Music recommendation algorithms are unfair to women artists — but we can fix that

These days, more and more people listen to music on streaming apps – in early 2020, 400 million people were subscribed to one. These platforms use algorithms to recommend music based on listening habits. The recommended songs might feature in new playlists or they might start to play automatically when another playlist has ended. But what the algorithms recommend is not always fair. In a new study we showed a widely used recommendation algorithm is more likely to pick music by male than female artists. In response, we’ve come up with a simple way to give more exposure to female…

This story continues at The Next Web

from The Next Web https://ift.tt/31B02oo