Skip to main content
Article
Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic
WANLP 2022 - 7th Arabic Natural Language Processing - Proceedings of the Workshop
  • Firoj Alam, Qatar Computing Research Institute
  • Hamdy Mubarak, Qatar Computing Research Institute
  • Wajdi Zaghouani, Hamad Bin Khalifa University
  • Giovanni Da San Martino, Università degli Studi di Padova
  • Preslav Nakov, Mohamed Bin Zayed University of Artificial Intelligence
Document Type
Conference Proceeding
Abstract

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.

DOI
10.18653/v1/2022.wanlp-1.11
Publication Date
12-1-2022
Comments

Archived with thanks to ACL Anthology

Preprint License: CC by 4.0 DEED

Uploaded 27 November 2023

Citation Information
Firoj Alam, et al, "Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic." In Proceedings of the The Seventh Arabic Natural Language Processing Workshop (WANLP), ACL, pp. 108–118, Dec 2022. doi: 10.18653/v1/2022.wanlp-1.11