Big dating: a computational approach to examine gendered self-presentation on Tinder

Zeph M.C. Van Berlo, Giulia Ranzini

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

GPS-based dating apps have changed the way users find potential partners. Their minimalistic design, aimed at encouraging fast transitions between online match and offline encounter, leaves little space for users’ verbal self-presentation. As such, biographies become important tools of impression management. Based on an anonymized sample of 50,406 biographies, we analyze how users employ words to attract the right partner, and explore gendered differences in word choice and use.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Social Media and Society, SMSociety 2018
PublisherAssociation for Computing Machinery
Pages390-394
Number of pages5
ISBN (Print)9781450363341
DOIs
Publication statusPublished - 18 Jul 2018
Event9th International Conference on Social Media and Society, SMSociety 2018 - Copenhagen, Denmark
Duration: 18 Jul 201820 Jul 2018

Conference

Conference9th International Conference on Social Media and Society, SMSociety 2018
CountryDenmark
CityCopenhagen
Period18/07/1820/07/18

Keywords

  • ACM proceedings
  • Big data
  • Online dating
  • Self-presentation

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