1 citations · 1 across the 6 of their papers we have counts for
6 papers
MOMENTA: Mixture-of-Experts Over Multimodal Embeddings with Neural Temporal Aggregation for Misinformation Detection
Yeganeh Abdollahinejad, Ahmad Mousavi, Naeemul Hassan +4
The widespread dissemination of multimodal content on social media has made misinformation detection increasingly challenging, as misleading narratives often arise not only from te…
A Survey of Information Disorder on Video-Sharing Platforms
Meiyu Li, Wei Ai, Naeemul Hassan
Video sharing platforms (VSPs) have become central information hubs but also facilitate the spread of information disorder, from misleading narratives to fabricated content. This s…
Semantic-based Unsupervised Framing Analysis (SUFA): A Novel Approach for Computational Framing Analysis
Mohammad Ali, Naeemul Hassan
This research presents a novel approach to computational framing analysis, called Semantic Relations-based Unsupervised Framing Analysis (SUFA). SUFA leverages semantic relations a…
LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content
Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Maram Hasanain +3
Large Language Models (LLMs) have demonstrated remarkable success as general-purpose task solvers across various fields. However, their capabilities remain limited when addressing…
Towards Designing a Question-Answering Chatbot for Online News: Understanding Questions and Perspectives
Md Naimul Hoque, Ayman Mahfuz, Mayukha Kindi +1
Large Language Models (LLMs) have created opportunities for designing chatbots that can support complex question-answering (QA) scenarios and improve news audience engagement. Howe…
Not all Fake News is Written: A Dataset and Analysis of Misleading Video Headlines
Yoo Yeon Sung, Jordan Boyd-Graber, Naeemul Hassan
Polarization and the marketplace for impressions have conspired to make navigating information online difficult for users, and while there has been a significant effort to detect f…