An Efficient and Precise Method to Detect Fake News using Machine Learning Algorithms

social media has become a part of life now a days which plays an important role to provide the entertainment as well as a news most of the news which has been posted through any of the social media could be a fake news and such news will easily spread throughout the globe instantly and people might not aware of it. The opinions of the people can be shaped in bias or inversely for government or for any organization. Therefore, to recognize the moto and real meaning of any posts in social media there is a necessary to find a system which is efficient in detecting false information among the posts in social media. Fake news is misleading or false information which spreads globally and the trending area of interest on detecting falsification which has the limitations of few collections of resources. This Fake News can be detected by using various techniques of ML and AI concepts which is the purpose of this proposed work of this paper is to present a system which has efficiency to expect whether a set of data or a bit of information is fake or real on the basis of its content, by using the concepts of natural language processing (NLP) perspective and with the results of practical examinations of the system. To detect the fake news in the news collected from the post we use 14 attributes (experience for users, overall posts, and news type How Often, Word Count (+ and -), Location, and Time) to divide the single piece of news subjecting into various dimensions of attributes content found in the news by the Artificial Intelligence approaches and Machine Learning for the analysis and to categorize the news in which the system analyzes the various methods foe classification and suggestions for an active Natural Language Processing method to identify FAKE NEWS. Visual Studio 2010 or its higher version and SQL server as a software tool with that by using C# language and additionally with the resources and the concept of 14 attributes the objective of detecting fake news can be achieved with good accuracy.