Will present two papers at EMNLP 2024

🎉 Two of Our Papers Accepted at EMNLP 2024 🎉

We are excited to announce that two of our papers have been accepted at EMNLP 2024! These works reflect our continued efforts to push the boundaries of multilingual and multimodal research.

1️⃣ Large Language Models for Propaganda Span Annotation
📄 Read the Paper
💻 Explore the Code
This research explores the capabilities of large language models in identifying and annotating propaganda spans in text, with implications for combating misinformation and biased narratives.

2️⃣ ArMeme: Propagandistic Content in Arabic Memes
📄 Read the Paper
🗂️ Access the Dataset
This paper delves into the world of Arabic memes, investigating how they are used as vehicles for propaganda. The ArMeme dataset provides a valuable resource for understanding multimodal propaganda in the Arabic language.