|dc.description.abstract||Racial discrimination in the sharing economy is a topic drawing increasing attention. The
short-term rental company Airbnb implemented several initiatives aiming to limit
discrimination on its platform. Yet, it did not solve the issue and the users’ social
responsibility involved in the peer-to-peer service adds complexity to the case.
Recent studies assessed racial discrimination in the sharing economy, and more particularly
on Airbnb. This thesis analyses discrimination based on host’s ethnicity in Airbnb’s services
with data from 2 online experiments in the aim to understand who discriminates, why do
people discriminate and what service triggers discriminatory outcomes.
Data analysis provided cross-cultural insights between Norway and Belgium. Right-wingers
and individuals with a high level of perceived outgroup threat appeared to discriminate
against the outgroup host. Oppositely, left-wingers and individuals with a low level of
perceived outgroup threat appeared to discriminate in favor the outgroup host. Results
showed that people discriminate based on their self-connection with the apartment. In the
home swap service context, the self-other overlap was also a basis for discrimination.
Finally, three nudges to tackle racial discrimination on Airbnb are suggested: encouraging
mutual reviews, rating the accuracy of accommodation’s pictures, and increasing
information about the host. Further research is needed to assess their power in reducing
implicit bias in the decision process.||nb_NO