25 citations · 101 across the 9 of their papers we have counts for
7 papers · 1 filter
A Note on the Significance Adjustment for FA*IR with Two Protected Groups
Meike Zehlike, Tom Sühr, Carlos Castillo
In this report we provide an improvement of the significance adjustment from the FA*IR algorithm of Zehlike et al., which did not work for very short rankings in combination with a…
Exploring Artist Gender Bias in Music Recommendation
Dougal Shakespeare, Lorenzo Porcaro, Emilia Gómez +1
Music Recommender Systems (mRS) are designed to give personalised and meaningful recommendations of items (i.e. songs, playlists or artists) to a user base, thereby reflecting and…
SciLens News Platform: A System for Real-Time Evaluation of News Articles
Angelika Romanou, Panayiotis Smeros, Carlos Castillo +1
We demonstrate the SciLens News Platform, a novel system for evaluating the quality of news articles. The SciLens News Platform automatically collects contextual information about…
Towards Data-Driven Affirmative Action Policies under Uncertainty
Corinna Hertweck, Carlos Castillo, Michael Mathioudakis
In this paper, we study university admissions under a centralized system that uses grades and standardized test scores to match applicants to university programs. We consider affir…
Intersectional Affirmative Action Policies for Top-k Candidates Selection
Giorgio Barnabo', Carlos Castillo, Michael Mathioudakis +1
We study the problem of selecting the top-k candidates from a pool of applicants, where each candidate is associated with a score indicating his/her aptitude. Depending on the spec…
Addressing multiple metrics of group fairness in data-driven decision making
Marius Miron, Songül Tolan, Emilia Gómez +1
The Fairness, Accountability, and Transparency in Machine Learning (FAT-ML) literature proposes a varied set of group fairness metrics to measure discrimination against socio-demog…