Musical trends and predictability of success in contemporary songs in and out of the top charts
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Article number | 171274 |
Journal / Publication | Royal Society Open Science |
Volume | 5 |
Issue number | 5 |
Online published | 16 May 2018 |
Publication status | Published - May 2018 |
Externally published | Yes |
Link(s)
DOI | DOI |
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Attachment(s) | Documents
Publisher's Copyright Statement
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85047137318&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(5296270b-728c-47bf-9784-29b5f957731e).html |
Abstract
We analyse more than 500 000 songs released in the UK between 1985 and 2015 to understand the dynamics of success (defined as ‘making it’ into the top charts), correlate success with acoustic features and explore the predictability of success. Several multi-decadal trends have been uncovered. For example, there is a clear downward trend in ‘happiness’ and ‘brightness’, as well as a slight upward trend in ‘sadness’. Furthermore, songs are becoming less ‘male’. Interestingly, successful songs exhibit their own distinct dynamics. In particular, they tend to be ‘happier’, more ‘party-like’, less ‘relaxed’ and more ‘female’ than most. The difference between successful and average songs is not straightforward. In the context of some features, successful songs pre-empt the dynamics of all songs, and in others they tend to reflect the past. We used random forests to predict the success of songs, first based on their acoustic features, and then adding the ‘superstar’ variable (informing us whether the song’s artist had appeared in the top charts in the near past). This allowed quantification of the contribution of purely musical characteristics in the songs’ success, and suggested the time scale of fashion dynamics in popular music.
© 2018 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
© 2018 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
Research Area(s)
- Complex social dynamics, Music evolution, Temporal trends
Bibliographic Note
Publisher Copyright:
© 2018 The Authors.
Citation Format(s)
Musical trends and predictability of success in contemporary songs in and out of the top charts. / Interiano, Myra; Kazemi, Kamyar; Wang, Lijia et al.
In: Royal Society Open Science, Vol. 5, No. 5, 171274, 05.2018.
In: Royal Society Open Science, Vol. 5, No. 5, 171274, 05.2018.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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