Social Media Fake News Detection Model Using Support Vector Machine

Abstract

News is information on societal events currently taking place, and it can be distributed via various social media channels. Fake news is information that has been deliberately manufactured to deceive readers or listeners. It is a form of propaganda that is disseminated under the guise of real news, which can occasionally be hard to distinguish from false news. Social media and conventional news media are both used to promote fake news. The research adopts Support Vector Machine (SVM) algorithm to detect fake news. The SVM algorithm, is a tool for guided learning which can be applied to a variety of tasks based on the categorization of the data. Support Vector Machine is a fast and reliable algorithm that enhances the process for the detection of fake reviews The evaluation metric of the proposed model is accuracy and the proposed model achieved 99.67% accuracy