Spotify's algorithmically generated playlists cater to users' moods and preferences, but often recycle familiar songs, limiting music discovery. This change from human-curated playlists to machine-driven ones started in 2021. Critics argue this model restricts exposure to new artists and narrows music taste, while advocates believe it helps artists connect with their audiences. A personal experiment of quitting Spotify for a month revealed the importance of diverse music exploration, inspired by the experiences of previous generations who engaged with music more diversely.
A decade ago, Spotify favoured human-curated playlists made by artists, celebrities and music aficionados. But in 2021, the streaming company pivoted towards machine learning, feeding nearly half a trillion events into computer models every day.
Advocates argue this is a chance to democratise music promotion, neatly matching artists with their audiences. Critics suggest this ultra-subjective experience limits musical discovery to the already familiar.
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