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Raphael at ArAIEval Shared Task: Understanding Persuasive Language and Tone, an LLM Approach

Utsav Shukla, Manan Vyas, Shailendra Tiwari


Abstract
The widespread dissemination of propaganda and disinformation on both social media and mainstream media platforms has become an urgent concern, attracting the interest of various stakeholders such as government bodies and social media companies. The challenge intensifies when dealing with understudied languages like Arabic. In this paper, we outline our approach for detecting persuasion techniques in Arabic tweets and news article paragraphs. We submitted our system to ArAIEval 2023 Shared Task 1, covering both subtasks. Our main contributions include utilizing GPT-3 to discern tone and potential persuasion techniques in text, exploring various base language models, and employing a multi-task learning approach for the specified subtasks.
Anthology ID:
2023.arabicnlp-1.60
Volume:
Proceedings of ArabicNLP 2023
Month:
December
Year:
2023
Address:
Singapore (Hybrid)
Editors:
Hassan Sawaf, Samhaa El-Beltagy, Wajdi Zaghouani, Walid Magdy, Ahmed Abdelali, Nadi Tomeh, Ibrahim Abu Farha, Nizar Habash, Salam Khalifa, Amr Keleg, Hatem Haddad, Imed Zitouni, Khalil Mrini, Rawan Almatham
Venues:
ArabicNLP | WS
SIG:
SIGARAB
Publisher:
Association for Computational Linguistics
Note:
Pages:
589–593
Language:
URL:
https://aclanthology.org/2023.arabicnlp-1.60
DOI:
10.18653/v1/2023.arabicnlp-1.60
Bibkey:
Cite (ACL):
Utsav Shukla, Manan Vyas, and Shailendra Tiwari. 2023. Raphael at ArAIEval Shared Task: Understanding Persuasive Language and Tone, an LLM Approach. In Proceedings of ArabicNLP 2023, pages 589–593, Singapore (Hybrid). Association for Computational Linguistics.
Cite (Informal):
Raphael at ArAIEval Shared Task: Understanding Persuasive Language and Tone, an LLM Approach (Shukla et al., ArabicNLP-WS 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.arabicnlp-1.60.pdf