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Friday, April 24 • 11:20am - 11:40am
Increasing Honesty in Airbnb Reviews

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Reviews and reputation scores are increasingly important for decision-making, especially in the case of online marketplaces. However, online reviews may not provide an accurate depiction of the characteristics of a product, either because many people do not leave reviews or because some reviewers omit salient information.

At Airbnb, we study the causes and magnitude of bias in online reviews by using large-scale field experiments that change the incentives of buyers and sellers to honestly review each other. Natural language processing has allowed us to extend our analyses and study bias in reviews by using the written feedback guests and hosts write after a trip.


Dave Holtz

@daveholtzDave Holtz is a data scientist at Airbnb focusing on online reputation, and pricing. Previously, he worked as a data science engineer at Yub (acquired by Coupons.com) and as a data scientist and Product Manager at TrialPay. He is the instructor for Udacity’s Introduction... Read More →

Friday April 24, 2015 11:20am - 11:40am

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