5 papers
Can LLMs Emulate Human Belief Dynamics?
Adiba Mahbub Proma, Neeley Pate, James N. Druckman +3
Can LLMs simulate how humans form and change beliefs in social networks? We put this to the test by replicating an established study on belief dynamics, evaluating 12 LLMs across m…
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…
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…
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…
Exploring the Role of Randomization on Belief Rigidity in Online Social Networks
Adiba Mahbub Proma, Neeley Pate, Raiyan Abdul Baten +4
People often stick to their existing beliefs, ignoring contradicting evidence or only interacting with those who reinforce their views. Social media platforms often facilitate such…