TABLE 1. A comparison of existing surveys based on fake news detection.

extract high-dimensional features, and c) better accuracy.
Further, the current wide availability of data and program-
ming frameworks has boosted the usage and robustness of
DL-based approaches. Hence, in the last ﬁve years, numer-
ous articles have been published on fake news detection,
mostly based on DL strategies [24]. An enthusiastic effort
has been made to review the current literature to compare the
extensive amount of DL-based fake news detection research
efforts.
A_Comprehensive_Review_on_Fake_News_Detection_With_Deep_Learning