Here comes the sun: music features of popular songs reflect prevailing weather conditions.

emotion media consumption mood music preferences seasons weather

Journal

Royal Society open science
ISSN: 2054-5703
Titre abrégé: R Soc Open Sci
Pays: England
ID NLM: 101647528

Informations de publication

Date de publication:
May 2023
Historique:
received: 08 11 2022
accepted: 28 02 2023
medline: 8 5 2023
pubmed: 8 5 2023
entrez: 8 5 2023
Statut: epublish

Résumé

We examine associations between prevailing weather conditions and music features in all available songs that reached the United Kingdom weekly top charts throughout a 67-year period (1953-2019), comprising 23 859 unique entries. We found that music features reflecting high intensity and positive emotions were positively associated with daily temperatures and negatively associated with rainfall, whereas music features reflecting low intensity and negative emotions were not related to weather conditions. These results held true after controlling for the mediating effects of year (temporal patterns) and month (seasonal patterns). However, music-weather associations were more nuanced than previously assumed by linear models, becoming only meaningful in those months and seasons when changes in weather were the most notable. Importantly, the observed associations depended on the popularity of the music: while songs in the top 10 of the charts exhibited the strongest associations with weather, less popular songs showed no relationship. This suggests that a song's fit with prevailing weather may be a factor pushing a song into the top of the charts. Our work extends previous research on non-musical domains (e.g. finance, crime, mental health) by showing that large-scale population-level preferences for cultural phenomena (music) are also influenced by broad environmental factors that exist over long periods of time (weather) via mood-regulation mechanisms. We discuss these results in terms of the limited nature of correlational studies and cross-cultural generalizability.

Identifiants

pubmed: 37153367
doi: 10.1098/rsos.221443
pii: rsos221443
pmc: PMC10154925
doi:

Types de publication

Journal Article

Langues

eng

Pagination

221443

Informations de copyright

© 2023 The Authors.

Déclaration de conflit d'intérêts

We declare we have no competing interests.

Références

J Affect Disord. 2018 Dec 1;241:608-626
pubmed: 30172213
R Soc Open Sci. 2018 May 16;5(5):171274
pubmed: 29892348
Science. 2019 Nov 22;366(6468):
pubmed: 31753969
R Soc Open Sci. 2021 Nov 10;8(11):210885
pubmed: 34804568
J Pers Soc Psychol. 2003 Jun;84(6):1236-56
pubmed: 12793587
Front Psychol. 2013 Aug 13;4:511
pubmed: 23964257
Q J Exp Psychol (Hove). 2023 May;76(5):1177-1194
pubmed: 35786153
J Exp Psychol Gen. 2015 Dec;144(6):1053-62
pubmed: 26347945
West J Emerg Med. 2012 Aug;13(3):239-46
pubmed: 22900121
J Affect Disord. 2019 Sep 1;256:584-593
pubmed: 31299439
J Pers Soc Psychol. 2013 Oct;105(4):703-17
pubmed: 23895269
J Pers Soc Psychol. 2003 Aug;85(2):348-62
pubmed: 12916575
J Affect Disord. 2021 Sep 1;292:405-415
pubmed: 34144365
Am J Psychol. 2010 Summer;123(2):199-208
pubmed: 20518436
Psychol Sci. 2010 Mar;21(3):448-55
pubmed: 20424083
Nat Hum Behav. 2019 Mar;3(3):230-236
pubmed: 30953008
Behav Brain Sci. 2008 Oct;31(5):559-75; discussion 575-621
pubmed: 18826699

Auteurs

Manuel Anglada-Tort (M)

Faculty of Music, University of Oxford, Oxford, UK.
Computational Auditory Perception Group, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany.

Harin Lee (H)

Computational Auditory Perception Group, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany.
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Amanda E Krause (AE)

Department of Psychology, James Cook University, Townsville, Australia.

Adrian C North (AC)

School of Population Health, Curtin University, Perth, Australia.

Classifications MeSH