Fake News Detection Using Pos Tagging and Machine Learning.

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. [ABSTRACT FROM AUTHOR]