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

Zeph M.C. Van Berlo; Giulia Ranzini

doi:10.1145/3217804.3217951

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 proceeding › Conference contribution › Academic › peer-review

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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 language	English
Title of host publication	Proceedings of the 9th International Conference on Social Media and Society, SMSociety 2018
Publisher	Association for Computing Machinery
Pages	390-394
Number of pages	5
ISBN (Print)	9781450363341
DOIs	https://doi.org/10.1145/3217804.3217951
Publication status	Published - 2018
Event	9th International Conference on Social Media and Society, SMSociety 2018 - Copenhagen, Denmark Duration: 18 Jul 2018 → 20 Jul 2018

Conference

Conference	9th International Conference on Social Media and Society, SMSociety 2018
Country/Territory	Denmark
City	Copenhagen
Period	18/07/18 → 20/07/18

Keywords

ACM proceedings
Big data
Online dating
Self-presentation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3217804.3217951

Big DatingFinal published version, 592 KBLicence: Article 25fa Dutch Copyright Act

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Cite this

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title = "Big dating: a computational approach to examine gendered self-presentation on Tinder",

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{\textquoteright} 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.",

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author = "{Van Berlo}, {Zeph M.C.} and Giulia Ranzini",

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booktitle = "Proceedings of the 9th International Conference on Social Media and Society, SMSociety 2018",

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Van Berlo, ZMC & Ranzini, G 2018, Big dating: a computational approach to examine gendered self-presentation on Tinder. in Proceedings of the 9th International Conference on Social Media and Society, SMSociety 2018. Association for Computing Machinery, pp. 390-394, 9th International Conference on Social Media and Society, SMSociety 2018, Copenhagen, Denmark, 18/07/18. https://doi.org/10.1145/3217804.3217951

Big dating: a computational approach to examine gendered self-presentation on Tinder. / Van Berlo, Zeph M.C.; Ranzini, Giulia.
Proceedings of the 9th International Conference on Social Media and Society, SMSociety 2018. Association for Computing Machinery, 2018. p. 390-394.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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

Abstract

Conference

Keywords

UN SDGs

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