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VIDEO DOI: https://doi.org/10.48448/69zw-j620

workshop paper

ACL 2024

August 16, 2024

Bangkok, Thailand

AlexUNLP-MZ at ArAIEval Shared Task: Contrastive Learning, LLM Features Extraction and Multi-Objective Optimization for Arabic Multi-Modal Meme Propaganda Detection

keywords:

llm features extraction and multi-objective optimization for arabic multi-modal meme propaganda detection

alexunlp-mz at araieval shared task: contrastive learning

The rise of memes as a tool for spreading propaganda presents a significant challenge in the current digital environment. In this paper, we outline our work for the ArAIEval Shared Task2 in ArabicNLP 2024. This study introduces a method for identifying propaganda in Arabic memes using a multimodal system that combines textual and visual indicators to enhance the result. Our approach achieves the first place in text classification with Macro-F1 of 78.69%, the third place in image classification with Macro-F1 of 65.92%, and the first place in multimodal classification with Macro-F1 of 80.51%

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Transcript English (automatic)

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