PropDataSet

This dataset contains 1,499 news articles labeled as real (0) or fake (1). From the real news subset, 30% of articles were synthetically transformed into propagandistic content using techniques such as appeal to authority, loaded language, appeal to fear, and flag waving. The dataset includes the original article, its label, a flag indicating whether it was modified, and the modified version. This data is designed for research in fake news detection, disinformation modeling, and propaganda analysis in natural language processing.