Women in Music Industry Roles: A Twenty-Year Analysis

Bridges C, Strong H, Overton ABJ. Women in Music Industry Roles: A Twenty-Year Analysis. In: AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020). Audio Engineering Society; 2020.pp. 10497:1-10. Available from: https://aes.org/publications/elibrary-page/?id=21174

@inproceedings{Bridges2020_21174,
  author = {Bridges, Chandler and Strong, Haley and Overton, Aaron, Berish, Justin},
  title = {{Women in Music Industry Roles: A Twenty-Year Analysis}},
  booktitle = {AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)},
  pages = {10497:1-10},
  year = {2020},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21174}
}

TY  - CPAPER
TI  - Women in Music Industry Roles: A Twenty-Year Analysis
AU  - Bridges, Chandler
AU  - Strong, Haley
AU  - Overton, Aaron, Berish, Justin
T2  - AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)
SP  - 1
EP  - 10
M1  - Paper 10497
PY  - 2020
DA  - 2020/08/06
UR  - https://aes.org/publications/elibrary-page/?id=21174
PB  - Audio Engineering Society
LA  - en
AB  - This research analyzed the gender distribution of the songwriters, producers, and performers of chart-topping music for the 21st century, over a twenty-year period. Some studies have suggested that women are vastly under-represented, however, this amount of data has not been cited nor analyzed previously. Selected from all 21st century songs in Billboard magazine’s Hot 100 end-of-year charts (N=210), this research analyzed gender distribution of these participants (N=1624). While the results are indicative of previously reported trends showing women holding a small percentage of creative roles in popular charting music, the data indicate an upward momentum of women holding credited positions on top albums. The discussion includes further results and educational implications as well as reifying how these data are rapidly changing.
ER  -