ABSTRACT
The developing subject of study known as fake news has piqued the curiosity of both academics and media practitioners. Fake news has become more prevalent in the digital age, highlighting how long-standing institutional safeguards against false information are being undermined. Because they may quickly reach a huge number of people, governmental organizations use these to distribute critical information through their verified Facebook profiles and official Twitter handles. However, a variety of deceptive practices, such as propaganda and rumors, have the potential to trick consumers on a regular basis. During these COVID times, fake news and rumors are particularly prevalent and easily disseminated, which causes confusion in this trying time. Therefore, given the current climate, fake news detection is a need. This essay reviews recent studies on various methods for spotting fake news on the Internet. The writers covered both traditional methods and cutting-edge innovations, such as machine learning methods and apps for identifying bogus news.
