Abstract

Ride-hailing services havegenerated remarkable impacts on various aspects of society. Little, however, isknown about its effects on hate crimes. We make use of the staggered timepoints that Uber services enter U.S. counties to create aDifference-in-Differences model, which is able to unveil the role thatUber-like sharing gigs play in the occurrence of hate crimes. Our estimationshows that ride sharing services can significantly reduce hate crimes insociety, because ride sharing services connect users from different groups intoone shared ride, which enables the cross-group conversations. Contact theory inpsychology suggests that communications are one of the most effective way todecrease outgroup prejudice, which is the root for hate crimes. Ride sharingservices, which offer opportunities for intergroup contacts, are thus helpfulin reducing outgroup prejudice and decreasing hate crimes. Heterogeneousanalyses provide further evidence for the contact-based mechanisms that drivesuch reduction impacts. We also conduct various robustness checks thatconsistently demonstrate the validity of ride sharing services in reducing hatecrimes. This study has important theoretical and practical implications, interms of both advancing the understanding of sharing gigs and guiding policymakers to combat hate crime.

Time

2021-01-08（周五）09:00-11:00

Speaker

Lin Qiu isa PhD in Information Systems and Analytics at School of Computing, NationalUniversity of Singapore. Her research interests include the social impact ofdigital innovation, Economics of IS, and Healthcare in IS. Lin Qiu holds abachelor’s degree in Business Administration from Xiamen University. 

Venue

Zoom会议室ID:96739352149

密码：123456