Fake News Detection Model for Regional Language

Social media has expanded far and wide in the past few years, which has led to the ease of circulating any kind of news and posts all over the network. The work that we are pursuing currently focuses on the prevention of the circulation of large, misinformed news over the network. The different machine and deep learning techniques incorporated with certain Natural Language Processing techniques can result in achieving such good models to filter the fake news and real news apart from themselves. The social media spectrum is active in other low-resource language domains like Malayalam exactly how it prevails in other languages which currently aids in the inflation of rumors and false accusations among the masses. The main objective is to classify the incoming Malayalam contextual news and other rumors to aid humans in fast-tracking the manual verification or detection process of the news. The introduction of the classifier with an additional front-end interface to assist the people in the time of a crisis would help the crowd to a great degree with dynamic regular feeding of real-time data to the language model.