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Can Social Media Participation Enhance LGBTQ+ Youth Well-Being? Development of the Social Media Benefits Scale
Author(s) -
Shelley L. Craig,
Andrew D. Eaton,
Lauren B. McInroy,
Vivian W. Y. Leung,
Sreedevi Krishnan
Publication year - 2021
Publication title -
social media + society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 32
ISSN - 2056-3051
DOI - 10.1177/2056305121988931
Subject(s) - psychology , lesbian , scale (ratio) , social media , social psychology , transphobia , feeling , exploratory factor analysis , developmental psychology , transgender , political science , psychometrics , geography , cartography , psychoanalysis , law
Social media sites offer critical opportunities for lesbian, gay, bisexual, trans, queer, and other sexual and/or gender minority (LGBTQ+) youth to enhance well-being through exploring their identities, accessing resources, and connecting with peers. Yet extant measures of youth social media use disproportionately focus on the detrimental impacts of online participation, such as overuse and cyberbullying. This study developed a Social Media Benefits Scale (SMBS) through an online survey with a diverse sample ( n = 6,178) of LGBTQ+ youth aged 14–29. Over three-quarters of the sample endorsed non-monosexual and/or and gender fluid identities (e.g., gender non-conforming, non-binary, pansexual, bisexual). Participants specified their five most used social media sites and then indicated whether they derived any of 17 beneficial items (e.g., feeling connected, gaining information) with the potential to enhance well-being from each site. An exploratory factor analysis determined the scale’s factor structure. Analysis of variance (ANOVA) and Sheffe post hoc tests examined age group differences. A four-factor solution emerged that measures participants’ use of social media for: (1) emotional support and development, (2) general educational purposes, (3) entertainment, and (4) acquiring LGBTQ+-specific information. Bartlett’s test of sphericity was significant (χ 2  = 40,828, p < .0005) and the scale had an alpha of .889. There were age group differences for all four factors ( F = 3.79–75.88, p < .05). Younger adolescents were generally more likely to use social media for beneficial factors than older youth. This article discusses the scale’s development, exploratory properties, and implications for research and professional practice.

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