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    • BerConvoNet : a deep learning framework for fake news classification 

      Choudhary, Monika; Chouhan, Satyendra Singh; Pilli, Emmanuel S.; Vipparthi, Santosh Kumar (Elsevier, 2021)
      Fake news has become a major concern over the Internet. It influences people directly and should be identified. In the recent years, various Machine Learning (ML) and Deep Learning (DL) based data-driven approaches have ...
    • Data science for fake news : surveys and perspectives 

      Deepak, P; Tanmoy, Chakraborty; Cheng, Long; Santhosh, Kumar G (Springer, 2021)
      This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert ...
    • DTN: Deep triple network for topic specific fake news detection 

      Jinshuo, Liu; Chenyang, Wang; Chenxi, Li; Ningxi, Li; Juan, Deng; Jeff, Z. Pan (Elsevier, 2021)
      Detection of fake news has spurred widespread interests in areas such as healthcare and Internet societies, in order to prevent propagating misleading information for commercial and political purposes. However, efforts to ...