Abstract: Digital Safety and Threat As Distinct Dimensions: A Typology of Online Experiences and Mental Health Among LGBTQ+ Youth (Society for Social Work and Research 31st Annual Conference)

Digital Safety and Threat As Distinct Dimensions: A Typology of Online Experiences and Mental Health Among LGBTQ+ Youth

Schedule:
Saturday, January 23, 2027
Golden Gate 4 (Hilton San Francisco Union Square)
* noted as presenting author
Ankur Srivastava, PhD, Assistant Professor, University of North Carolina at Chapel Hill
Adam Bryant Miller, PhD, Associate Professor, University of North Carolina at Chapel Hill
William J. Hall, PhD, Associate Professor, University of North Carolina at Chapel Hill
Rainier Masa, PhD, Associate Professor, University of North Carolina at Chapel Hill
Shelley Craig, PhD, Professor, University of Toronto, Toronto, ON, Canada
Introduction. LGBTQ+ (i.e., lesbian, gay, bisexual, transgender, queer and other non-heterosexual) youth experience persistently elevated rates of negative mental health outcomes compared to cisgender heterosexual peers, disparities often attributed to minority stress, including direct victimization and exposure to stigmatizing messages. Digital environments have become central social contexts in youth development. These spaces can provide affirmation, identity exploration, and community connection, while also exposing youth to harassment, exclusion, and hostile discourse. Prior research has largely conceptualized online experiences along a single continuum from risk to support. This approach obscures the reality that affirming and threatening experiences frequently co-occur.

Methods. Data were drawn from a cross-sectional online survey of self-identified LGBTQ+ adolescents and young adults aged 14–29 in the United States and Canada (N = 3,754). Guided by social safety theory, this study reconceptualizes digital environments as multidimensional configurations of co-occurring safety and threat. We examine (1) how distinct digital environment typologies are distributed among LGBTQ+ youth, (2) which psychosocial and demographic factors predict typology membership, and (3) how these typologies are associated with perceived stress, depressive symptoms, and anxiety. Multinomial logistic regression models estimated predictors of typology membership. Sequential linear regression models examined associations between typology and mental health outcomes, adjusting for offline support, outness, age, gender identity, sexual orientation, race/ethnicity, and nationality.

Results. Digital environments varied substantially across participants. The largest group reported low safety/low threat (36.9%), followed by high safety/low threat (26.6%), low safety/high threat (22.3%), and high safety/high threat (14.2%). Across all mental health outcomes, low digital safety emerged as the primary dimension associated with elevated symptoms. In fully adjusted models, participants in the low safety/low threat group reported higher perceived stress, depressive symptoms, and anxiety compared to the high safety/low threat group. Similarly, participants in the low safety/high threat group reported elevated stress, depression, and anxiety. In contrast, the high safety/high threat group was not significantly associated with stress, depression, or anxiety across models, indicating no elevated symptoms despite exposure to digital threat. Analyses showed that higher family support and peer support were consistently associated with lower likelihood of membership in low-safety typologies. Older youth (ages 19–29) were more likely to report low safety/high threat environments, while greater outness was modestly associated with increased likelihood of low safety/low threat environments. Gender identity, race/ethnicity, and sexual orientation were not significant predictors of typology membership. Across models, offline support was also independently associated with lower stress, depression, and anxiety.

Conclusion. Digital safety and threat function as distinct, co-occurring dimensions of online experience. Low perceived digital safety is consistently associated with poorer mental health, regardless of threat exposure. In contrast, high-safety environments are not associated with elevated symptoms even when threat is present, suggesting a protective role of perceived safety. These findings support a shift from unidimensional risk models toward multidimensional frameworks and highlight the importance of strengthening affirming digital environments alongside reducing exposure to harm. Longitudinal and ecological momentary designs are needed to examine how fluctuations in digital safety/ threat shape LGBTQ+ youth mental health over time.