📑 arXiv 2d ago
Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curation
540,000 simulated content selections across three major LLM providers and three social platforms reveal structural content selection biases that differ substantially in how they respond to prompting strategies. While biases vary across providers and platforms, certain patterns persist robustly, with implications for LLM-based content curation and recommendation systems.