Is Czech Spotify gender-biased? Alžběta Křížková Abstract This thesis analyses the gender inequality of music streaming platform Spotify. It focuses on Czech Spotify, ergo, on the Czech music industry between May 2020 and March 2021. The interdisciplinary study covers crucial theoretical concepts from the theory of platforms, popular music, and gender studies. It verifies whether the theory built on Anglo-Saxon tradition can be applied to the local setting. The dataset comprises of songs placed in the "TOP 200" chart and select editorial playlists. The chart illustrates song popularity based on listeners (organic listening), and chosen editorial playlists indicate the platform's promotion of songs (suggested listening). The gender gap analysis is based on a comparison of three gender ratios of songs entering the platform in total, in the playlists, and songs that make it to the chart. The empirical research utilises fundamental statistics and presents various song aspects (genre, record label, band formation, and others) in relation to artists' gender on Spotify, but also in the Czech music industry. The results show a low representation of female artists in the whole industry, while the platform actively promotes female artists via suggested listening. Organic listening endorses gender stereotypes and...
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:447913 |
| Date | January 2021 |
| Creators | Křížková, Alžběta |
| Contributors | Hroch, Miloš, Lütke Notarp, Ulrike |
| Source Sets | Czech ETDs |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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