Browsing by Subject "Deep learning"

Now showing items 1-3 of 3

    • A link2vec-based fake news detection model using web search results 

      Shim, Jae-Seung; Lee, Yunju; Ahn, Hyunchul (Elsevier, 2021)
      Today, the world is under siege from various kinds of fake news ranging from politics to COVID-19. Thus, many scholars have been researching automatic fake news detection based on artificial intelligence and machine learning ...

    • 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 ...

    • 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 ...