Filter Bubbles And Music Streaming: The Influence of Personalization And Recommendation Algorithms on Music Discovery Via Streaming Platforms

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Abstract/Contents

Abstract: As music streaming continues to rise in popularity, researchers should analyze the implications of streaming personalization and recommendation algorithms. This study explores how streaming algorithms influence the way that users discover and appreciate music, with a hypothesis that streaming platforms operate as filter bubbles that limit the user’s exposure to diversity. I surveyed over 100 people on their streaming discovery habits. I found that participants were likely to discover music via curated and/or recommended playlists. I also found that respondents with different language abilities searched for, encountered, and reacted to non-English songs differently. My observations, alongside the available literature, suggest that filter bubbles cause music discovery on streaming platforms to differ from music discovery in a public sphere. Furthermore, due to the opacity of streaming personalization algorithms, streaming users may not realize that their discovery is limited to such filter bubbles.

Type of resource	text
Date created	2018

Author	McClung, Madison Grace
Primary advisor	Christin, Angèle
Degree granting institution	Stanford University, Department of Communication

Subject	music streaming
Subject	discovery
Subject	filter bubbles
Subject	Spotify
Subject	public sphere
Subject	media studies
Subject	music media
Subject	diversity
Subject	Stanford University
Subject	Stanford University Department of Communication and Journalism
Genre	Thesis

Location	https://purl.stanford.edu/qb068jm4722

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License: This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

Preferred Citation: McClung, Madison Grace. (2018). Filter Bubbles And Music Streaming: The Influence of Personalization And Recommendation Algorithms on Music Discovery Via Streaming Platforms. Stanford Digital Repository. Available at: https://purl.stanford.edu/qb068jm4722

Masters Theses in Media Studies, Department of Communication, Stanford University

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