USE OF PYTHON AND MACHINE LEARNING FOR FAKE NEWS DETECTION

USE OF PYTHON AND MACHINE LEARNING FOR FAKE NEWS DETECTION

A.   Gayathri *1, B. Uma Devi*2 , Mr. J. Arun Kumar*3

*1 BTech, Department of ECE, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India

*2 BTech, Department of ECE, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India

*3 Assistant Professor, Department of ECE, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India

ABSTRACT

Everyone now relies on various online news sources because the internet is so widely used. News quickly spread among millions of users in a very short period of time along with the increase in the use of social media platforms like Facebook, Twitter, etc. Additionally, spammers use alluring news headlines to lure readers into clicking on their ads. You occasionally need to confirm the accuracy of information.

A new area of research that is receiving a lot of attention is fake news detection. Due to the limited resources, including datasets, processing, and analysis methods, it does, however, face some difficulties. In this work, we suggest a machine learning-based system for detecting fake news.

Keywords: sklearn, Vectorizer, PassiveAggressive Classifier