FAKE NEWS DETECTION IN SOCIAL MEDIA USING DISTRIBUTED TECHNOLOGY OF MACHINE LEARNING  (Paperback, Taware Ganesh Gorakhnath,Dr. Anil Kumar Singh,Dr. Surana Amruta Vijay)

Many of our daily activities, such as looking for new data or news, have been redirected to the various online social media platforms in favor of the conventional information sources, such as newspapers and radio. This is because our lives are becoming increasingly centered on internet communication. The causes that account for these shifts are easy to pinpoint, particularly when compared to the mediums that have been used traditionally. The use of social media requires less time and money than other forms of communication, and it also makes sharing and expressing one's viewpoint much simpler, requiring only a single click rather than multiple keystrokes. In point of fact, in addition to serving as a medium for interpersonal communication, social networks are also put to use for a variety of informational and commercial reasons. They are the biggest competitors for other forms of media such as television and radio stations, as well as newspapers. They are networks that make it possible for the general individuals to distribute and produce news, something that was previously only possible for media organizations.