Detection of Fake News using Machine Learning Algorithm
Reet Rai, Soumita Das, J P Shamanth, M S Murali Dhar, M Shilpa · International journal of advance research and innovative ideas in education · 2021
The sharing of information via the internet has been increasing over the years. The internet has been a source of easy information and is used more than traditional ways like newspapers or magazines. It is important to identify information from the internet as real or fake as misleading information could cause a lot of havoc in society. Fake information can be the cause of riots, chaos and can affect a large group of society. In this paper, we talk about the methodology used to detect false news using machine learning classifiers and natural language processing to authenticate whether the news is real or not. For the generation of feature vectors, we use the TF-IDF vectorizer. To detect the news as fake or real we’re comparing several classifying techniques to find out the best model that could be used to detect false news.