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With the ever-increasing rate of information dissemination and absorption, "Fake News" has become a real menace. People these days often fall prey to fake news that is in line with their perception. Checking the authenticity of news articles manually is a time-consuming and laborious task, thus, giving rise to the requirement for automated computational tools that can provide insights about degree of fake ness for news articles. In this paper, a Natural Language Processing (NLP) based mechanismdoi:10.4108/eai.13-7-2018.163973 fatcat:bycjszl7mjadpdpyavkq6qyxxe