Work

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

Year: 2024

Type: conference-paper

Abstract: 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%.

Source: Arabic Natural Language Processing Workshop (WANLP)

DOI: 10.18653/v1/2024.arabicnlp-1.53

Authors: Mohamed Zaytoon, Nagwa El-Makky, Marwan Torki

Institution: Alexandria University

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4402671032

FWCI:

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