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

K. Santhanalakshmi Faculty of Management, SRM Institute of Science and Technology, Kattankulathur, India G. Madhumita Department of Management Studies, Vels Institute of Science Technology and Advanced Studies (VISTAS) Chennai, India Martin Selvakumar Mohanan Department of Organization & Human Resource Management, Great Lakes Institute of Management, Chennai, India Sathish Kumar R. Department of Artificial Intelligence and Machine Learning, Faculty of Engineering and Technology, Jain University (Deemed-to-be-University), Bengaluru, India Belsam Jeba Ananth M. Department of Mechatronics Engineering, SRM Institute of Science and Technology, Kattankulathur, India Subhrajit Chanda Jindal Global Law School, OP Jindal Global University, Sonipat, India Gunjan Chhabra Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun, India E-analysis and Notarization of Social Media based on Blockchain Technology

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.
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