Measuring national mood with music: using machine learning to construct a measure of national valence from audio data

We propose a new measure of national valence based on the emotional content of a country’s most popular songs. We first trained a machine learning model using 191 different audio features embedded within music and use this model to construct a long-run valence index for the UK. This index correlates...

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Detalles Bibliográficos
Autores principales: Benetos, Emmanouil, Ragano, Alessandro, Sgroi, Daniel, Tuckwell, Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876081/
https://www.ncbi.nlm.nih.gov/pubmed/35212936
http://dx.doi.org/10.3758/s13428-021-01747-7
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author Benetos, Emmanouil
Ragano, Alessandro
Sgroi, Daniel
Tuckwell, Anthony
author_facet Benetos, Emmanouil
Ragano, Alessandro
Sgroi, Daniel
Tuckwell, Anthony
author_sort Benetos, Emmanouil
collection PubMed
description We propose a new measure of national valence based on the emotional content of a country’s most popular songs. We first trained a machine learning model using 191 different audio features embedded within music and use this model to construct a long-run valence index for the UK. This index correlates strongly and significantly with survey-based life satisfaction and outperforms an equivalent text-based measure. Our methods have the potential to be applied widely and to provide a solution to the severe lack of historical time-series data on psychological well-being. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.3758/s13428-021-01747-7.
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spelling pubmed-88760812022-02-25 Measuring national mood with music: using machine learning to construct a measure of national valence from audio data Benetos, Emmanouil Ragano, Alessandro Sgroi, Daniel Tuckwell, Anthony Behav Res Methods Article We propose a new measure of national valence based on the emotional content of a country’s most popular songs. We first trained a machine learning model using 191 different audio features embedded within music and use this model to construct a long-run valence index for the UK. This index correlates strongly and significantly with survey-based life satisfaction and outperforms an equivalent text-based measure. Our methods have the potential to be applied widely and to provide a solution to the severe lack of historical time-series data on psychological well-being. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.3758/s13428-021-01747-7. Springer US 2022-02-25 2022 /pmc/articles/PMC8876081/ /pubmed/35212936 http://dx.doi.org/10.3758/s13428-021-01747-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Benetos, Emmanouil
Ragano, Alessandro
Sgroi, Daniel
Tuckwell, Anthony
Measuring national mood with music: using machine learning to construct a measure of national valence from audio data
title Measuring national mood with music: using machine learning to construct a measure of national valence from audio data
title_full Measuring national mood with music: using machine learning to construct a measure of national valence from audio data
title_fullStr Measuring national mood with music: using machine learning to construct a measure of national valence from audio data
title_full_unstemmed Measuring national mood with music: using machine learning to construct a measure of national valence from audio data
title_short Measuring national mood with music: using machine learning to construct a measure of national valence from audio data
title_sort measuring national mood with music: using machine learning to construct a measure of national valence from audio data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876081/
https://www.ncbi.nlm.nih.gov/pubmed/35212936
http://dx.doi.org/10.3758/s13428-021-01747-7
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