Report

                excessive social media use,addiction symptoms,self-control strategies,trait self-control

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