REVIEW ON FAKE NEWS DETECTION USING MACHINE LEARNING

The accuracy of information on the Internet, especially on social media, is becoming more problematic, yet b-scale data limits the ability to detect, analyze, and correct such data. These websites also include "false news." Introducing a mechanism for recognizing and avoiding "false news." One of the most extensively used Ed social media sources to deploy. This method Bayes classifier whether classified True False. The outcomes may be enhanced by using a number of strategies covered in the study. The results indicate that the problem of identifying false news may be solved using machine learning approaches