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.
