Abstract:With the ease of access to social media platforms, the spread of fake
news has become a growing concern in today’s society. Classifying fake
news is an important task, as it can help prevent its negative impact on
individuals and society. In this work, an end-to-end framework for fake
news detection is developed by utilizing the power of adversarial
training to make the model more robust. This framework is named “ANN:
Adversarial News Net”. The performance of ANN is evaluated using four
publicly available data… Show more
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