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Real-Time Fake News Detection System by vasundharabmsc23 is a document available to read on EtoBox.

What is Real-Time Fake News Detection System about?

The document presents a cloud-based system called FANDC for real-time fake news detection in online social networks, achieving 99% accuracy using the BERT algorithm on a dataset of approximately 99 million tweets. It categorizes fake news into seven subcategories, addressing a gap in existing literature that primarily focused on experimental methods without real-time application. The study emphasizes the importance of a reliable detection system to mitigate the spread of misinformation on social media platf

Author
vasundharabmsc23
Language
EN

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