What's "Up Next"? Investigating Algorithmic Recommendations on YouTube Across Issues and Over Time

Abstract: YouTube's "up next" feature algorithmically selects, suggests, and displays videos to watch after the one that is currently playing. This feature has been criticized for limiting users' exposure to a range of diverse media content and information sources; meanwhile, YouTube has reported that they have implemented various technical and policy changes to address these concerns. However, there is little publicly available data to support either the existing concerns or YouTube's claims of having addressed them. Drawing on the idea of "platform observability", this article combines computational and qualitative methods to investigate the types of content that the algorithms underpinning YouTube's "up next" feature amplify over time, using three keyword search terms associated with sociocultural issues where concerns have been raised about YouTube’s role: "coronavirus", "feminism" and "beauty". Over six weeks, we collected the videos (and their metadata, including channel IDs) that were

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch
• Anmerkungen: Veröffentlichungsversion ; begutachtet (peer reviewed) ; In: Media and Communication ; 9 (2021) 4 ; 234-249

Beteiligte, Orts- und Zeitangaben

• Ereignis: Veröffentlichung
• (wo): Mannheim
• (wer): SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.
• (wann): 2021
• Urheber: Matamoros-Fernández, Ariadna ; Gray, Joanne E. ; Bartolo, Louisa ; Burgess, Jean ; Suzor, Nicolas

Weitere Informationen

• DOI: 10.17645/mac.v9i4.4184
• URN: urn:nbn:de:101:1-2023010509440040087277
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 21.04.2025, 20:05 MESZ