The Impact of Ranking Interventions and Task-Level Factors in Recruitment Interfaces for Shortlisting
Abstract: Personnel recruitment is increasingly mediated by automated mechanisms to select and rank candidates. We present a series of user studies on candidate shortlisting that seek to elucidate the way in which selecting candidates from a ranked list is affected by task-level factors, individual representations of candidates, and the ordering in which candidates are displayed. In a nutshell, demographic balance in ranking visibility does not entail demographic balance in outcomes. These findings have implications for the design of algorithms, interfaces, and initiatives for diversity in employment. This talk corresponds to joint work with Alessandro Fabbris, Clara Rus, Asia Biega, Anna Gatzioura, and Jorge Saldivar within Horizon Europe project FINDHR.
Short bio: Carlos Castillo (they/them) is an ICREA Research Professor at Universitat Pompeu Fabra in Barcelona, where they lead the Web Science and Social Computing research group. They are a web miner with a background in information retrieval and have been influential in the areas of crisis informatics, web content quality and credibility, and adversarial web search. They are a prolific, highly cited researcher who has co-authored over 110 publications in top-tier international conferences and journals, receiving two test-of-time awards, five best paper awards, and two best student paper awards. Their works include a book on Big Crisis Data, as well as monographs on Information and Influence Propagation, and Adversarial Web Search.
Presenter: Prof Carlos Castillo (University Pompeu Fabra, Spain)
Date: 2025-05-15 11:30 (CEST)
Location: Oficinas ELLIS Alicante, Muelle Pte., 5 – Edificio A, Alicante 03001, Alicante ES
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