Does social media pay for music artists? Quantitative evidence on the co-evolution of social media, streaming and live music
Recent commentaries on the music industry have emphasised the importance of social media in creating a monetisable fan base. However, no quantitative evidence yet exists regarding the correlation between social media follower numbers and artist income. Using a unique dataset of 255 artists signed to a large UK-based independent music publisher, we undertake growth curve modelling to provide a novel quantitative analysis of the correlation between following across major social media and streaming platforms and royalty income from music rights. Findings from our modelling suggest that while there is no correlation between numbers of followers on major social media platforms and an artist’s total royalty earnings, there is a strong correlation between numbers of followers and royalties from music streaming specifically. Set in the context of the high level of income precarity being experienced amongst independent artists, this finding suggests that a positive co-evolution is occurring between social media platforms and music streaming with potentially significant increases in artist royalty incomes resulting from increases in followers. Similarly, our modelling identifies a strong correlation between an artist’s following on streaming platforms and total live music royalties, supporting the notion of a positive co-evolution between streaming and live music incomes.
Funding
Innovate UK [grant number KTP011010]
History
School
- Social Sciences and Humanities
Department
- Communication and Media
- Geography and Environment
Published in
Journal of Cultural EconomyVolume
16Issue
1Pages
32-46Publisher
Taylor & FrancisVersion
- VoR (Version of Record)
Rights holder
© The AuthorsPublisher statement
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.Acceptance date
2022-06-02Publication date
2022-09-15Copyright date
2022ISSN
1753-0350eISSN
1753-0369Publisher version
Language
- en