Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic
November 18, 2022 ยท The Cartographer ยท ๐ Workshop on Arabic Natural Language Processing
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"Title-pattern auto-detect: Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic"
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Authors
Firoj Alam, Hamdy Mubarak, Wajdi Zaghouani, Giovanni Da San Martino, Preslav Nakov
arXiv ID
2211.10057
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.LG
Citations
61
Venue
Workshop on Arabic Natural Language Processing
Last Checked
1 day ago
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.
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