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A study finds gender bias in music recommendation algorithms


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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 Loop , New York , United States , Xavier Serra , Christine Bauer , Music Technology , Department Of Information , University Of Utrecht Netherlands , Association For Computing Machinery , Communication Technologies , Gender Imbalance , Human Information Interaction , Computing Machinery , Algorithms Models , Sex Linked Conditions , Technology Engineering Computer Science , Computer Science , Multimedia Networking Interface Design , Software Engineering , Robotry Artificial Intelligence , தி வளைய , புதியது யார்க் , ஒன்றுபட்டது மாநிலங்களில் , ஐயேவியர் செர்ரா , கிறிஸ்டின் பாயர் , இசை தொழில்நுட்பம் ,