3 citations · 5 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…