Papers by Naeemul Hassan
LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content (2025.findings-naacl)
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Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Maram Hasanain, Sahinur Rahman Laskar, Naeemul Hassan, Firoj Alam
| Challenge: | Large Language Models (LLMs) have demonstrated remarkable success as general-purpose task solvers across various fields. |
| Approach: | They propose to develop a specialized LLM for analyzing news and social media content in a multilingual context. |
| Outcome: | The proposed model outperforms the current state-of-the-art on 23 testing sets and achieves comparable performance on 8 sets. |
A Survey of Computational Framing Analysis Approaches (2022.emnlp-main)
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| Challenge: | Existing computational methods for framing analysis are limited . a lack of a comprehensive understanding of framability is limiting the research . |
| Approach: | They propose to combine existing approaches to analyze large-scale datasets using computational methods. |
| Outcome: | The proposed methods will help scholars better understand how frames are being explored computationally, the authors argue . |
Not all Fake News is Written: A Dataset and Analysis of Misleading Video Headlines (2023.emnlp-main)
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| Challenge: | Social media platforms are used by half of U.S. adults for everyday news consumption. |
| Approach: | They propose to analyze video headlines and whether annotators believe the headline is representative of the video’s contents. |
| Outcome: | The proposed dataset analyzes video headlines and explains why annotators view a video as misleading. |