Rumor Detection on Social Media

Abstract

Social media stages have been utilized for information and news gathering, and they are very profitable in numerous applications. However, they lead to the spreading of rumors and fake news. Numerous endeavors have been taken to detect and expose rumors on social media by analyzing their substance and social context using machine learning procedures. This paper gives a diagram of the later studies in the rumor location field. It gives a comprehensive list of datasets utilized for rumor detection, and audits the imperative studies based on what sorts of data they exploit and the approaches they take. And more critically, we moreover show several new headings for future research.