@inproceedings{6ce5a4dc5f4945b39ec279fcaa970dcf,
title = "Airbnb{\textquoteright}s Reputation System and Gender Differences Among Guests: Evidence from Large-Scale Data Analysis and a Controlled Experiment",
abstract = "Sharing economy platforms are rapidly scaling up by reaching increasingly diverse demographics. However, this expansion comes with great difficulties in adequately identifying and responding to everyone{\textquoteright}s needs. In this paper, we study gender-related behaviors of guests on the currently most prominent home-sharing platform, Airbnb. While our results confirm the efficacy of Airbnb{\textquoteright}s reputation system, we also find that the level of trust and participation on the platform varies by gender. In particular, female solo travelers are more likely to be conscious of review sentiment and choose more often female hosts than male solo travelers. Our findings are obtained by combining exploratory data analysis with large-scale experiments and call for further studies on the usage of sharing economy platforms among subpopulations, informing and improving both policy and practice in these growing online environments.",
keywords = "Gender bias, Reputation systems, Sharing economy, Trust",
author = "Eunseo Choi and Horv{\'a}t, {Em{\H o}ke {\'A}gnes}",
note = "Funding Information: Acknowledgments. The authors would like to thank Joshua Becker and Johannes Wachs for their feedback. We are also grateful to all the anonymous Mechanical Turk participants for their input to the presented experimental studies (IRB: STU00207726). This work was supported in part by a Northwestern Undergraduate Summer Research grant and the U.S. National Science Foundation (IIS-1755873). Funding Information: The authors would like to thank Joshua Becker and Johannes Wachs for their feedback. We are also grateful to all the anonymous Mechanical Turk participants for their input to the presented experimental studies (IRB: STU00207726). This work was supported in part by a Northwestern Undergraduate Summer Research grant and the U.S. National Science Foundation (IIS-1755873). Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 11th International Conference on Social Informatics, SocInfo 2019 ; Conference date: 18-11-2019 Through 21-11-2019",
year = "2019",
doi = "10.1007/978-3-030-34971-4_1",
language = "English (US)",
isbn = "9783030349707",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "3--17",
editor = "Ingmar Weber and Darwish, {Kareem M.} and Claudia Wagner and Claudia Wagner and Fabian Fl{\"o}ck and Emilio Zagheni and Samin Aref and Laura Nelson",
booktitle = "Social Informatics - 11th International Conference, SocInfo 2019, Proceedings",
}