تقرير
ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text
| العنوان: | ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text |
|---|---|
| المؤلفون: | Hasanain, Maram, Alam, Firoj, Mubarak, Hamdy, Abdaljalil, Samir, Zaghouani, Wajdi, Nakov, Preslav, Martino, Giovanni Da San, Freihat, Abed Alhakim |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language, Computer Science - Artificial Intelligence, 68T50, F.2.2, I.2.7 |
| الوصف: | 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. Comment: Accepted at ArabicNLP-23 (EMNLP-23), propaganda, disinformation, misinformation, fake news |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2311.03179 |
| رقم الأكسشن: | edsarx.2311.03179 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |