Paper Title
Fake News Detection System

Abstract
In this digital age, fake news is a huge issue considering it hurts real-world communities by disseminating misinformation, destroying reputations, and igniting social unrest. Fake news can be a result of misinformation, or it can be an intentional attempt to intentionally mislead people. Now it has become harder and harder to recognize whether the news is legitimate news from fake news as social media has grown a lot. At the same time identifying and rectifying fake news is a significant concern for any news organization, so here comes machine learning, which can help in doing so. Machine Learning Techniques have shown promising results in detecting fake news with the help of analyzing vast amounts of data, in which it identifies patterns and it provides outcomes that are based on those patterns. Machine Learning can be applied in various ways and fields for the detection of false information