12 papers
Replicating Human Motivated Reasoning Studies with LLMs
Neeley Pate, Adiba Mahbub Proma, Hangfeng He +4
Motivated reasoning - the idea that individuals processing information may be motivated to either arrive at accurate beliefs or arrive at desired conclusions - has been well-explor…
Information bounds production in replicator systems
Jordi Piñero, Damian R. Sowinski, Gourab Ghoshal +2
Environmental fluctuations can shape replicator dynamics, with important consequences for both prebiotic and modern ecosystems. However, it remains unclear how simple replicators c…
How LLMs Fail to Support Fact-Checking
Adiba Mahbub Proma, Neeley Pate, James Druckman +3
While Large Language Models (LLMs) can amplify online misinformation, they also show promise in tackling misinformation. In this paper, we empirically study the capabilities of thr…
Spatiotemporal Determinants of Vector-Borne Disease Outbreaks
Bibandhan Poudyal, Gourab Ghoshal
Vector-borne diseases arise from the coupled dynamics of human mobility and mosquito ecology, producing outbreaks shaped by both spatial distributions and temporal patterns of move…
Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks
Adiba Mahbub Proma, Neeley Pate, Sean Kelty +3
Large language models (LLMs) are increasingly involved in shaping public understanding on contested issues. This has led to substantial discussion about the potential of LLMs to re…
Configurational Information Measures, Phase Transitions, and an Upper Bound on Complexity
Damian R Sowinski, Sean Kelty, Gourab Ghoshal
Configurational entropy (CE) and configurational complexity (CC) are recently popularized information theoretic measures used to study the stability of solitons. This paper examine…