Auditing Algorithmic Personalization in TikTok Comment Sections
Personalization algorithms are ubiquitous in modern social computing systems, yet their effects on comment sections remain underexplored. In this work, we conducted an algorithmic auditing experiment to examine comment personalization on TikTok. We trained sock-puppet accounts to exhibit left-leaning or right-leaning preferences and successfully validated 17 of them by analyzing the videos recommended on their For You Pages. We then scraped the comment sections shown to these trained partisan ac
Record details
Published: 26 March 2026
Source: arXiv
Category: Research
Topics: Transparency
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (26 March 2026), “Auditing Algorithmic Personalization in TikTok Comment Sections,” evidence record 6719, https://ethics.ai/record/6719 (originally published by arXiv).
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