ThatiAR: Subjectivity Detection in Arabic News Sentences

Understand

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

• It provides insights into public sentiment, empowers readers to make informed decisions, and encourages critical thinking.
• While research has developed methods and systems for this purpose, most efforts have focused on English and other high-resourced languages.
• In this study, we present the first large dataset for subjectivity detection in Arabic, consisting of ~3.6K manually annotated sentences, and GPT-4o based explanation.