[150] Y. Long, Q. Lu, R. Xiang, M. Li, and C.-R. Huang, ‘‘Fake news
detection through multi-perspective speaker proﬁles,’’ in Proc. 8th Int.
Joint Conf. Natural Lang. Process., vol. 2. Taipei, Taiwan: Asian Fed.
Natural Lang. Process., Nov. 2017, pp. 252–256. [Online]. Available:
https://aclanthology.org/I17-2043/

[151] T. Chen, X. Li, H. Yin, and J. Zhang, ‘‘Call attention to rumors: Deep
attention based recurrent neural networks for early rumor detection,’’ in
Proc. Paciﬁc–Asia Conf. Knowl. Discovery Data Mining. Switzerland:
Springer, 2018, pp. 40–52.

VOLUME 9, 2021

156169

M. F. Mridha et al.: Comprehensive Review on Fake News Detection With Deep Learning

[152] N. Aloshban, ‘‘ACT: Automatic fake news classiﬁcation through self-

attention,’’ in Proc. 12th ACM Conf. Web Sci., Jul. 2020, pp. 115–124.

[153] Y.-J. Lu and C.-T. Li,

‘‘GCAN: Graph-aware co-attention net-
works for explainable fake news detection on social media,’’ 2020,
arXiv:2004.11648.
A_Comprehensive_Review_on_Fake_News_Detection_With_Deep_Learning