Real vs Fake New Classifier

Document Type

Project

Authors

Deepthi Sukumar, Grand Valley State University

Lead Author Type

CIS Masters Student

Advisors

Dr. Yonglei Tao, taoy@gvsu.edu

Embargo Period

5-22-2020

Keywords

Fake News, Real News, Machine Learning, Classifier, Naïve Bayes, Python

Abstract

Fake News and Hoaxes started since the internet era. The fake news trend started mainly to deceive readers, increase readership and is often used as a means of psychological warfare. Advances in technology and the spread of news through different types of media, without actually verifying the facts, have increased the spread of fake news today. The main purpose of this project is to come up with a classifier which can differentiate fake news from the real news.

ScholarWorks Citation

Sukumar, Deepthi, "Real vs Fake New Classifier" (2020). Technical Library. 347.
https://scholarworks.gvsu.edu/cistechlib/347