Speaker
Bruno Gonçalves Vaz
(Universidade do Porto)
Description
News datasets are extremely imbalanced, with the fake news not being as well represented as the real news. Thus, machine learning models for fake news detection do not perform as good as expected. Hence, Generative Adversarial Networks can be used to produce high-quality synthetic samples to better represent the fake news data, improving the models’ performances.
Primary authors
Bruno Gonçalves Vaz
(Universidade do Porto)
Bruno Gonçalves Vaz
(University of Porto, Faculty of Sciences)
