activity
20222026
most citedNADBenchmarks -- a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters

3 citations · 5 across the 9 of their papers we have counts for

collaborators

9 papers

cs.SI2026

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…

cs.HC2026

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…

cs.AI2025

MERIT: Modular Framework for Multimodal Misinformation Detection with Web-Grounded Reasoning

Mir Nafis Sharear Shopnil, Sharad Duwal, Abhishek Tyagi +1

We present MERIT, an inference-time modular framework for multimodal misinformation detection that decomposes verification into four specialized modules: visual forensics, cross-mo…

cs.SI2025

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…

cs.LG2025

Evidence-Grounded Multimodal Misinformation Detection with Attention-Based GNNs

Sharad Duwal, Mir Nafis Sharear Shopnil, Abhishek Tyagi +1

Multimodal out-of-context (OOC) misinformation is misinformation that repurposes real images with unrelated or misleading captions. Detecting such misinformation is challenging bec…

cs.CL2025

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…

cs.SI2024

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…

cs.DL2023★ 2 cited

Don't follow the leader: Independent thinkers create scientific innovation

Sean Kelty, Raiyan Abdul Baten, Adiba Mahbub Proma +3

Academic success is distributed unequally; a few top scientists receive the bulk of attention, citations, and resources. However, do these ``superstars" foster leadership in scient…

cs.LG2022★ 3 cited

NADBenchmarks -- a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters

Adiba Mahbub Proma, Md Saiful Islam, Stela Ciko +2

Climate change has increased the intensity, frequency, and duration of extreme weather events and natural disasters across the world. While the increased data on natural disasters…