A Comparative Study on Detecting Bangla Fake News on Social Media Using Machine Learning Algorithms

Abstract

One of the most innovative inventions of our time is social media. It is extremely important for each of us, with its own mix of benefits and drawbacks. Fake News has now become a big issue. causing chaos all over the globe As a result, developing as an algorithm that is as accurate as possible would be a revelation, with farreaching implications for social problems that are widespread, also the ongoing political situation People use social networks also online based news articles as a primary basis of the information and news because they are easy to access, have a low cost, and are easy accessible, just a click away. But it has a number of drawbacks, including no way to verify the source, reliability, or validity of the viewpoints being endorsed. The veracity of the perspectives being supported As a result, we've used four machine learning algorithms (Logistic regression, Decision tree classification, Gradient Boosting Classifier, Random Forest Classifier) for comparison to see which algorithm is more effective and efficient and better for predicting the result.