Turkish Manipulative News Headline Detection Dataset
Abstract
This dataset contains 2,008 Turkish news articles collected from seven major media outlets (Hürriyet, Sabah, Sözcü, Cumhuriyet, Milliyet, CNN Türk, NTV) between January and June 2024. Each article is annotated with two labels: (1) headline manipulation (binary: manipulative / non-manipulative) and (2) article-level sentiment (three-class: negative / neutral / positive). The dataset was constructed to support research on manipulative news headline detection through headline-content misalignment analysis in Turkish digital media.
Fields of Study & Subjects
Misinformation and Its Impacts
Sentiment Analysis and Opinion Mining
Hate Speech and Cyberbullying Detection
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 3 March 2026
- Language
- EN
- Document type
- Dataset