4.6 Article

Folk Theories of Online Dating: Exploring People's Beliefs About the Online Dating Process and Online Dating Algorithms

期刊

SOCIAL MEDIA + SOCIETY
卷 8, 期 2, 页码 -

出版社

SAGE PUBLICATIONS LTD
DOI: 10.1177/20563051221089561

关键词

folk theories; algorithms; relationship initiation; online dating; traditional dating

资金

  1. NSF [1520723]
  2. SBE Off Of Multidisciplinary Activities
  3. Direct For Social, Behav & Economic Scie [GRANTS:13994295, 1520723] Funding Source: National Science Foundation

向作者/读者索取更多资源

This research investigates how online daters understand their experiences in online dating and the algorithms that support online dating platforms. Using a mixed-method approach, the researchers identified and explored the folk theories related to traditional dating, online dating, and online dating algorithms. The findings provide new insights into how daters make sense of the different dating processes and algorithms.
How do online daters come to understand and make sense of their online dating experiences and the algorithms that underlie online dating platforms? Across two mixed-method studies, we take a metaphoric approach to identify and explore people's folk theories about traditional dating, online dating, and online dating algorithms. In Study I , we take a quantitative approach and use an innovative wiki-survey procedure to identify individuals' folk theories of online dating and their associated themes through content analyses. In Study 2, we take a qualitative approach, exploring participants' folk theories through in-depth interviews, extended case method, and grounded theory. Our studies uncovered two folk theories unique to traditional dating (movies, nurturing), one folk theory unique to online dating (game), three folk theories related to online dating algorithms (filter, personalized advertisements, bracket), and two folk theories that were found to overlap between traditional and online dating (shopping, chance and randomness). Our findings provide novel insights into how daters make sense of traditional and online relationship development processes as well as the algorithms that underlie online dating platforms.

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