2017
DOI: 10.1080/03007766.2017.1377588
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Race, gender, and theBillboardTop 40 charts between 1997 and 2007

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Cited by 13 publications
(8 citation statements)
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“…One of the most influential collection of music charts, the US-based Billboard charts, has been used in this context to examine the evolution of popular music and to test theories of cultural change [1]. Other approaches concentrated on the fractional representation of race and gender [2,3], on the distribution of blockbusters among superstars [4], on linguistic and psychological aspects [5,6] and on the question whether there is a trend towards a converging global popular music culture [7]. For the UK charts, a correlation analysis between musical trends, acoustic features and chart success has been performed [8].…”
Section: Introductionmentioning
confidence: 99%
“…One of the most influential collection of music charts, the US-based Billboard charts, has been used in this context to examine the evolution of popular music and to test theories of cultural change [1]. Other approaches concentrated on the fractional representation of race and gender [2,3], on the distribution of blockbusters among superstars [4], on linguistic and psychological aspects [5,6] and on the question whether there is a trend towards a converging global popular music culture [7]. For the UK charts, a correlation analysis between musical trends, acoustic features and chart success has been performed [8].…”
Section: Introductionmentioning
confidence: 99%
“…4. Lafrance et al (2018) have applied a similar statistical analysis to the success of music made by women as measured in Billboard chart data. 5.…”
Section: Fundingmentioning
confidence: 99%
“…Additionally there has been shifts over time in the lyrical composition of popular music over time, with negative words becoming more common and positive words becoming less common Brand et al (2019). Consumers are also sensitive to the gender of artists, as charting behavior is different for male and female artists Lafrance et al (2011). Finally, it is essential to examine how the construction of categories themselves constrains the choices consumers face.…”
Section: Optimal Differentiationmentioning
confidence: 99%