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@article{191944,
        author = {Sayyed.H.A and Manisha raja shinde and Shravani Ganesh Rachcha and Samruddhi Vijay kale},
        title = {Fake-News-Detection-System-Using-Machine-Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {8634-8635},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191944},
        abstract = {Fake news has become a major concern in the digital era due to the rapid growth of social media and online platforms. The spread of false information can influence public opinion, create panic, and damage trust in reliable news sources. This project presents a machine learning-based fake news detection system that automatically classifies news articles as real or fake. The proposed system uses Natural Language Processing (NLP) techniques for text preprocessing and feature extraction, followed by classification algorithms such as Logistic Regression, Naive Bayes, and Random Forest. Experimental results show high accuracy and reliability, making the system suitable for real-time news verification applications.},
        keywords = {},
        month = {January},
        }