  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
(https://araieval.gitlab.io/). We hope this will enable further research on
these important tasks in Arabic.
