PA · 2026
When AI models look at a political campaign photo, do they make assumptions about the candidate's ideology based on race or gender — even when the ad itself is completely neutral? …
AJPS · 2026
In linguistically diverse democracies, do political parties actually bother to speak minority languages — or do they just stick to the dominant tongue? This paper analyzes Facebook …
PSRM · 2026
Examines how political polarization and populism shape the emotional responses of citizens to election outcomes. The study finds that while polarization amplifies emotional …
IMC 2026 · 2026
A large-scale longitudinal study issuing 55,393 trending queries to Google over 40 days to measure when AI Overviews activate, how credible their sources are, how faithfully they …
PSRM · 2025
Proposes a framework for evaluating the validity and trustworthiness of measures created using supervised machine learning. The paper argues that standard validation practices from …
FAccT · 2024
Psychologists have long known that people tend to perceive minority and marginalized groups as more uniform and interchangeable than dominant groups — a phenomenon called …
NeurIPS · 2024
Personality psychology has long been caught between two competing visions: models that describe everyone the same way, and models tailored uniquely to each individual. This paper …
PA · 2023
Standard political measurement tools assume that people who give the same answer do so for the same reason — but what if a liberal and a conservative both vote "no" for completely …
PA · 2022
Topic models have become one of the most popular tools for analyzing political text at scale — but are researchers actually checking whether the topics they find measure what they …
JOP · 2022
Investigates whether the perceived closeness of presidential elections influences where college students choose to register to vote. The study finds evidence of strategic …