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@article{202648,
        author = {Aarti Deepak Jadhav and Priyanka Ramdas Dhobale and Vishakha K.Gadhave and Neha A.Shinde and Mayur A.Adsul},
        title = {AI-Based Fake News Detection System Using Machine Learning and Full Stack Development},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {12591-12595},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202648},
        abstract = {Fake news is a problem on social media and online platforms. It can change what people think and cause confusion. This can really hurt society. The Fake News Detection System is a project that uses intelligence to figure out if news is fake or real. It uses computer programs and techniques to understand what people are saying and writing. The system has an interface that people can use. They can paste a news article into the system. It will tell them if it is fake or real. It will also give them a score that shows how sure it is. The people who made this system used computer tools like Flask and React.js to build it. They also used something called TF-IDF to turn words into numbers that the computer can understand. This project shows that artificial intelligence can be used to stop news and make sure people get the right information. The Fake News Detection System is an example of how artificial intelligence and computers can help us deal with fake news. It is a tool, for people who want to know if a news article is fake or real. The Fake News Detection System can help us make sure that fake news does not spread and hurt people.},
        keywords = {Artificial Intelligence, fake news detection, Flask, Logistic Regression, Machine Learning, React.js},
        month = {May},
        }