Taking stock of social media privacy: meta-analytic evidence on how control, trust, and concerns are associated with social media use, disclosure, and protection
Abstract Social media users face uncertainty regarding the flow and use of their data. They engage in a variety of privacy behaviors, such as limiting how much social media they use, controlling what they disclose, and protecting their privacy, while considering their options—for example, deciding whether they can trust certain providers, whether they feel that they have control over their privacy settings, or how much concern they should feel. This study provides a meta-analysis of relationships between key factors that are relevant for users’ privacy decisions (e.g., control, trust, concerns) and their subsequent behaviors (e.g., social networking site use, disclosure, privacy protection). We drew on the findings of 79 studies that were conducted between 2016 and 2025 with N = 51,085 respondents. Our results demonstrate that users who trust are most likely to use social networking sites and to disclose information online. By contrast, feeling that one has control and being concerned about privacy drives users to engage in targeted privacy behaviors. We derive information for literacy training and policymaking and highlight why it is time to overcome the limited conceptual bandwidth and the disproportionate focus on negatively framed concepts of privacy.
- Preprint Article
- 10.31234/osf.io/th2ku_v1
- Jun 3, 2025
Social media users face uncertainty regarding the flow and use of their data. They engage in a variety of privacy behaviors, such as how much social media they use, their disclosures, or privacy protection, while considering their options—for example, whether they can trust certain providers, whether they feel in control over privacy settings, or how strongly they should feel concerned. This study provides a meta-analysis of relationships between the key mechanisms for users’ privacy decisions (i.e., control, trust, concerns) and their subsequent behaviors (i.e., social media use, disclosure, privacy protection). We draw on the findings of 79 studies that have been conducted between 2016 and 2025 with N = 51,086 respondents. Our results demonstrate that users who trust are most likely to use social networking sites and disclose about themselves online. In contrast, feeling in control and being concerned about privacy drives users to engage in targeted privacy behaviors.
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33
- 10.1016/j.chbr.2021.100058
- Jan 1, 2021
- Computers in Human Behavior Reports
The impact of social networking sites use on health-related outcomes among UK adolescents
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161
- 10.1016/j.chb.2021.107086
- Oct 28, 2021
- Computers in Human Behavior
A network analysis approach to the relationship between fear of missing out (FoMO), smartphone addiction, and social networking site use among a sample of Chinese university students
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1
- 10.1016/s0014-3855(01)90048-9
- Apr 1, 2001
- L'Evolution psychiatrique
Lacan aurait cent ans
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26
- 10.1016/j.encep.2021.08.006
- Nov 18, 2021
- L'Encéphale
Lien entre usage des réseaux sociaux et image corporelle chez les adolescents : une revue systématique de la littérature
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2
- 10.1016/j.encep.2021.08.016
- Dec 3, 2021
- L'Encéphale
La mesure de l’usage des réseaux sociaux chez les adolescents: une revue systématique de la littérature
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118
- 10.1556/2006.8.2019.49
- Sep 23, 2019
- Journal of Behavioral Addictions
Background and aimsMany 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.MethodsIn 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.ResultsStudy 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.ConclusionsTaken 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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42
- 10.1111/nuf.12308
- Dec 3, 2018
- Nursing Forum
Sleep deprivation can cause serious physical and mental problems. Although sleep deprivation among adolescents is not a new phenomenon, this problem has recently gained more attention due to the frequent use of smartphones. This study aimed to explain the correlations among family support, academic stress, social network site (SNS) use, and insomnia in adolescents. This cross-sectional study included 180 adolescents aged 16 to 17 years, with simple random sampling. This study used a questionnaire that included the frequency and duration of social media use, reasons for using social media, family support, academic stress, and insomnia. Data were analyzed using multiple logistic regression with a degree of significance at P < 0.05. This study showed that insomnia was associated with duration of SNS use (P = 0.011), reasons of SNS usage ( P = 0.004), and academic stress ( P = 0.013). The frequency of SNS use ( P = 0.645), types of SNS ( P = 0.965), and family support ( P = 0.150) were not associated with insomnia in adolescents. The reasons of SNS usage, duration of SNS usage, and academic stress are major factors associated with insomnia in adolescents. These components should be embedded in multicomponent educational intervention addressed to both adolescents and parents to reduce insomnia.
- Front Matter
54
- 10.1016/j.ophtha.2019.02.015
- May 20, 2019
- Ophthalmology
Navigating Social Media in #Ophthalmology
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40
- 10.3390/soc5020420
- May 4, 2015
- Societies
Social media, especially social network sites (SNS) such as Facebook have grown rapidly in popularity in the last ten years. [...]
