ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text

Maram Hasanain; Firoj Alam; Hamdy Mubarak; Samir Abdaljalil; Wajdi Zaghouani; Preslav Nakov; Giovanni Da San Martino; Abed Alhakim Freihat

arXiv · 2311.03179

ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text

Maram Hasanain·Firoj Alam·Hamdy Mubarak·Samir Abdaljalil·Wajdi Zaghouani·Preslav Nakov·Giovanni Da San Martino·Abed Alhakim Freihat

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Abstract

We present an overview of the ArAIEval shared task, organized as part of the first ArabicNLP 2023 conference co-located with EMNLP 2023. ArAIEval offers two tasks over Arabic text: (i) persuasion technique detection, focusing on identifying persuasion techniques in tweets and news articles, and (ii) disinformation detection in binary and multiclass setups over tweets. A total of 20 teams participated in the final evaluation phase, with 14 and 16 teams participating in Tasks 1 and 2, respectively. 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 give a brief overview of the participating systems. All datasets and evaluation scripts from the shared task are released to the research community. (https://araieval.gitlab.io/) We hope this will enable further research on these important tasks in Arabic.

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Maram Hasanain, Firoj Alam, Hamdy Mubarak, Samir Abdaljalil, Wajdi Zaghouani, Preslav Nakov, Giovanni Da San Martino, Abed Alhakim Freihat. 2023-11-06. ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text. https://arxiv.org/abs/2311.03179

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