Spotify and “Discover Weekly”
algorithmic recommendation as a substrate for music taste construction
DOI:
https://doi.org/10.15448/1980-3729.2025.1.46406Keywords:
Platform Studies, Spotify, Recommender Systems, Discover Weekly Playlist, X/TwitterAbstract
: From Platform Studies, we propose an analysis of the personalization processes established by Spotify through its playlist “Discover Weekly” in relation to its listeners. In addition to presenting how the platform defines the songs that will be included in the playlist, we analyzed the content of 2,215 tweets to understand what users say about these deliveries. Our results indicate that just over half of the posts (54.1% or 1,199 tweets) contain statements of self-recognition in the discoveries they make, 430 neutral tweets (19.4%), and 586 tweets (26.5%) that resist and challenge the model developed by Spotify, where such controversies complicate the notion of taste established by the platform. We conclude by pointing out that users adopt algorithmic logic as a constituent element in the elaboration of their own taste.
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