The rest of the paper is organized as follows. Section II
highlights the consequences of
fake news. Section III
describes the used datasets. Section IV explains the Natu-
ral Language Processing techniques in fake news detection.
Section V contains an in-depth analysis of deep learning
strategies. Section VI presents the evaluation metrics used
in previous studies. Section VII narrates the challenges and

future research direction. Finally, Section VIII concludes the
paper.
A_Comprehensive_Review_on_Fake_News_Detection_With_Deep_Learning