Falling in Love with Algorithmic Compatibility in a Digital Dating Landscape: Sexually Affective Data, Networked Intimacy, and Online Gendered Identity Constructions
Falling in Love with Algorithmic Compatibility in a Digital Dating Landscape: Sexually Affective Data, Networked Intimacy, and Online Gendered Identity Constructions
Author(s): Marty EskridgeSubject(s): Gender Studies, ICT Information and Communications Technologies, Identity of Collectives
Published by: Addleton Academic Publishers
Keywords: algorithm; digital dating; sexually affective data; networked intimacy;
Summary/Abstract: The purpose of this study was to empirically examine the relationship between sexually affective data, networked intimacy, and online gendered identity constructions. Building my argument by drawing on data collected from Pew Research Center, I performed analyses and made estimates regarding % of U.S. adults within each group who have ever used an online dating site or mobile dating application and % of all teens who have blocked or unfriended someone on social media who was flirting in a way that made them uncomfortable. The structural equation modeling technique was used to test the research model.
Journal: Journal of Research in Gender Studies
- Issue Year: 9/2019
- Issue No: 2
- Page Range: 92-98
- Page Count: 7
- Language: English
- Content File-PDF