Detection of Fake news and missing information is gaining popularity, especially after the advancement in social media and online news platforms.  Social media platforms are the main and speediest source of fake news propagation, whereas online news websites contribute to fake news dissipation.  In this study, we extract temporal features such as temporal specificity, temporal expressions, recurring events and other.  In recent studies, the temporal features in text documents gain valuable consideration from Natural Language Processing. This research study overviews the machine learning and deep learning techniques to classify fake news based on temporal features. Also discussed the challenges in early detection of fake news and suggest some future direction based on our review.

Index Terms- Machine Learning, Deep Learning, Natural Language Processing