| dc.contributor.author | Benetos, E | |
| dc.contributor.author | Ragano, A | |
| dc.contributor.author | Sgroi, D | |
| dc.contributor.author | Tuckwell, A | |
| dc.date.accessioned | 2021-11-08T15:54:21Z | |
| dc.date.available | 2021-11-06 | |
| dc.date.available | 2021-11-08T15:54:21Z | |
| dc.identifier.issn | 1554-351X | |
| dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/75092 | |
| dc.description.abstract | 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. | en_US |
| dc.publisher | Springer (part of Springer Nature) | en_US |
| dc.relation.ispartof | Behavior Research Methods | |
| dc.rights | This 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/. | |
| dc.title | Measuring National Mood with Music: Using Machine Learning to Construct a Measure of National Valence from Audio Data | en_US |
| dc.type | Article | en_US |
| dc.rights.holder | © 2022, The Author(s). Published by Springer | |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Accepted | en_US |
| dcterms.dateAccepted | 2021-11-06 | |
