the data have imbalanced classes or underrepresented sam-
ples. GANs produce synthetic data only if they are based on
continuous numbers. But GANs are inapplicable to NLP data
because all NLPs are based on discrete values such as words,
letters, or bytes [145]. To train GANs for text data, novel
techniques are required.
A_Comprehensive_Review_on_Fake_News_Detection_With_Deep_Learning