Episode
AutoLike
- Podcast
- Data Skeptic
- Published
- Jun 17, 2026
- Duration seconds
- 2118
- Processing state
not_requested- Canonical source
- https://dataskeptic.com/blog/episodes/2026/autolike
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Summary
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.