Fake news detection is a fast-expanding topic of research with numerous studies published in recent years. This study examines past and present methods of receiving false information in text formats while explaining why false stories exist. Early research in this area was largely concerned with formulating strategies for identifying fake news based on elements including text content, writing style, and source legitimacy. Due to the rapid growth of online knowledge, it is no longer possible to determine the true meaning of lies. Thus, this leads to the problem of false news. If fake news is rampant, the legitimacy of social media networks is likewise jeopardized. As a result, it has become an important research problem to automatically evaluate information based on its source, content, and publisher to determine whether it is fake or accurate. This research offers a thorough analysis of the subject throughout time into a single study.