3 papers
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…