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8
- 10.2139/ssrn.1300694
- Nov 14, 2008
- SSRN Electronic Journal
Searching for Media Complementarity: Use of Social Network Sites and Other Online Media for Campaign Information Among Young Adults
- Research Article
- 10.5812/ijpbs-159464
- Jul 20, 2025
- Iranian Journal of Psychiatry and Behavioral Sciences
Background: Health systems are addressing adolescents' excessive use of social network sites (SNS) due to growing evidence linking SNS addiction to mental health problems. Objectives: This study aimed to develop, validate, and preliminarily evaluate the effectiveness of an intervention package designed to help adolescents manage their SNS use, focusing on use, attitudes, media literacy, and addiction. Methods: The intervention package was developed under the supervision of eight specialists in psychiatry and psychology. Its validity was assessed using the Content Validity Index (CVI). Experts confirmed the validity of the SNS management package, which was implemented over eight 90-minute sessions. To assess the preliminary effectiveness of the developed package, a quasi-experimental design featuring pre-test/post-test comparisons with control groups was utilized. The target population consisted of middle school students in Tehran, and the study was conducted in 2024. Fifty adolescents with SNS addiction were purposively sampled and randomly assigned to intervention (n = 25) and control groups (n = 25), with 39 completing the study. Data were collected using the Social Media Addiction Scale, the attitude toward social networking sites questionnaire, and the Media Literacy Questionnaire. Data analysis utilized independent sample t-tests and one-way ANCOVA, with a significance level set at 0.05. Results: Experts found the package valid regarding relevance, effectiveness, and appropriateness, with scores ranging from 0.750 to 1.000. The results indicated that the training package for managing SNS use effectively impacts daily SNS use in the past week (F = 7.25; P = 0.011), attitudes toward SNS (F = 8.48; P = 0.006), and media literacy (F = 56.09; P = 0.001). However, it did not reduce SNS addiction (F = 0.55; P = 0.464). Conclusions: The study found that while the educational package did not reduce SNS addiction, it successfully decreased daily SNS use, improved attitudes toward SNS, and enhanced media literacy. These preliminary findings suggest the intervention's potential utility in the primary prevention of problematic social media use.
- Research Article
39
- 10.1080/13803395.2020.1798358
- Jul 2, 2020
- Journal of Clinical and Experimental Neuropsychology
Background Research on problematic internet use has greatly increased over the last decade. Although there were many studies related to problematic social networking sites (SNS) use, there is limited empirical research yet focused on exploring the relationship between problematic SNS use and Executive Functions (EF). Aim This study set out to determine whether problematic SNS use is associated with cognitive flexibility and inhibitory control aspects of EF. Method A total of 284 individuals participated in the study. A sociodemographic data form, Bergen Social Media Addiction Scale (BSMAS), and Wisconsin Card Sorting Test (WCST) were administered. Results Group comparisons revealed no difference in WCST performance between problematic and non-problematic SNS use groups. Categories achieved (WCST-CA) and perseverative errors (WCST-PE) subtests were correlated with “relapse” subtest and “total score” of BSMAS in problematic SNS use group. Regression analysis revealed that WCST-CA and WCST-PE were associated with “relapse” subtest of BSMAS in problematic SNS use group. Conclusion Our findings yielded a possible association between EF and problematic SNS use. Enhancing cognitive flexibility and inhibitory control may be beneficial in mitigating problems related to relapse in excessive SNS use.
- Research Article
- 10.63050/jpps.22.1.81
- Mar 27, 2025
- Journal of Pakistan Psychiatric Society
OBJECTIVETo assess if there is any association between symptoms of depression and social media use among medical students in Pakistan. STUDY DESIGNAnalytical cross-sectional quantitative research PLACE AND DURATION OF STUDYThe study was conducted at HITEC Institute of Medical Sciences, Taxilla, Pakistan over a period of about one year, from August 2019 to August 2020. METHODThe study participants were medical students. The total sample size was 410. Random sampling was used. Data was collected by using a structured questionnaire. Depressive symptoms were assessed using the MDI (Major Depressive Inventory scale). Time spend on social networking sites was measured using a modified SONTUS scale (Social Network Time Use Scale). The data was analysed with SPSS v21.0 software. RESULTSThe study found out that there was a significant association between Social Networking Site (SNS) use and depression. A total of 267 (65 %) students reported some form of depression. For SNS use, 163 (40%) were high users and 19 (4.6%) were extremely high users. CONCLUSIONThis research suggests an important relationship between social media usage and depressive symptoms. A high number of students were found to be severely depressed. This reveals a neglected area of mental health and needs to be addressed. Also, almost half of the respondents were high users of social networking sites, while most others were average users. This might indicate that excessive use of SNS might either be a contributing factor or a perpetuating factor for depression in medical students.
- Research Article
39
- 10.1016/j.psychres.2020.113323
- Jul 24, 2020
- Psychiatry Research
The connection and background mechanisms of social fears and problematic social networking site use: A structural equation modeling analysis