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.

Keywords: algorithm; digital dating; sexually affective data; networked intimacy

How to cite: Eskridge, Marty (2019). “Falling in Love with Algorithmic Compatibility in a Digital Dating Landscape: Sexually Affective Data, Networked Intimacy, and Online Gendered Identity Constructions,” Journal of Research in Gender Studies 9(2): 92–98. doi:10.22381/JRGS92201910

Received 18 July 2019 • Received in revised form 10 December 2019
Accepted 12 December 2019 • Available online 15 December 2019

Marty Eskridge
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The Big Data Algorithmic Analytics Laboratory
at AAER, Memphis, TN, USA

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