AutoLike
Podcast: Data SkepticPublished On: Wed Jun 17 2026
Description: 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.
The note was deleted
The note was saved
Your message was sent