according to a new study that discovered a “widely used” algorithm is more likely to recommend male artists, as opposed to “female and mixed-gender artists.”An analysis of 330,000 streaming music listeners over a nine-year period showed that only 25% of songs played were led by women.
Their observations revealed that “on average,” the platform will start by spinning six tracks by men before choosing a female artist. “Users had to wait until song seven or eight to hear one by a woman,” wrote Christine Bauer, assistant professor of Human-Centered Computing at Utrecht University in the Netherlands, and Andres Ferraro, Ph.D.
Read more on nypost.com
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