Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157068
Title: Unemployment rate predicts anger in popular music lyrics: evidence from top 10 songs in the United States and Germany from 1980 to 2017
Authors: Qiu. Lin
Chan, Sarah Hian May
Ito, Kenichi
Sam, Joyce Yan Ting
Keywords: Social sciences::Sociology
Issue Date: 2021
Source: Qiu. Lin, Chan, S. H. M., Ito, K. & Sam, J. Y. T. (2021). Unemployment rate predicts anger in popular music lyrics: evidence from top 10 songs in the United States and Germany from 1980 to 2017. Psychology of Popular Media, 10(2), 256-266. https://dx.doi.org/10.1037/ppm0000282
Journal: Psychology of Popular Media
Abstract: Popular music has been shown to reflect cultural characteristics and psychological change in a society. However, little is known about how popular songs are related to the socioeconomic conditions. In this research, we analyzed the annual top 10 songs from United States and Germany between 1980 and 2017, and found that the unemployment rate predicted the amount of anger but not anxiety or sadness in lyrics in both countries. Our research contributes to the literature on popular media culture by revealing that top song lyrics may reflect public sentiment toward the socioeconomic environment. It highlights the possibility of using top song lyrics as an alternative measure of public sentiments. (PsycInfo Database Record (c) 2021 APA, all rights reserved)
URI: https://hdl.handle.net/10356/157068
ISSN: 2689-6567
DOI: 10.1037/ppm0000282
Rights: © 2020 American Psychological Association. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:IGS Journal Articles
SSS Journal Articles

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