Artist gender representation in music streaming

Abstract

This study examines gender representation in current music streaming, utilizing one of the world’s largest streaming services. First, we found listeners generally stream fewer female or mixed-gender creator groups than male artists, with differences per genre. Second, while still relatively low, we found that recommendation-based streaming has a slightly higher proportion of female creators than “organic” listening (ie, tracks that are not recommended by editors or algorithms). Third, we examined streaming data from 200,000 US users to determine the proportion of female artists in organic and recommended streams over a 28-day period and the relationship between recommended streams and users’ future organic listening. The proportion of female artists in recommended streaming appears predictive of the proportion of female artists in organic streaming; these effects are moderated by gender and age. Fourth, this study also samples creators across different popularity levels, seeing more female and multi-gender groups at lower levels than in the middle tiers. However,(solo) female artists are better represented again in the superstars category, suggesting influence of selected superstars and genres. We conclude by discussing potential avenues in algorithmic

Related

November 2024 | EPJ Data Science

Consumption-based approaches in proactive detection for content moderation

Shahar Elisha, John N. Pougué-Biyong, Mariano Beguerisse-Díaz

November 2024 | SIAM Journal on Mathematics of Data Science

Topological Fingerprints for Audio Identification

Wojciech Reise, Ximena Fernández, Maria Dominguez, Heather A. Harrington, Mariano Beguerisse-Díaz

October 2024 | Journal of Online Trust & Safety

Algorithmic Impact Assessments at Scale: Practitioners’ Challenges and Needs

Amar Ashar, Karim Ginena, Maria Cipollone, Renata Barreto, Henriette Cramer