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Disintermediating your friends: How online dating in the United States displaces other ways of meeting

Author

Listed:
  • Michael J. Rosenfeld

    (Department of Sociology, Stanford University, Stanford, CA 94305)

  • Reuben J. Thomas

    (Department of Sociology, University of New Mexico, Albuquerque, NM 87131)

  • Sonia Hausen

    (Department of Sociology, Stanford University, Stanford, CA 94305)

Abstract

We present data from a nationally representative 2017 survey of American adults. For heterosexual couples in the United States, meeting online has become the most popular way couples meet, eclipsing meeting through friends for the first time around 2013. Moreover, among the couples who meet online, the proportion who have met through the mediation of third persons has declined over time. We find that Internet meeting is displacing the roles that family and friends once played in bringing couples together.

Suggested Citation

  • Michael J. Rosenfeld & Reuben J. Thomas & Sonia Hausen, 2019. "Disintermediating your friends: How online dating in the United States displaces other ways of meeting," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(36), pages 17753-17758, September.
    • Handle: RePEc:nas:journl:v:116:y:2019:p:17753-17758
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    Citations

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    Cited by:

    1. Ugo Bolletta & Luca Paolo Merlino, 2022. "Marriage Through Friends," Dynamic Games and Applications, Springer, vol. 12(4), pages 1046-1066, December.
    2. Virgil Henry Storr & Rachael K. Behr & Michael R. Romero, 2023. "Commercial Friendships During a Pandemic," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 36(3), pages 357-382, September.
    3. Charles R. Hulten & Leonard I. Nakamura, 2022. "Is GDP Becoming Obsolete? The “Beyond GDP” Debate," NBER Working Papers 30196, National Bureau of Economic Research, Inc.
    4. Daniel Boller & Michael Lechner & Gabriel Okasa, 2021. "The Effect of Sport in Online Dating: Evidence from Causal Machine Learning," Papers 2104.04601, arXiv.org.
    5. Navid Ghaffarzadegan & Sarah Mostafavi & Hyunjung Kim, 2023. "Sociotechnical interdependencies and tipping‐point dynamics in data‐intensive services," System Dynamics Review, System Dynamics Society, vol. 39(1), pages 5-31, January.
    6. Sonia Ferrari, 2022. "Impacts of Second Home and Visiting Friends and Relatives Tourism on Migration: A Conceptual Framework," Sustainability, MDPI, vol. 14(7), pages 1-13, April.
    7. Ni Huang & Gordon Burtch & Yumei He & Yili Hong, 2022. "Managing Congestion in a Matching Market via Demand Information Disclosure," Information Systems Research, INFORMS, vol. 33(4), pages 1196-1220, December.
    8. Maria Sironi & Ridhi Kashyap, 2022. "Internet access and partnership formation in the United States," Population Studies, Taylor & Francis Journals, vol. 76(3), pages 427-445, September.
    9. Tobias Lehmann & Camille Terrier & Rafael Lalive, 2023. "Costs and Benefits of Congestion in Two-Sided Markets: Evidence from the Dating Market," Working Papers 964, Queen Mary University of London, School of Economics and Finance.
    10. Mylius, F., 2023. "Why Personal Ties (Still) Matter: Referrals and Congestion," Cambridge Working Papers in Economics 2356, Faculty of Economics, University of Cambridge.

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