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What is Fake News Detection with Machine Learning about?

This research paper presents a novel methodology for detecting fake news using machine learning techniques, specifically Naive Bayes and logistic regression algorithms. The study aims to enhance the accuracy of fake news identification by preprocessing a dataset of news articles and employing feature extraction methods like TF-IDF. Results indicate that logistic regression is particularly effective in classifying news articles as fake or genuine, thereby contributing to the credibility of information in the

Author

thi

Language

EN