About this episode

Hieu Le joins Kyle Polich to discuss Auto-Like, a framework for auditing recommendation systems like TikTok's content feeds.

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.

People in this episode

Host: Kyle Polich

Guest: Hieu Le

Topics covered

• recommendation systems
• reinforcement learning
• algorithm transparency
• platform accountability
• black-box auditing

Mentioned in this episode

Organizations: TikTok

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