Neural Language Model Based Training Data Augmentation for Weakly Supervised Early Rumor Detection

Sooji Han, Jie Gao, Fabio Ciravegna

The scarcity and class imbalance of training data are known issues in current rumor detection tasks. We propose a straight-forward and general-purpose data augmentation technique w…