Playlisting favorites: Measuring platform bias in the music industry

B-Tier
Journal: International Journal of Industrial Organization
Year: 2021
Volume: 78
Issue: C

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Platforms are growing increasingly powerful, raising questions about whether their power might be exercised with bias. While bias is inherently difficult to measure, we identify a context within the music industry that is amenable to bias testing. Our approach requires ex ante platform assessments of commercial promise – such as the rank order in which products are presented – along with information on eventual product success. A platform is biased against a product type if the type attains greater success, conditional on ex ante assessment. Theoretical considerations and voiced industry concerns suggest the possibility of platform biases in favor of major record labels, and industry participants also point to bias against women. Using data on Spotify curators’ rank of songs on New Music Friday playlists in 2017, we find that Spotify’s New Music Friday rankings favor independent-label music, along with some evidence of bias in favor of music by women. Despite challenges that independent-label artists and women face in the music industry, Spotify’s New Music curation appears to favor them.

Technical Details

RePEc Handle
repec:eee:indorg:v:78:y:2021:i:c:s0167718721000588
Journal Field
Industrial Organization
Author Count
3
Added to Database
2026-01-24