Blockchain-Enhanced Fake News Detection in Social Networks

This project aims to take advantage of the blockchain ecosystem to detect fake news. This is done by designing a rating system that works on the blockchain network through which a group of verified reviewers will rate the news prior to broadcasting. News with inadequate verification from reviewers will be marked as ‘fake’. Afterward, the social network will be informed of such news. Consequently, the news is either deleted or marked as fake on the social network. Moreover, the blockchain network prevents future fake news with similar content from being published using machine learning models that are trained with past detected fake news.

Faculty Supervisor:

Sara Rouhani

Student:

Partner:

North Forge

Discipline:

Computer science

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Manitoba

Program: