Era of Sociology News Rumors News Detection using Machine Learning

Abstract

In this paper we have perform the political fact checking and fake news detection using various technologies such as Python libraries , Anaconda , and algorithm such as Naïve Bayes, we present an analytical study on the language of news media. To find linguistic features of untrustworthy text, we compare the language of real news with that of satire, hoaxes, and propaganda. We are also presenting a case study based on PolitiFact.com using their factuality judgments on a 6 point scale to prove the feasibility of automatic political fact checking. Experiments show that while media fact checking remains an open research issue, stylistic indications can help determine the veracity of the text. Chandni Jain | S. Vignesh "Era of Sociology News Rumors News Detection using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23534.pdf