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The dark side of sexting – Factors predicting the dissemination of sexts.

Authors :
Clancy, Elizabeth M.
Klettke, Bianca
Hallford, David J.
Source :
Computers in Human Behavior. Mar2019, Vol. 92, p266-272. 7p.
Publication Year :
2019

Abstract

Abstract Sexting (i.e. the sending and receiving of sexually explicit images via apps or phones) is increasingly common among young adults. However, specific concerns relate to the potential social and legal implications of non-consensual sext dissemination. Whilst previous research has investigated the prevalence of non-consensual dissemination, motivations for engaging in non-consensual dissemination are not well understood. In a large convenience sample of young Australian adults (N = 505, M age = 21, SD = 5, 67% female), we tested the hypothesis that sext dissemination is associated with positive subjective norms and personal attitudes towards sext dissemination, and dark triad personality traits of Machiavellianism, psychopathy and narcissism. We found four unique predictors of increased likelihood of non-consensual dissemination: being sexually active, having received a disseminated sext, more strongly normalising that sexts are usually disseminated or seen by others, and stronger positive attitudes towards disseminating sexts as being funny; and one unique predictor of decreased likelihood: having personally-experienced negative consequences from sending sexts. No independent relationship with dark triad traits was found, although these predictors may be proxies for dark triad-related dissemination motivations. These findings suggest possible explanatory mechanisms for non-consensual dissemination and directions for future research including image context and dissemination circumstances. Highlights • We found five predictors of non-consensual sext dissemination. • Positive predictors include sexual activity and receiving disseminated sexts. • Positive subjective norms and attitudes are also sext dissemination predictors. • Personal consequences from sending sexts was the only negative predictor. • No independent relationship found with dark triad traits. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07475632
Volume :
92
Database :
Academic Search Index
Journal :
Computers in Human Behavior
Publication Type :
Academic Journal
Accession number :
134185614
Full Text :
https://doi.org/10.1016/j.chb.2018.11.023