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@article{190032,
        author = {Dr. Shikha Agarwal and Chinmay Chahar and Prachi Saxena and Pritika Khurana},
        title = {Fake News Detection using Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {1265-1269},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190032},
        abstract = {In today’s time with social media around, it becomes difficult to identify and distinguish between real and fake news. Any user can post or spread information through these online platforms without being verified. Fake news can spread like a virus replicating from person to person, leading to a rise in false information. To solve this problem with the help of experimenting with a few datasets and models, we plan to resolve this issue using machine learning. Machine learning is particularly relevant in the perspective of fake messages in social media since it would be impossible for humans to detect fake news on such a widespread platform. Hence, there is a need for machine learning classifiers that can detect fake news automatically. In our research paper, we have trained a model to identify fake news and spam messages which are written in Hindi language.},
        keywords = {},
        month = {January},
        }