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dc.contributor.authorAnglada-Tort, Men_US
dc.contributor.authorKrause, AEen_US
dc.contributor.authorNorth, ACen_US
dc.date.available2019-10-24T22:45:01Z
dc.date.issued2019-10-23en_US
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000492125000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1cen_US
dc.identifierUNSP 0305735619871602en_US
dc.identifier.citationAnglada-Tort, M; Krause, AE; North, AC, Popular music lyrics and musicians' gender over time: A computational approach, PSYCHOLOGY OF MUSIC, 2019en_US
dc.identifier.issn0305-7356en_US
dc.identifier.urihttp://hdl.handle.net/11343/230675
dc.description.abstractThe present study investigated how the gender distribution of the United Kingdom’s most popular artists has changed over time and the extent to which these changes might relate to popular music lyrics. Using data mining and machine learning techniques, we analysed all songs that reached the UK weekly top 5 sales charts from 1960 to 2015 (4,222 songs). DICTION software facilitated a computerised analysis of the lyrics, measuring a total of 36 lyrical variables per song. Results showed a significant inequality in gender representation on the charts. However, the presence of female musicians increased significantly over the time span. The most critical inflection points leading to changes in the prevalence of female musicians were in 1968, 1976, and 1984. Linear mixed-effect models showed that the total number of words and the use of self-reference in popular music lyrics changed significantly as a function of musicians’ gender distribution over time, and particularly around the three critical inflection points identified. Irrespective of gender, there was a significant trend towards increasing repetition in the lyrics over time. Results are discussed in terms of the potential advantages of using machine learning techniques to study naturalistic singles sales charts data.
dc.languageEnglishen_US
dc.publisherSAGE PUBLICATIONS INCen_US
dc.titlePopular music lyrics and musicians' gender over time: A computational approachen_US
dc.typeJournal Article
dc.identifier.doi10.1177/0305735619871602en_US
melbourne.affiliation.departmentMelbourne Conservatorium of Music
melbourne.source.titlePSYCHOLOGY OF MUSICen_US
melbourne.elementsid1419374
pubs.publication-statusPublisheden_US
melbourne.contributor.authorKrause, Amanda
melbourne.contributor.orcidKrause, Amanda E [0000-0003-3049-9220]
melbourne.accessrightsOpen Access


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