Aidan Combs

Aidan Combs studies political polarization, social media, and how people perceive social categories like gender, occupation, and demographics, often using computational tools including large language models (LLMs) and field experiments. Recent work examines how AI systems handle annotation tasks involving demographic and emotional labeling, how political conversations shape polarization, and how occupations carry social meaning and prestige. The research combines social psychology, computational social science, and text/data analysis methods.

Publication output was minimal or absent in the mid-2010s but has grown markedly since 2022, peaking with seven publications in 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026