Abstract
Online dating has become one of the prominent ways of meeting new people. Coupled with anonymity in online dating, the possibility of subsequent face-to-face encounters in online dating magnifies concerns regarding offline problems, such as sexual assaults and privacy invasions, which may hold users back from initiating the relationship. We aim to analyze the impact of an offline event related to such concerns on online dating users' behaviors by focusing on the Me-Too Movement that gained global support. We found that, after Me-Too Movement, female users significantly sent a fewer number of likes and were more likely to reject match requests compared to male users. Moreover, we found that female users sent shorter messages and used fewer compliment words compared to male counterparts after the movement. Our results contribute to both literature and practice, by examining gender differences in users' reaction towards the Me-Too Movement as an offline stimulus.
| Original language | English |
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| Title of host publication | International Conference on Information Systems, ICIS 2020 - Making Digital Inclusive |
| Subtitle of host publication | Blending the Local and the Global |
| Publisher | Association for Information Systems |
| ISBN (Electronic) | 9781733632553 |
| Publication status | Published - 2020 |
| Event | 2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020 - Virtual, Online, India Duration: 2020 Dec 13 → 2020 Dec 16 |
Publication series
| Name | International Conference on Information Systems, ICIS 2020 - Making Digital Inclusive: Blending the Local and the Global |
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Conference
| Conference | 2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020 |
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| Country/Territory | India |
| City | Virtual, Online |
| Period | 20/12/13 → 20/12/16 |
Bibliographical note
Publisher Copyright:© ICIS 2020. All rights reserved.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Statistics, Probability and Uncertainty
- Library and Information Sciences
- Applied Mathematics