no code implementations • 27 Oct 2021 • Paul Guélorget, Benjamin Icard, Guillaume Gadek, Souhir Gahbiche, Sylvain Gatepaille, Ghislain Atemezing, Paul Égré
In this paper, we combine two independent detection methods for identifying fake news: the algorithm VAGO uses semantic rules combined with NLP techniques to measure vagueness and subjectivity in texts, while the classifier FAKE-CLF relies on Convolutional Neural Network classification and supervised deep learning to classify texts as biased or legitimate.
