Ambient: A Blockchain Social Media to Build Trust and Discredit Fake News

K.Y. Foong, S.Y. Ang, D.Z. Chia, W.J. Tee, R.K. Murugesan and M.D. Hamzah

Fake news on social media platforms are rising at an alarming rate and have real world consequences. For instance, it has the power to influence the election results of a country. Social media is a “double-edged sword” that has both positive and negative impact to society. In our modern society today, transparent, trustable and reliable technology that focuses on ensuring credibility of everyday news is very important to protect the foundation of democracy and liberty of a country. The problem is automatic fake news detection and prevention on current social media platform is a unique challenge. The existing algorithms used in current social media are not effective. Thus, novel solution to detect and prevent fake news is much needed. In this research, a novel blockchain social media system, i.e. Ambient, is proposed that implement crowd intelligence in detecting fake news and moderating the contents. The proposed system not only strives to reduce spread of fake news, but also to reward users for their quality content.

Volume 11 | 11-Special Issue

Pages: 889-894

DOI: 10.5373/JARDCS/V11SP11/20193112