Audit

An Empirical Investigation of Personalization Factors on TikTok

First empirical audit of TikTok's recommendation algorithm using sock-puppet methodology, testing how language, location, follows, likes, and watch duration shape content recommendations. Follow-behavior is the dominant personalization signal, and all tested factors contribute to filter bubble formation.