Jawad Iqbal writes in the London Times:
Their algorithms, which recommend things you might like based on your listening habits, are basically sexist, generating playlist after playlist dominated by male musicians.
Isn't it like sexual preference — you really do respond to the sex of the singer? With no machine helping me at all, I can see in the music choices I am making that I prefer a male voice.
Those damning findings...
Damning!!
... come from research conducted at Utrecht University in the Netherlands and Universitat Pompeu Fabra in Barcelona. Academics analysed the listening patterns of 330,000 users over nine years: only a quarter of the artists they listened to were women, because on average the first algorithm-recommended track was always by a man; listeners had to wait until the seventh or eighth song before hearing from a woman.
It's a problem only if you assume that the outcome should be equal. But isn't the algorithm attuned to what people have responded to?
Some of this bias is a reflection of historical failures in the music industry, which has always been dominated by male acts, save for occasional superstars such as Taylor Swift or Beyoncé.
Maybe we respond to what we respond to because it's familiar, and what is familiar is a consequence of sexist decision-making within the music industry. Why do we like what we like? Is it deep or is it shallow?
There's something called the "mere exposure" effect (Wikipedia):
