Machine Learning and Blockchain – Challenges, Future Trends and Sustainable Technologies

E-analysis and Notarization of Social Media based on Blockchain Technology

Author(s): K. Santhanalakshmi*, G. Madhumita, Martin Selvakumar Mohanan, Sathish Kumar R., Belsam Jeba Ananth M., Subhrajit Chanda and Gunjan Chhabra

Pp: 162-180 (19)

DOI: 10.2174/9789815324211126010009

* (Excluding Mailing and Handling)

Abstract

Social media has completely changed how people communicate on a worldwide scale by offering a robust platform for idea sharing, contract negotiations, and the submission of fresh business concepts. However, a number of problems, such as inaccurate information, inadequate content screening, copyright infringement, hacking, identity theft, and fake news, limit the use of social media. This paper presents a proof-of-credibility (PoC) and notarization service-based blockchain strategy for identifying fake news and preventing its spread through social media. Social media platforms are using machine learning methods as part of their marketing strategies. On social media, however, deliberately created screenshots and bogus news are constantly created and shared. Blockchain technology is a good platform for notarizing online activity because it can store data in a safe, unchangeable manner. The Proof-ofConcept methodology was tested on two datasets of notable tweets gathered from various news sources on Twitter. We propose a framework for the authenticated archiving of social media content using blockchain technology. A text message scenario is given as a proof-of-concept based on the suggested strategy, and the results demonstrate how well the suggested approach works in identifying rumors and halting their spread.


Keywords: Blockchain, E-analysis, Fake news, Machine learning, Notarization, PoC, Social media.

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