Paper Title
Analyzing Social Media Fake News Detection Approaches

Social media and different platforms are largely responsiblefor spreading fake news, and it is a concerning issue for worry because of its capability to inflict majornational and social harms with negative impacts. Fake news detection is already the topic of a lot of studies. This paper analyses the fake news research and applies various machine learning models for detection consisting of supervised machine learning techniques that can distinguishbogus news as false or true, with the help of differenttools such as Natural Language Processing (NLP) and Python Scikit-Learn