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Organizing music, organizing gender: Algorithmic culture and Spotify recommendations
Department of Gender Studies, Södertörn University, Huddinge, Sweden.ORCID iD: 0000-0002-2540-8497
2020 (English)In: Popular Communication, ISSN 1540-5702, E-ISSN 1540-5710, Vol. 18, no 1, p. 78-90Article in journal (Refereed) Published
Abstract [en]

Spotify is self-reporting to have 232 million monthly active users in July 2019, including 108 million paying subscribers. Often naturalized by listeners as a mere window into great collections of music, Spotify is an intricate network of music recommendations governed by algorithms, displayed as a visual interface of photos, text, clickable links, and graphics. With the aim to analyze how three Spotify functions, related artists, discover, and browse, organize and represent gender while organizing and representing music Spotify is here investigated through empirical material collected in qualitative online ethnographic studies during 2013–2015. The article problematizes how music is organized in algorithmic culture and uncovers gendering that can ensue as a result of the service’s recommendation algorithms: creating closer circles for music consumption, and organizing music by similarities in genre and gender.

Place, publisher, year, edition, pages
Taylor & Francis, 2020. Vol. 18, no 1, p. 78-90
Keywords [en]
Music, gender, genre, algorithmic culture, streaming services, Spotify
National Category
Gender Studies
Research subject
Critical and Cultural Theory
Identifiers
URN: urn:nbn:se:uu:diva-491600DOI: 10.1080/15405702.2020.1715980ISI: 000507946100001Scopus ID: 2-s2.0-85078591565OAI: oai:DiVA.org:uu-491600DiVA, id: diva2:1721554
Funder
Riksbankens Jubileumsfond, P11-0687:1Available from: 2022-12-22 Created: 2022-12-22 Last updated: 2023-06-21Bibliographically approved

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Werner, Ann

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