  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.
