DeHiDe: Deep Learning-based Hybrid Model to Detect Fake News using Blockchain✱

Agrawal, Prashansa and Anjana, Parwat Singh and Peri, Sathya (2020) DeHiDe: Deep Learning-based Hybrid Model to Detect Fake News using Blockchain✱. In: ACM International Conference Proceeding Series, 5 January 2021 - 8 January 2021.

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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.

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IITH Creators:	IITH Creators ORCiD Agrawal, Prashansa UNSPECIFIED Anjana, Parwat Singh UNSPECIFIED Peri, Sathya UNSPECIFIED
Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Centralized systems; Hybrid model; Learning models; Misleading informations; Social media;Blockchain; Learning systems
Subjects:	Computer science
Divisions:	Department of Computer Science & Engineering
Depositing User:	. LibTrainee 2021
Date Deposited:	06 Aug 2021 05:45
Last Modified:	06 Aug 2021 05:45
URI:	http://raiithold.iith.ac.in/id/eprint/8704
Publisher URL:	http://doi.org/10.1145/3427796.3430003
Related URLs:	Author

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