Fake News Detection

Technology being advancing rapidly, digital news is exposed to users across the globe thereby increasing the spread of rumors and misinformation online. This causes negative impact on social, political and economic well-being. Most of the fake news are spread in online platforms like the Internet and social media. Efforts had been taken to detect the fake news but however all those efforts go in vain since it convinces the readers easily to believe the false information. The rate in which the digital news is being produced is large and quick every second and it becomes challenging for machine learning to detect the fake news efficiently. But if the fake news is not able to be detected, people would no longer hold value in truth. Fake news paves way for misleading and promoting wrong ideologies. The people who generate false information benefit by earning money and sometimes gain favor relating to politics, for business or even done to take some revenge. People get easily influenced since we tend to base our emotions from the news, and sharing to friends and family further leads the spread of false information Therefore, the main objective of the project is to detect the fake news and misinformation in Internet and to build an effective machine learning model for the same.