most citedQCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection using Multilingual Models

3 citations · 6 across the 5 of their papers we have counts for

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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…

cs.CL20243 cited

Can GPT-4 Identify Propaganda? Annotation and Detection of Propaganda Spans in News Articles

Maram Hasanain, Fatema Ahmed, Firoj Alam

The use of propaganda has spiked on mainstream and social media, aiming to manipulate or mislead users. While efforts to automatically detect propaganda techniques in textual, visu…

cs.CL2023

ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text

Maram Hasanain, Firoj Alam, Hamdy Mubarak +5

We present an overview of the ArAIEval shared task, organized as part of the first ArabicNLP 2023 conference co-located with EMNLP 2023. ArAIEval offers two tasks over Arabic text:…

cs.CL20233 cited

QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection using Multilingual Models

Maram Hasanain, Ahmed Oumar El-Shangiti, Rabindra Nath Nandi +2

Misinformation spreading in mainstream and social media has been misleading users in different ways. Manual detection and verification efforts by journalists and fact-checkers can…