“Evacuate the dancefloor”: Exploring and classifying spotify music listening before and during the COVID-19 pandemic in DACH countries
„Evacuate the Dancefloor“: Exploration und Klassifizierung von Spotify-Hörverhalten vor und während der COVID-19-Pandemie in den DACH-Ländern
Author(s) / Creator(s)
Kalustian, Kework K.
Ruth, Nicolas
Abstract / Description
: Many people used musical media via music streaming service providers to cope with the limitations of the COVID-19 pandemic. Accounting for such behavior from the perspective of uses-and-gratifications theory and situated cognition yields reliable explanations regarding people’s active and goal-oriented use of musical media. We accessed Spotify’s daily top 200 charts and their audio features from the DACH countries for the period during the first lockdown in 2020 and a comparable non-pandemic period situation in 2019 to support those theoretical explanations quantitatively with open data. After exploratory data analyses, applying a k-means clustering algorithm across the DACH countries allowed us to reduce the dimensionality of selected audio features. Following these clustering results, we discuss how these clusters are explainable using the arousal-valence-circumplex model and possibly be understood as (gratification) potentials that listeners can interact with to modulate their moods and thus emotionally cope with the stress of the pandemic. Then, we modeled a cross-validated binary SVM classifier to classify the two periods based on the extracted clusters and the remaining manifest variables (e.g., chart position) as input variables. The final test scenario of the classification task yielded high overall accuracy in classifying the periods as distinguishable classes. We conclude that these demonstrated approaches are generally suitable to classify the two periods based on the extracted mood clusters and the other input variables, and furthermore to interpret, by considering the model-related caveats, everyday music listening via those proxy variables as an emotion-focused coping strategy during the COVID-19 pandemic in DACH countries.
Keyword(s)
API COVID-19 interpretable machine learning k-means clustering popular music SVM classifier streaming behavior API COVID-19 interpretierbares maschinelles Lernen k-Means Clustering populäre Musik SVM-Klassifikator Streaming-HörverhaltenPersistent Identifier
Date of first publication
2021-09-24
Journal title
Jahrbuch Musikpsychologie
Volume
30
Article number
Article e95
Publisher
PsychOpen GOLD
Publication status
publishedVersion
Review status
peerReviewed
Is version of
Citation
Kalustian, K. K., & Ruth, N. (2021). “Evacuate the dancefloor”: Exploring and classifying spotify music listening before and during the COVID-19 pandemic in DACH countries. Jahrbuch Musikpsychologie, 30, Article e95. https://doi.org/10.5964/jbdgm.95
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jbdgm.v30i1.95.pdfAdobe PDF - 2.25MBMD5: 276fe91526201bdf460fb270a7b209cc
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There are no other versions of this object.
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Author(s) / Creator(s)Kalustian, Kework K.
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Author(s) / Creator(s)Ruth, Nicolas
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PsychArchives acquisition timestamp2022-04-14T11:21:24Z
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Made available on2022-04-14T11:21:24Z
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Date of first publication2021-09-24
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Abstract / Description: Many people used musical media via music streaming service providers to cope with the limitations of the COVID-19 pandemic. Accounting for such behavior from the perspective of uses-and-gratifications theory and situated cognition yields reliable explanations regarding people’s active and goal-oriented use of musical media. We accessed Spotify’s daily top 200 charts and their audio features from the DACH countries for the period during the first lockdown in 2020 and a comparable non-pandemic period situation in 2019 to support those theoretical explanations quantitatively with open data. After exploratory data analyses, applying a k-means clustering algorithm across the DACH countries allowed us to reduce the dimensionality of selected audio features. Following these clustering results, we discuss how these clusters are explainable using the arousal-valence-circumplex model and possibly be understood as (gratification) potentials that listeners can interact with to modulate their moods and thus emotionally cope with the stress of the pandemic. Then, we modeled a cross-validated binary SVM classifier to classify the two periods based on the extracted clusters and the remaining manifest variables (e.g., chart position) as input variables. The final test scenario of the classification task yielded high overall accuracy in classifying the periods as distinguishable classes. We conclude that these demonstrated approaches are generally suitable to classify the two periods based on the extracted mood clusters and the other input variables, and furthermore to interpret, by considering the model-related caveats, everyday music listening via those proxy variables as an emotion-focused coping strategy during the COVID-19 pandemic in DACH countries.en_US
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Publication statuspublishedVersion
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Review statuspeerReviewed
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CitationKalustian, K. K., & Ruth, N. (2021). “Evacuate the dancefloor”: Exploring and classifying spotify music listening before and during the COVID-19 pandemic in DACH countries. Jahrbuch Musikpsychologie, 30, Article e95. https://doi.org/10.5964/jbdgm.95en_US
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ISSN2569-5665
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/5438
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.6042
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Language of contenteng
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PublisherPsychOpen GOLD
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Is version ofhttps://doi.org/10.5964/jbdgm.95
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Is related tohttps://doi.org/10.23668/psycharchives.5020
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Is related tohttps://doi.org/10.23668/psycharchives.5018
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Keyword(s)APIen_US
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Keyword(s)COVID-19en_US
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Keyword(s)interpretable machine learningen_US
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Keyword(s)k-means clusteringen_US
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Keyword(s)popular musicen_US
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Keyword(s)SVM classifieren_US
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Keyword(s)streaming behavioren_US
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Keyword(s)APIde_DE
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Keyword(s)COVID-19de_DE
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Keyword(s)interpretierbares maschinelles Lernende_DE
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Keyword(s)k-Means Clusteringde_DE
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Keyword(s)populäre Musikde_DE
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Keyword(s)SVM-Klassifikatorde_DE
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Keyword(s)Streaming-Hörverhaltende_DE
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Dewey Decimal Classification number(s)150
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Title“Evacuate the dancefloor”: Exploring and classifying spotify music listening before and during the COVID-19 pandemic in DACH countriesen_US
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Alternative title„Evacuate the Dancefloor“: Exploration und Klassifizierung von Spotify-Hörverhalten vor und während der COVID-19-Pandemie in den DACH-Ländernde_DE
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DRO typearticle
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Article numberArticle e95
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Journal titleJahrbuch Musikpsychologie
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Volume30
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Visible tag(s)Version of Recorden_US