Fairness of Scoring in Online Job Marketplaces

ACM/IMS Transactions on Data Science, pp. 1-30, 2020.

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Abstract:

We study fairness of scoring in online job marketplaces. We focus on group fairness and aim to algorithmically explore how a scoring function, through which individuals are ranked for jobs, treats different demographic groups. Previous work on group-level fairness has focused on the case where groups are pre-defined or where they are defi...More

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