The Impact of Social Media on Music Demand: Evidence from Quasi-Natural Experiments

Daniel Winkler, Christian Hotz-Behofsits, Nils Wl\"omert, Dominik Papies and J\=ura Liaukonyt\.e

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Abstract: We study how TikTok affects demand for music on paid streaming platforms. We use two quasi-exogenous disruptions to TikTok access that generate independent variation in exposure: Universal Music Group's (UMG) global withdrawal of its catalog from TikTok in February 2024, and the 2025 U.S. TikTok outage and subsequent install restriction. Across both settings, we reach the same bottom-line conclusion: reductions in TikTok access lower off-platform streaming demand. Recent work using the UMG setting reaches mixed conclusions about whether TikTok primarily promotes or cannibalizes streaming demand. We show that these findings can be reconciled once we account for power-law-like concentration in exposure (10% of songs account for 95% of TikTok creations) and that, in such environments, common DiD implementations (levels, log, and Poisson) target different estimands and impose different counterfactual trend restrictions. We document sharp heterogeneity: the typical long-tail song exhibits little change when TikTok access is removed, while highly viral titles experience meaningful declines in Spotify streams. Because the viral head accounts for a disproportionate share of total listening and revenue, these losses drive the market-level implications. The evidence is consistent with a mechanism in which TikTok operates as an upstream source of discovery and Spotify playlists act as a downstream amplification layer: declines increase with TikTok virality, UMG songs with no prior TikTok exposure show null effects, and UMG songs accumulate fewer followers on Spotify curated playlists. We also document downstream consequences for rights holders, with UMG songs becoming less likely to reach top charts.

Date: 2024-05, Revised 2026-01
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