تقرير
Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic
| العنوان: | Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic |
|---|---|
| المؤلفون: | Alam, Firoj, Mubarak, Hamdy, Zaghouani, Wajdi, Martino, Giovanni Da San, Nakov, Preslav |
| سنة النشر: | 2022 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, 68T50, F.2.2, I.2.7 |
| الوصف: | Propaganda is the expression of an opinion or an action by an individual or a group deliberately designed to influence the opinions or the actions of other individuals or groups with reference to predetermined ends, which is achieved by means of well-defined rhetorical and psychological devices. Propaganda techniques are commonly used in social media to manipulate or to mislead users. Thus, there has been a lot of recent research on automatic detection of propaganda techniques in text as well as in memes. However, so far the focus has been primarily on English. With the aim to bridge this language gap, we ran a shared task on detecting propaganda techniques in Arabic tweets as part of the WANLP 2022 workshop, which included two subtasks. Subtask~1 asks to identify the set of propaganda techniques used in a tweet, which is a multilabel classification problem, while Subtask~2 asks to detect the propaganda techniques used in a tweet together with the exact span(s) of text in which each propaganda technique appears. The task attracted 63 team registrations, and eventually 14 and 3 teams made submissions for subtask 1 and 2, respectively. Finally, 11 teams submitted system description papers. Comment: Accepted at WANLP-22 (EMNLP-22), propaganda, disinformation, misinformation, fake news, memes, multimodality. arXiv admin note: text overlap with arXiv:2109.08013, arXiv:2105.09284 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2211.10057 |
| رقم الأكسشن: | edsarx.2211.10057 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |