Implicit racial bias, a type of unconscious bias that accelerates one's decision-making, is critically prevalent on peer-to-peer marketplaces like Airbnb because one's race is easily identifiable through the profiles that people share online. Although implicit racial bias can occur in both directions between guests and hosts during the transactional process, where either party may be treated unfairly, most efforts to date have focused on protecting "guests". Therefore, this study specifically sheds light on implicit racial bias against "hosts" on Airbnb and further explores moderating variables that may mitigate such bias, drawing on availability bias and self-disclosure theory. Through a series of two experiments, the results show that more reviews and host self-disclosure can mitigate implicit racial bias against hosts. This study provides novel insights into peer-to-peer marketplaces by demonstrating not only the existence of implicit bias, but also how such bias can be mitigated to promote social justice.

中文翻译：

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打击点对点市场中对房东的隐性种族偏见：来自可用性偏见和自我披露理论的见解


隐性种族偏见是一种加速决策的无意识偏见，在 Airbnb 等点对点市场上非常普遍，因为通过人们在线分享的个人资料很容易识别一个人的种族。尽管在交易过程中，房客/体验参与者和房东/体验达人之间可能存在双向隐性种族偏见，任何一方都可能受到不公平的对待，但迄今为止，大多数努力都集中在保护「房客/体验参与者」上。因此，本研究特别阐明了 Airbnb 上针对 “房东” 的隐性种族偏见，并借鉴了可用性偏差和自我披露理论，进一步探讨了可能减轻这种偏见的调节变量。通过一系列的两项实验，结果表明，更多的评价和房东的自我披露可以减少对房东的隐性种族偏见。这项研究不仅证明了隐性偏见的存在，还证明了如何减轻这种偏见以促进社会正义，从而为点对点市场提供了新的见解。