FAKE NEWS DETECTION USING MACHINE LEARNING

Abstract: Fake News is one of the major problems in the current situation. Fake News has capacity to change pinions, facts and can act as the strongest weapon in today's society. Our project uses NLP techniques for detecting the 'fake news', that is, misleading news stories which come from the non-reputable sources. The data science community has responded by taking actions against the problem. It is impossible to determine a news as real or fake accurately. So, the proposed project uses the datasets that are trained using Count Vectorizer method for the detection of fake news and its accuracy will be tested using machine learning algorithms.

Keywords: Misleading news, NLP techniques, Count Vectorizer, Train-Test split, Machine learning algorithms