So, Who Likes You? Evidence from a Randomized Field Experiment
With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market: women, governed by age-old social norms of not making the first move, are inhibited in their interactions, in that they do not initiate contact with men. On the other side, men send an abundance of messages, the majority of which do not convert to matches. A key distinguishing feature of online dating versus its traditional counterpart is the ability to leave a range of digital signals not replicable in the offline world. These digital signals can impact the nature of online dating platform outcomes. In this paper, we study the impact of a feature that reveals ‘who likes you’ (WLY) on engagement, number of matches, match efficiency, and match sorting in online dating. This feature reveals the identity of the voters who have rated the focal user with a like. To causally identify the effect of this feature we conduct a large-scale randomized control trial in collaboration with a major North American dating platform. The treatment causes women to be more proactive, sending 7.4% more messages, which is a highly desirable market improvement given that men send double the number of messages as compared to women. Further, we find that the women endowed with this feature increase their matches by 14.4%, while men increase their matches by 11.5%. Analyzing the moderating impact of desirability—a key aspect of the WLY feature—provides us with nuanced findings. Depending on the levels of each of the two parties’ desirability, we see evidence of sorting, encouragement, and discouragement
Year of publication: |
2022
|
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Authors: | Bapna, Ravi ; McFowland, Edward ; Mojumder, Probal ; Ramaprasad, Jui ; Umyarov, Akhmed |
Publisher: |
[S.l.] : SSRN |
Saved in:
freely available
Extent: | 1 Online-Ressource (67 p) |
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Type of publication: | Book / Working Paper |
Language: | English |
Notes: | In: Management Science Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 21, 2022 erstellt |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014076759
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