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      The Design of Social Media Platforms—Initial Evidence on Relations Between Personality, Fear of Missing Out, Design Element-Driven Increased Social Media Use, and Problematic Social Media Use

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          Abstract

          While relations between certain personality traits and problematic social media use (PSMU) are well-acknowledged, mechanisms underlying these associations are mostly unclear. One putatively mediating variable in these relations is fear of missing out (FoMO). Moreover, certain design elements of social media platforms are suspected to lure users into spending increasing time on the platforms and into PSMU, accordingly. Thus far, however, (independent) empirical research on whether there are individual differences driving tendencies toward design element-driven increased social media use is barely existent. Furthermore, there is a lack of empirical research on whether these tendencies are related to PSMU. The present work was conducted to close these gaps. College students from the United States ( N = 446) completed scales on the Big Five personality traits, impulsivity, FoMO, and PSMU and indicated how often they spend more time on social media than intended due to design elements of social media platforms in an online survey. Results showed that individuals tend to use social media more frequently and time-intensively due to certain design elements. Such increased use was strongly positively related to PSMU. A cross-sectional path model revealed among others indirect positive associations of neuroticism and impulsivity with PSMU mediated via FoMO and design element-driven increased social media use. These results indicate that design elements of social media platforms could contribute to PSMU. Thus, a healthier design of such platforms must be discussed. Moreover, therapeutic interventions to reduce PSMU might profit from psychoeducation on strategies to prevent design element-driven increased social media use.

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          Most cited references78

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              A power primer.

              One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large effects. The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation.
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                Author and article information

                Journal
                Technology, Mind, and Behavior
                American Psychological Association
                2689-0208
                November 7, 2022
                : 3
                : 4
                Affiliations
                [1]Department of Molecular Psychology, Institute of Psychology and Education, Ulm University
                [2]Department of Psychology, University of Toledo
                [3]Department of Psychiatry, University of Toledo
                Author notes
                Special Collection Editors: Nick Bowman, Douglas A. Gentile, C. Shawn Green, and Tracy Markle
                Action Editor: C. Shawn Green was the action editor for this article.
                Acknowledgements: The authors thank Jennifer Wernicke for feedback on the formulation of some items of the Design Element- Driven Increased Social Media Use (DED-ISMU) scale developed by Cornelia Sindermann.
                Funding: Cornelia Sindermann was funded by the German Academic Exchange Service (Deutscher Akademischer Austauschdienst) to work at the University of Toledo for 5 months and conduct the present research project. Christian Montag and Jon D. Elhai supported Cornelia Sindermann in applying for this scholarship. The funding source had no role other than financial support.
                Disclosures: The authors declare no conflict of interest. For reasons of transparency, Christian Montag mentions that he has received (to Ulm University and earlier University of Bonn) grants from agencies such as the German Research Foundation. Christian Montag has performed grant reviews for several agencies; has edited journal sections and articles; has given academic lectures in clinical or scientific venues or companies; and has generated books or book chapters for publishers of mental health texts. For some of these activities, he received royalties, but never from gaming or social media companies. Christian Montag mentions that he was part of a discussion circle (Digitalität und Verantwortung: https://about.fb.com/de/news/h/gespraechskreis-digitalitaet-und-verantwortung/) debating ethical questions linked to social media, digitalization, and society/democracy at Facebook. In this context, he received no salary for his activities. Also, he mentions that he currently functions as independent scientist on the scientific advisory board of the Nymphenburg group (Munich, Germany). This activity is financially compensated. Moreover, he is on the scientific advisory board of Applied Cognition (Redford, CA, United States), an activity which is also compensated. Jon D. Elhai notes that he receives royalties for several books published on posttraumatic stress disorder (PTSD); is a paid, full-time faculty member at University of Toledo; occasionally serves as a paid, expert witness on PTSD legal cases; and receives grant research funding from the U.S. National Institutes of Health.
                Authors Contributions: Cornelia Sindermann contributed in conceptualization, methodology, software, validation, formal analysis, investigation, data curation, writing of original draft, visualization, supervision, project administration, funding acquisition. Christian Montag contributed in conceptualization, writing of review and editing, funding acquisition. Jon D. Elhai contributed in conceptualization, investigation, writing of review and editing, funding acquisition.
                Data Availability: The data and statistical analysis code (R code) are available on the Open Science Framework project website: data ( https://osf.io/x9746/; Sindermann, Montag, & Elhai, 2021) and code ( https://osf.io/rf7zc/). Wording of the Design Element- Driven Increased Social Media Use (DED-ISMU) scale items is provided in the Supplemental Material. Wording of other scales is provided in the cited references. The data have not been used for another publication. Participants of the online survey filled in additional questionnaires to examine another, independent research question in the future (see other preregistration to the research project: https://osf.io/ufd62).
                Open Science Disclosures:

                The data are available at https://osf.io/x9746/.

                The experimental materials are available at https://osf.io/rf7zc/.

                The preregistered design and analysis plan (transparent changes notation) are accessible at https://osf.io/3m8ab.

                [*] Cornelia Sindermann, Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Helmholtzstraße 8/1, 89081 Ulm, Germany cornelia.sindermann@uni-ulm.de
                Author information
                https://orcid.org/0000-0003-1064-8866
                https://orcid.org/0000-0001-8112-0837
                https://orcid.org/0000-0001-5205-9010
                Article
                2023-14757-001
                10.1037/tmb0000096
                306b6d45-88c9-4c23-bdc4-c9b03647637a
                © 2022 The Author(s)

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND). This license permits copying and redistributing the work in any medium or format for noncommercial use provided the original authors and source are credited and a link to the license is included in attribution. No derivative works are permitted under this license.

                History
                Categories
                Behavioral Addiction to Technology

                Education,Psychology,Vocational technology,Engineering,Clinical Psychology & Psychiatry
                fear of missing out,design element-driven increased social media use,problematic social media use,personality

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