abiek12/Fake-News-Detection-using-MachineLearning
Fake News Detection using Machine Learning is a comprehensive project that utilizes machine learning and natural language processing techniques to identify and classify fake news articles. The project includes data analysis, model training, and a real-time web application for detecting fake news.
This project helps social media content moderators or platform managers identify news sources that consistently produce unreliable information. You input news articles, and the system outputs a classification indicating whether the source is likely to be a producer of fake news, enabling informed decisions about content visibility.
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Use this if you need to quickly assess the trustworthiness of news sources based on multiple articles to help manage content on a social media platform.
Not ideal if you need to analyze individual article credibility in isolation, as this tool focuses on evaluating entire news sources.
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Oct 16, 2023
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