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      Threaten me softly: A review of potential dating app risks

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      Computers in Human Behavior Reports
      Elsevier BV

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          Technology-Facilitated Sexual Violence

          Technology-facilitated sexual violence (TFSV) refers to a range of behaviors where digital technologies are used to facilitate both virtual and face-to-face sexually based harms. Such behaviors include online sexual harassment, gender- and sexuality-based harassment, cyberstalking, image-based sexual exploitation, and the use of a carriage service to coerce a victim into an unwanted sexual act. This article reviews the current state of knowledge on these different dimensions, drawing on existing empirical studies. While there is a growing body of research into technology-facilitated harms perpetrated against children and adolescents, there is a dearth of qualitative and quantitative research on TFSV against adults. Moreover, few of the existing studies provide reliable data on the nature, scope, and impacts of TFSV. Preliminary studies, however, indicate that some harms, much like sexual violence more broadly, may be predominantly gender-, sexuality-, and age-based, with young women being overrepresented as victims in some categories. This review collects the empirical evidence to date regarding the prevalence and gender-based nature of TFSV against adults and discusses the implications for policy and programs, as well as suggestions for future research.
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            Sexual harm reduction practices of HIV-seropositive gay and bisexual men: serosorting, strategic positioning, and withdrawal before ejaculation.

            This study assessed unprotected anal and oral sex behaviors of HIV-positive gay and bisexual men in New York City and San Francisco with their main and non-main sexual partners. Here we focus on the use of three harm reduction strategies (serosorting, strategic positioning, and withdrawal before ejaculation) in order to decrease transmission risk. The data from a baseline assessment of 1168 HIV-positive gay and bisexual men in the two cities were utilized. Men were recruited from a variety of community-based venues, through advertising and other techniques. City differences were identified, with more men in San Francisco reporting sexual risk behaviors across all partner types compared with men in New York City. Serosorting was identified, with men reporting significantly more oral and anal sex acts with other HIV-positive partners than with HIV-negative partners. However, men also reported more unprotected sex with partners of unknown status compared with their other partners. Some evidence of strategic positioning was identified, although differences were noted across cities and across different types of partners. Men in both cities reported more acts of oral sex without ejaculation than with ejaculation, but the use of withdrawal as a harm reduction strategy for anal sex was more common among men from San Francisco. Overall, evidence for harm reduction was identified; however, significant differences across the two cities were found. The complicated nature of the sexual practices of gay and bisexual men are discussed, and the findings have important implications for prevention efforts and future research studies.
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              Disintermediating your friends: How online dating in the United States displaces other ways of meeting

              We present data from a nationally representative 2017 survey of American adults. For heterosexual couples in the United States, meeting online has become the most popular way couples meet, eclipsing meeting through friends for the first time around 2013. Moreover, among the couples who meet online, the proportion who have met through the mediation of third persons has declined over time. We find that Internet meeting is displacing the roles that family and friends once played in bringing couples together.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Computers in Human Behavior Reports
                Computers in Human Behavior Reports
                Elsevier BV
                24519588
                January 2021
                January 2021
                : 3
                : 100055
                Article
                10.1016/j.chbr.2021.100055
                5f1c6d28-59ea-4de4-bf69-fe22332a8c09
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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