Fake News Detection Using Pos Tagging and Machine Learning

Abstract In this digital era, one major concern is not knowing what news to believe and not to believe. With the ever-growing progress being made in social media and technology, the problem has become more prominent. This also played a very important role in spreading fake information in this pandemic, creating chaos and worry throughout the world. Through the paper, I propose to understand and analyze the underlying writing style that can help in detecting fake news before it can be published, using a style-based approach in detection. An ensemble machine learning classification model was tried out to detect fake news.