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
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.