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.
View Full Project DescriptionSara Rouhani
North Forge
Computer science
Education; Management of companies and enterprises; Professional, scientific and technical services
University of Manitoba
Accelerate