Fake News Detection using Machine Learning

Everyone depends upon various online resources for news in this modern age, where the internet is pervasive. As use of social media platforms such as Facebook, Twitter, and others has increased, spreads quickly among millions users a short time. The consequences Fake are far-reaching, from swaying election outcomes favor certain candidates to creating biased opinions. WhatsApp, Instagram, many other main source spreading fake news. This work provides solution by introducing detection model using machine learning. requires prerequisite data extracted websites. Web scraping technique used extraction which further create datasets. classified into two major categories true dataset false dataset. Classifiers classification Random Forest, Logistic Regression, Decision Tree, KNN Gradient Booster. Based on output received either or data. that, user can find out whether given not webserver.