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Detecting and Mitigating Discrimination in Online Platforms: Lessons from Airbnb, Uber, and Others Cover

Detecting and Mitigating Discrimination in Online Platforms: Lessons from Airbnb, Uber, and Others

By: Michael Luca and  Dan Svirsky  
Open Access
|Oct 2020

Abstract

Research has documented racial or ethnic discrimination in online marketplaces, from labor markets to credit applications to housing. Platforms should therefore investigate how platform design decisions and algorithms can influence the extent of discrimination in a marketplace. By increasing awareness of this issue, managers can proactively address the problem. In many cases, a simple but effective change a platform can make is to withhold potentially sensitive user information, such as race and gender, until after a transaction has been agreed to. Further, platforms can use principles from choice architecture to reduce discrimination. For example, people have a tendency to use whatever option is set as the default. If Airbnb switched, for instance, ist default to instant book, requiring hosts to actively opt out of it, the company could reduce the scope for discrimination. It is important that discrimination and possible solutions are discussed transparently.

Language: English
Page range: 28 - 33
Published on: Oct 23, 2020
Published by: Nuremberg Institute for Market Decisions
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2020 Michael Luca, Dan Svirsky, published by Nuremberg Institute for Market Decisions
This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 License.