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20062026
most citedCritical Survey of the Freely Available Arabic Corpora

86 citations · 166 across the 44 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CL2024

Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMs

Firoj Alam, Md. Rafiul Biswas, Uzair Shah +2

In the past decade, social media platforms have been used for information dissemination and consumption. While a major portion of the content is posted to promote citizen journalis…

cs.CL2024

MemeMind at ArAIEval Shared Task: Spotting Persuasive Spans in Arabic Text with Persuasion Techniques Identification

Md Rafiul Biswas, Zubair Shah, Wajdi Zaghouani

This paper focuses on detecting propagandistic spans and persuasion techniques in Arabic text from tweets and news paragraphs. Each entry in the dataset contains a text sample and…

cs.CL2024

The FIGNEWS Shared Task on News Media Narratives

Wajdi Zaghouani, Mustafa Jarrar, Nizar Habash +5

We present an overview of the FIGNEWS shared task, organized as part of the ArabicNLP 2024 conference co-located with ACL 2024. The shared task addresses bias and propaganda annota…

cs.CL2024

Nullpointer at CheckThat! 2024: Identifying Subjectivity from Multilingual Text Sequence

Md. Rafiul Biswas, Abrar Tasneem Abir, Wajdi Zaghouani

This study addresses a binary classification task to determine whether a text sequence, either a sentence or paragraph, is subjective or objective. The task spans five languages: A…

cs.CL2024

ArAIEval Shared Task: Propagandistic Techniques Detection in Unimodal and Multimodal Arabic Content

Maram Hasanain, Md. Arid Hasan, Fatema Ahmed +4

We present an overview of the second edition of the ArAIEval shared task, organized as part of the ArabicNLP 2024 conference co-located with ACL 2024. In this edition, ArAIEval off…

cs.CL2024

ThatiAR: Subjectivity Detection in Arabic News Sentences

Reem Suwaileh, Maram Hasanain, Fatema Hubail +2

Detecting subjectivity in news sentences is crucial for identifying media bias, enhancing credibility, and combating misinformation by flagging opinion-based content. It provides i…