Abstract:
Fake news, spread through social media, pose a serious threat to our society. Identifying fake news is a complicated task. The first step leading to an automated fake news detection system is stance detection i.e. the relevance between headline and the body of an article. Stance detection can help in identifying click-bait headlines with unrelated body text(a technique mostly used by fake news distributors) and in evaluating the stance different news sources take towards a claim. In this project, we design and develop a system to detect stance between two bodies of text using Natural Language Processing techniques
