Gender differences in online dating: What do we know so far? A systematic literature review
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
With millions of users worldwide, online dating platforms strive to assert themselves as powerful tools to find dates and form romantic relationships. However, significant differences exist in male and female use of this mate-matching technology with respect to motivation, preferences, self-presentation, interaction and outcomes. While existing research has routinely reported on gender differences in online dating, these insights remain scattered across multiple studies. To gain a systematic insight into existing findings, in this study we conduct a meta-review of existing research. We find that evolutionary theory generally holds true in online dating: Users still follow natural stereotypes when it comes to choosing a mate online. Physical attractiveness is the key criteria for men, while women, being much more demanding, prioritize socio-economic attributes when choosing a male partner. Together, our structured findings offer a deeper insight into the underlying dynamics of gender differences in online dating.
Original language | English |
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Title of host publication | Proceedings of the 49th Annual Hawaii International Conference on System Sciences : 5–8 January 2016, Kauai, Hawaii |
Editors | Tung X. Bui, Ralph H. Sprague |
Number of pages | 10 |
Place of Publication | Los Alamitos |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Publication date | 07.03.2016 |
Pages | 3858-3867 |
Article number | 7427665 |
ISBN (electronic) | 978-0-7695-5670-3 |
DOIs | |
Publication status | Published - 07.03.2016 |
Externally published | Yes |
Event | 49th Annual Hawaii International Conference on System Sciences - HICSS 2016 - Kauai, United States Duration: 05.01.2016 → 08.01.2016 Conference number: 49 http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=45773©ownerid=19251 |
Bibliographical note
Publisher Copyright:
© 2016 IEEE.
- Evolutionary theory, Gender differences, Meta-review, Online dating
- Business informatics
- Informatics