ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text
Document Type
Conference Proceeding
Publication Title
ArabicNLP 2023 - 1st Arabic Natural Language Processing Conference, Proceedings
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.1 We hope this will enable further research on these important tasks in Arabic.
First Page
483
Last Page
493
Publication Date
1-1-2023
Recommended Citation
M. Hasanain et al., "ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text," ArabicNLP 2023 - 1st Arabic Natural Language Processing Conference, Proceedings, pp. 483 - 493, Jan 2023.