Medicine and Health Sciences Commons^™

Sexting Among Married Couples: Who Is Doing It, And Are They More Satisfied?, Brandon T. Mcdaniel Phd, Michelle Drouin

Health Services and Informatics Research

This study examined the prevalence and correlates of sexting (i.e., sending sexual messages via mobile phones) within a sample of married/cohabiting couples (180 wives and 175 husbands). Married adults do sext each other, but it is much less common than within young adult relationships, and consists mainly of sexy or intimate talk (29% reported engaging in sexy talk with partners) rather than sexually explicit photos or videos (12% reported sending nude or nearly-nude photos). Sending sexy talk messages was positively related to relationship satisfaction only among those with high levels of avoidance, and sending sexually explicit pictures was related to …

This Digital Life: A Neighborhood-Based Study Of Adolescents' Lives Online, Jessica Pater Phd, Andrew D. Miller, Elizabeth Mynatt

Health Services and Informatics Research

In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems.

In this paper, we present the results of a multi-year study of the social computing practices of 179 adolescents (Mage=12.4 years, SD=1.3; range: 10-14) living in a majority-minority lower-income urban neighborhood in the Southeast U.S. We investigate shifting social media practices using annual surveys and focus groups. We describe participants’ social media use and motivations and show how that use has shifted over time. We show how participants identify social pressures and influences as well as specific behaviors including computer-mediated risky behaviors and self-harm. We discuss …

Missing Photos, Suffering Withdrawal, Or Finding Freedom? How Experiences Of Social Media Non-Use Influence The Likelihood Of Reversion, Eric P.S. Baumer, Shion Guha Phd, Emily Quan, David Mimno, Geri K. Gay

Health Services and Informatics Research

This article examines social media reversion, when a user intentionally ceases using a social media site but then later resumes use of the site. We analyze a convenience sample of survey data from people who volunteered to stay off Facebook for 99 days but, in some cases, returned before that time. We conduct three separate analyses to triangulate on the phenomenon of reversion: simple quantitative predictors of reversion, factor analysis of adjectives used by respondents to describe their experiences of not using Facebook, and statistical topic analysis of free-text responses. Significant factors predicting either increased or decreased likelihood of reversion …