Recommendation algorithms are omnipresent on streaming platforms, shaping on a grand scale our modes of discovery, the musical genres we listen to and, most importantly, the visibility given to emerging artists. Yet opacity reigns, and strong disparities are noted, favoring men and the most popular musical genres to the detriment of women, gender minorities and cultural diversity. Is it possible to make music algorithms more inclusive and representative? And if so, how and on what scale?
