Abstract:
In recent years, the widespread of fake news is growing at an alarming rate. So
much so that it has turned into a social issue. So recognizing and distinguishing
fake news is an important task which must be accomplished with proper ideas and
science behind it. In this project we have implemented an application, which will
help users to discern fake news amongst all sort of news which is available on all
over internet. The application will provide users with up to date news using simple
news aggregation along with news validation, the news will be classified into three
categories fake, genuine and neutral. The validation will be performed in two stages;
first using machine learning and second based on news feedback provided by the
users of our system. Using this two step method we can make a validation system
that is dynamic and one that becomes more accurate with time.
Keywords: Machine learning, Fake news
