Abstract
Music has always been an integral part of our everyday lives through which we express feelings, emotions, and concepts. Here, we explore the association between music genres, demographics and moral values employing data from an ad-hoc online survey and the Music Learning Histories Dataset. To further characterise the music preferences of the participants the generalist/specialist (GS) score employed. We exploit both classification and regression approaches to assess the predictive power of music preferences for the prediction of demographic attributes as well as the moral values of the participants. Our findings point out that moral values are hard to predict (.62 \(AUROC_{avg}\)) solely by the music listening behaviours, while if basic sociodemographic information is provided the prediction score rises to 4% on average (.66 \(AUROC_{avg}\)), with the Purity foundation to be the one that is steadily the one with the highest accuracy scores. Similar results are obtained from the regression analysis. Finally, we provide with insights on the most predictive music behaviours associated with each moral value that can inform a wide range of applications from rehabilitation practices to communication campaign design.
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Acknowledgments
This work was supported by the QMUL Centre for Doctoral Training in Data-informed Audience-centric Media Engineering (2021–2025) as part of a PhD studentship awarded to VP. KK acknowledges support from the “Lagrange Project” of the ISI Foundation, funded by the CRT Foundation. We would like to thank Dr. Robert Raleigh for providing the survey data, and the two anonymous reviewers for their thoughtful comments.
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Preniqi, V., Kalimeri, K., Saitis, C. (2023). Modelling Moral Traits with Music Listening Preferences and Demographics. In: Aramaki, M., Hirata, K., Kitahara, T., Kronland-Martinet, R., Ystad, S. (eds) Music in the AI Era. CMMR 2021. Lecture Notes in Computer Science, vol 13770 . Springer, Cham. https://doi.org/10.1007/978-3-031-35382-6_14
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DOI: https://doi.org/10.1007/978-3-031-35382-6_14
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