A song for each moment: Identifying listening modes as reflexive practices in music streaming

In addition to personal and contextual reasons for listening to music, users of music streaming services also receive constant recommendations from these platforms’ algorithmic systems. In this article, I explore, from a critical realist perspective, how users reflect on and decide what to listen to...

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Main Author: Sebastian Cole
Format: Article
Language:English
Published: SAGE Publishing 2025-06-01
Series:Big Data & Society
Online Access:https://doi.org/10.1177/20539517251338742
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author Sebastian Cole
author_facet Sebastian Cole
author_sort Sebastian Cole
collection DOAJ
description In addition to personal and contextual reasons for listening to music, users of music streaming services also receive constant recommendations from these platforms’ algorithmic systems. In this article, I explore, from a critical realist perspective, how users reflect on and decide what to listen to in various contexts. First, the article develops a framework for understanding reflexive decision-making in the context of music streaming. Then, based on interviews with Spotify users and an analysis of their donated streaming histories, three listening modes are identified based on what motivates music choices and how the users interact with the platform's content. Findings suggest that in addition to the platform's recommendations, users reflexively choose music to fit their contexts, emotions and goals based on their previous experiences, striking a balance between conscious and habitual music listening.
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spelling doaj-art-316ec4a1df204e3bb4feebf24ce14da02025-08-20T01:48:29ZengSAGE PublishingBig Data & Society2053-95172025-06-011210.1177/20539517251338742A song for each moment: Identifying listening modes as reflexive practices in music streamingSebastian ColeIn addition to personal and contextual reasons for listening to music, users of music streaming services also receive constant recommendations from these platforms’ algorithmic systems. In this article, I explore, from a critical realist perspective, how users reflect on and decide what to listen to in various contexts. First, the article develops a framework for understanding reflexive decision-making in the context of music streaming. Then, based on interviews with Spotify users and an analysis of their donated streaming histories, three listening modes are identified based on what motivates music choices and how the users interact with the platform's content. Findings suggest that in addition to the platform's recommendations, users reflexively choose music to fit their contexts, emotions and goals based on their previous experiences, striking a balance between conscious and habitual music listening.https://doi.org/10.1177/20539517251338742
spellingShingle Sebastian Cole
A song for each moment: Identifying listening modes as reflexive practices in music streaming
Big Data & Society
title A song for each moment: Identifying listening modes as reflexive practices in music streaming
title_full A song for each moment: Identifying listening modes as reflexive practices in music streaming
title_fullStr A song for each moment: Identifying listening modes as reflexive practices in music streaming
title_full_unstemmed A song for each moment: Identifying listening modes as reflexive practices in music streaming
title_short A song for each moment: Identifying listening modes as reflexive practices in music streaming
title_sort song for each moment identifying listening modes as reflexive practices in music streaming
url https://doi.org/10.1177/20539517251338742
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