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 E-Mail Although the problem of gender discrimination is already found in the music industry, music recommendation algorithms would be increasing the gender gap. Andrés Ferraro and Xavier Serra, researchers of the Music Technology research group (MTG) of the UPF Department of Information and Communication Technologies (DTIC), with Christine Bauer, of the University of Utrecht (Netherlands), have recently published a paper on gender balance in music recommendation systems in which they ask themselves how the system should work to avoid gender bias. At the outset, the authors identified that gender justice was one of the artists main concerns Initially, the work by Ferraro, Serra and Bauer aimed to understand the fairness of music platforms available online from the artists point of view. In interviews conducted with music artists, they identified that gender justice was one of their main concerns.

The loopNew yorkUnited statesXavier serraChristine bauerMusic technologyDepartment of informationUniversity of utrecht netherlandsAssociation for computing machineryCommunication technologiesGender imbalanceHuman information interactionComputing machineryAlgorithms modelsSex linked conditionsTechnology engineering computer science