@inproceedings{401681bc081e4402a97de45ec6e9019b,
title = "Integrating Argumentation Features for Enhanced Propaganda Detection in Arabic Narratives on the Israeli War on Gaza",
abstract = "Propaganda significantly shapes public opinion, especially in conflictdriven contexts like the IsraeliPalestinian conflict. This study explores the integration of argumentation features, such as claims, premises, and major claims, into machine learning models to enhance the detection of propaganda techniques in Arabic media. By leveraging datasets annotated with finegrained propaganda techniques and employing crosslingual and multilingual NLP methods, along with GPT4based annotations, we demonstrate consistent performance improvements. A qualitative analysis of Arabic media narratives on the Israeli war on Gaza further reveals the model{\textquoteright}s capability to identify diverse rhetorical strategies, offering insights into the dynamics of propaganda. These findings emphasize the potential of combining NLP with argumentation features to foster transparency and informed discourse in politically charged settings.",
author = "Sara Nabhani and Claudia Borg and Kurt Micallef and \{Al Khatib\}, Khalid",
note = "Publisher Copyright: {\textcopyright} 2025 Association for Computational Linguistics.; 1st International Workshop on Nakba Narratives as Language Resources, Nakba-NLP 2025 ; Conference date: 20-01-2025",
year = "2025",
month = jan,
language = "English",
series = "Proceedings - International Conference on Computational Linguistics, COLING",
publisher = "Association for Computational Linguistics, ACL Anthology",
pages = "127--149",
editor = "Mustafa Jarrar and Nizar Habash and Mo El-Haj and Haddad, \{Amal Haddad\} and Zeina Jallad and Camille Mansour and Diana Allan and Paul Rayson and Tymaa Hammouda and Sanad Malaysha",
booktitle = "31st International Conference on Computational Linguistics, COLING 2025 - 1st International Workshop on Nakba Narratives as Language Resources, Nakba-NLP 2025 - Proceedings of the Workshop",
}