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Algorithmic Compatibility: Love, Intimacy, and Pleasure on Geosocial Dating Apps

Jennifer Sawyer et al.

ABSTRACT. Employing recent research results covering love, intimacy, and pleasure on geosocial dating apps, and building our argument by drawing on data collected from Morning Consult, Pew Research Center, Statista, We are Flint, and YouGov, we performed analyses and made estimates regarding the likelihood that U.S. adults would use a dating application or website to find a new partner. Structural equation modeling was used to analyze the collected data.

Keywords: algorithm; compatibility; intimacy; geosocial; dating; app

How to cite: Sawyer, J., Kral, P., Durana, P., and Suler, P. (2020). “Algorithmic Compatibility: Love, Intimacy, and Pleasure on Geosocial Dating Apps,” Journal of Research in Gender Studies 10(1): 94–100. doi:10.22381/JRGS101202010

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Authors' contacts

Jennifer Sawyer
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The Institute of Smart Big Data Analytics,
New York City, NY, USA
(corresponding author)
Pavol Kral
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Faculty of Operation and Economics
of Transport and Communications,
Department of Economics,
University of Zilina, Zilina, Slovak Republic
Pavol Durana
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Faculty of Operation and Economics
of Transport and Communications,
Department of Economics,
University of Zilina, Zilina, Slovak Republic
Petr Suler
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The School of Expertness and Valuation,
The Institute of Technology and Business
in Ceske Budejovice, Czech Republic

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