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Airbnb's Reputation System and Gender Differences Among Guests: Evidence from Large-Scale Data Analysis and a Controlled Experiment

机译:Airbnb在客人的声誉系统和性别差异:来自大规模数据分析和受控实验的证据

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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'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'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.
机译:共享经济平台通过达到越来越多的人口统计数据来迅速扩大。然而,这种扩张在充分识别和响应每个人的需求方面具有巨大困难。在本文中,我们研究了目前最杰出的家庭共享平台,Airbnb的性别相关行为。虽然我们的结果证实了Airbnb的声誉系统的功效,但我们还发现,平台的信任程度和参与程度因性别而异。特别是,女性独奏旅行者更有可能意识到审查情绪,并比男性独奏旅行者选择更经常女主体。我们的研究结果是通过将探索性数据分析与大规模实验相结合,并呼吁进一步研究群体中共享经济平台的使用,了解和改进这些不断增长的在线环境中的政策和实践。

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