podcast
Data Skeptic
June 17th, 2026 at 6:00 PM

AutoLike

How can researchers audit recommendation systems when the algorithms are hidden from view? Hieu Le joins Kyle Polich to discuss Auto-Like, a reinforcement learning framework that systematically explores how platforms like TikTok personalize content feeds. The conversation covers recommendation transparency, black-box auditing, and the future of platform accountability.

#research

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Canonical link: https://dataskeptic.com/blog/episodes/2026/autolike