Online freelancing marketplaces have grown quickly in recent years. In theory, these sites offer workers the ability to earn money without the obligations and potential social biases associated with traditional employment frameworks. In this paper, we study whether two prominent online freelance marketplaces-TaskRabbit and Fiverrare impacted by racial and gender bias. From these two platforms, we collect 13,500 worker profiles and gather information about workers' gender, race, customer reviews, ratings, and positions in search rankings. In both marketplaces, we find evidence of bias: we find that perceived gender and race are significantly correlated with worker evaluations, which could harm the employment opportunities afforded to the workers. We hope that our study fuels more research on the presence and implications of discrimination in online environments.
On producer fairness, Hannák et al. REF studied racial and gender bias in freelance marketplaces.
Bias in Online Freelance Marketplaces: Evidence from TaskRabbit and Fiverr
CSCW '17
Computer Science