How clicks on a job platform can reveal gender, ethnic, and racial bias

Education and skills should be the key determinants of whether a candidate gets a job or not, but in reality, gender, origin or race/ethnicity end up influencing hiring decisions. By leveraging big data from recruitment platforms and machine learning to study hiring discrimination, Dominik Hangartner, Daniel Kopp, and Michael Siegenthaler show that discrimination against immigrants depends, among other things, on their origin and time of day; and that both men and women face discrimination.