A critical consideration of social networking sites’ addiction potential

Carbonell, Xavier; Panova, Tayana

doi:10.1080/16066359.2016.1197915

Cited by 127 publications

(106 citation statements)

References 84 publications

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“…It is a state of maladaptive dependency on the SNS that manifests in compulsively seeking and engaging in SNS use to such an extent that typical behavioral addiction symptoms emerge (e.g., withdrawal, salience, tolerance, mood modification, conflict, and repeated relapses) (Turel, He, Xue, Xiao, & Bechara, 2014). While there is still an ongoing debate whether such problems can or should be classified as a formal disorder of addiction (Carbonell & Panova, 2017), it is clear that regardless of their classification and the terminology used, such maladaptive dependencies can adversely affect various facets of people's lives, including social functioning, wellbeing, academic, and professional performance, as well as mental health (He, Turel, Brevers, & Bechara, 2017a;Turel, Poppa, & Gil-Or, 2018;Serenko & Turel, 2015;Turel & Qahri-Saremi, 2016). Such addictions also can serve as a gateway for physically dangerous practices, such as using SNS while driving (Turel & Bechara, 2016a).…”

mentioning

confidence: 99%

Delay discounting mediates the association between posterior insular cortex volume and social media addiction symptoms

Turel

Brevers

et al. 2018

Cogn Affect Behav Neurosci

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Addiction-like symptoms in relation to excessive and compulsive social media use are common in the general population. Because they can lead to various adverse effects, there is a growing need to understand the brain systems and processes that are involved in potential social media addiction. We focus on the morphology of the posterior subdivision of the insular cortex (i.e., the insula), because it has been shown to be instrumental to supporting the maintenance of substance addictions and problematic behaviors. Assuming that social media addiction shares neural similarities with more established ones and consistent with evidence from the neuroeconomics domain, we further examine one possible reason for this association-namely that insular morphology influences one's delay discounting and that this delay discounting contributes to exaggerated preference for immediate social media rewards and consequent addiction-like symptoms. Based on voxel-based morphometry techniques applied to MRI scans of 32 social media users, we show that the gray matter volumes of the bilateral posterior insula are negatively associated with social media addiction symptoms. We further show that this association is mediated by delay discounting. This provides initial evidence that insular morphology can be associated with potential social media addiction, in part, through its contribution to poor foresight and impulsivity as captured by delay discounting.

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confidence: 99%

Delay discounting mediates the association between posterior insular cortex volume and social media addiction symptoms

Turel

Brevers

et al. 2018

Cogn Affect Behav Neurosci

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“…Due to its popularity and because it is a relatively new device, the smartphone has raised concerns about its potential to be addictive [9][10][11][12] . This concern is in line with the development of concern about other possible behavioral addictions such as to the Internet or social media 13 .…”

Section: Introductionmentioning

confidence: 80%

“…The other correlations, in line with other studies, are low or nonexistent 35 . In fact, social network use is considered, along with video games, to be the use with the highest risk of becoming problematic 41,42 even though there is a lack of empirical confirmation 13 . This low correlation with the different Internet uses can be explained because we are talking about a population that, as a whole, bets little and consumes little pornography, which leads us to think that we would obtain higher correlations if the CERI and the CERM were applied to cohorts of people extracted from the general population, who would be more likely to bet online, consume pornography and/or be intensive videogamers.…”

Section: Discussionmentioning

confidence: 99%

Problematic Use of the Internet and Smartphones in University Students: 2006–2017

Carbonell¹,

Chamarro²,

Oberst³

et al. 2018

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1) Background: It has been more than a decade since the concern about addictive use of the Internet and mobile phones was first expressed and its possible inclusion into the lists of mental disorders has been a popular topic of discussion recently, thus it seems to be a fitting moment to investigate the networks are considered responsible for this increase, and females are the ones perceived to be more affected than males. The degree to which participants agree with the statement "I am addicted to the Internet" can be used as a screening item for problematic use.

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“…The relation between SMU and academic success was related to not being able to spare sufficient time for academic studies based on social media environments' multitask structure (Yildiz‐Durak, 2018a). In addition, in the study by Carbonell and Panova (2017), due to the concerns about the addictive behaviors toward social media environments, the relation between academic success and SMU was reported to be in a negative direction. In the current study, the relation between variables of SMU and academic success could not be found in general.…”

Section: Discussionmentioning

confidence: 98%

Antecedents of Social Media Usage Status: Examination of Predictiveness of Digital Literacy, Academic Performance, and Fear of Missing Out Variables

Durak

Seferoğlu

2020

Social Science Quarterly

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Objective. The aim of this study is to examine predictiveness of digital literacy, academic performance, and fear of missing out (FoMO) variables on social media usage (SMU) status. Methods. This relational study was conducted with participation of 1,284 students. For collection of the data a self-description form and also four other different data collection instruments were utilized. Data were analyzed through descriptive statistics and linear multiple hierarchical regressions analysis. Results. At the end of the study, demographic variables were observed to be the most important predictor of SMU experiences. The consequence was reached that digital literacy was the most important variable, which predicted SMU frequencies and use of social media environments with purposes of social interaction, communication, and education. Additionally, FoMO is important in terms of explaining the number of friends/followers in social media environments, and students' use and usage attitudes of social media environments for the purposes of knowing and being known. Conclusion. In this study, the relationship among the age variable and SMU frequencies and use of social media environments for the purpose of knowing and to be known and for the purpose of education came out to be in a negative direction. In line with these consequences, some practical suggestions can be made on SMU patterns.

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A critical consideration of social networking sites’ addiction potential

Cited by 127 publications

References 84 publications

Delay discounting mediates the association between posterior insular cortex volume and social media addiction symptoms

Delay discounting mediates the association between posterior insular cortex volume and social media addiction symptoms

Problematic Use of the Internet and Smartphones in University Students: 2006–2017

Antecedents of Social Media Usage Status: Examination of Predictiveness of Digital Literacy, Academic Performance, and Fear of Missing Out Variables

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A critical consideration of social networking sites’ addiction potential

Cited by 127 publications

References 84 publications

Delay discounting mediates the association between posterior insular cortex volume and social media addiction symptoms

Delay discounting mediates the association between posterior insular cortex volume and social media addiction symptoms

Problematic Use of the Internet and Smartphones in University Students: 2006&ndash;2017

Antecedents of Social Media Usage Status: Examination of Predictiveness of Digital Literacy, Academic Performance, and Fear of Missing Out Variables

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Problematic Use of the Internet and Smartphones in University Students: 2006–2017