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DeHiDe: Deep Learning-based Hybrid Model to Detect FakeNews using Blockchain
P. Agrawal, P.S. Anjana,
Published in Association for Computing Machinery
2021
Pages: 245 - 246
Abstract
The surge in the spread of immensely powerful deep-fakes, pseudo-news, misleading information, lies, propaganda, and false facts, frequently known as fake news, raised questions concerning social media's influence in today's fast-moving society. It is challenging to overcome fake news in traditional centralized systems. Blockchain technology can help in contending with such problems. A novel idea of DeHiDe: Deep Learning-based Hybrid Model to Detect Fake News using Blockchain is presented in this paper. DeHiDe is a blockchain-based framework for legitimate news sharing by filtering out the fake news. It combines the benefit of blockchain with an intelligent deep learning model to reinforce robustness and accuracy in combating fake news's hurdle. © 2021 ACM.
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JournalData powered by TypesetACM International Conference Proceeding Series
PublisherData powered by TypesetAssociation for Computing Machinery