Today’s exponential growth of social media platforms have enabled both reliable and fake news that appears to be genuine to be spread very quickly and widely. The current learning algorithms to automatically detect fake news based on their contents are not effective and efficient. Fake news detection on state-of-the-art social media platforms presents unique challenges to identify the source of the news, and to measure the credibility of the authors which is the major problem to define the trustworthiness or credibility of the news. The credibility of the news can be defined by verifying the source and measuring the author credibility using a trust index. This would help to determine whether a news received is reliable or false. Hence, the main objective of this research is to propose a trust index based model to define news credibility in social media using blockchain with source verification and author credibility check. Blockchain technology and architecture provides a transparent, distributed and reliable platform to achieve consensus, provenance, immutability, finality, and most importantly single views of truth. The outcome of this research would be to mitigate the spreading of fake news in social media that would reduce chaos facilitating in maintaining peace and social security among the community. With an increasing appetite for verifiable truth on the internet, the proposed model can provide a new ecosystem to verify the credibility of news on a social media platform.
Volume 12 | 07-Special Issue
Pages: 1622-1628
DOI: 10.5373/JARDCS/V12SP7/20202266