Belief dynamics has an important role in shaping our responses to natural and societal
phenomena, ranging from climate change and pandemics to immigration and conflicts …

Politics can seem home to the most calculating and yet least rational elements of humanity.
How might we systematically characterize this spectrum of political cognition? Here, we …

Creating human-like large language model (LLM) agents is crucial for faithful social
simulation. Having LLMs role-play based on demographic information sometimes improves …

Our understanding of disagreement is rooted in psychological studies of human behavior,
which typically cast disagreement as divergence: two agents forming diverging evaluations …

We present a causal language analysis pipeline that leverages a Large Language Model to
identify causal claims made in natural language documents, and aggregates claims across …

In polarized societies, divided subgroups of people have different perspectives on a range of
topics. Aiming to reduce polarization, authorities may use debunking to lend support to one …

Despite the overwhelming scientific consensus that human activities contribute significantly
to climate change, public opinion remains divided. To bridge this gap, informative …

In today's online world, the beliefs of people are shaped by aggregated opinions: the
elicited, quantified and summarized judgements of many strangers. Ratings guide …

Psychological, political, cultural, and sociological factors shape how people form and revise
their beliefs. An established finding across these fields is that people are motivated to hold …

Humans rarely learn one fact in isolation. Instead, learning a new fact induces knowledge of
other facts about the world. For example, in learning a korat is a type of cat, you also infer it …