Work

ArAIEval Shared Task: Propagandistic Techniques Detection in Unimodal and Multimodal Arabic Content

Year: 2024

Type: conference-paper

Abstract: We present an overview of the second edition of the ArAIEval shared task, organized as part of the ArabicNLP 2024 conference co-located with ACL 2024.In this edition, ArAIEval offers two tasks: (i) detection of propagandistic textual spans with persuasion techniques identification in tweets and news articles, and (ii) distinguishing between propagandistic and non-propagandistic memes.A total of 14 teams participated in the final evaluation phase, with 6 and 9 teams participating in Tasks 1 and 2, respectively.Finally, 11 teams submitted system description papers.Across both tasks, we observed that fine-tuning transformer models such as AraBERT was at the core of the majority of the participating systems.We provide a description of the task setup, including a description of the dataset construction and the evaluation setup.We further provide a brief overview of the participating systems.All datasets and evaluation scripts are released to the research community.1 We hope this will enable further research on these important tasks in Arabic.

Source: Arabic Natural Language Processing Workshop (WANLP)

DOI: 10.18653/v1/2024.arabicnlp-1.44