In the last installment of this #genre series, I laid out what I see as two competing narratives in popular music discourses: genre-is-dead and genres-are-(over)abundant. In this post, I’ll share one part of the results from my exploration of how these two ideas might coexist in some Spotify metadata. That is, I’ll show what kinds of genre labels Spotify gives to artists.
First, why focus on Spotify? It’s extremely popular, so it has a huge impact on how many people experience the ramifications of categorization. Second, they have an API that makes some of their metrics relatively easily accessible to the public.
Like any streaming service, Spotify has a bunch of ways they categorize their content and make recommendations. I’ll not get into their use of collaborative filtering, word2vec, or web scraping in this post, but you can check out this video if you want an idea of how some of this works. As Spotify gobbles up recommendation services, social media apps, database managers, and music AI companies, their black-box of categorization (and thus genre) becomes ever more opaque, its proprietary algorithms/data shrouded by their very heterogeneity. Continue reading