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@article{158993,
        author = {Drishti Parijat  and Rachana DR and Shivani Kumari  and Awanttika Singh},
        title = {Fake News Detection using Machine Learning },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {11},
        pages = {130-137},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=158993},
        abstract = {It is difficult to estimate the exact percentage of news that is fake nowadays as it varies depending on the source and type of news. However, studies have shown that the jump of fake news is a significant problem nowadays due to the ease of creation and sharing information on publicly accessible online platforms. Social media platforms play a significant role in exacerbating this problem either directly or indirectly, with algorithms that prioritize engagement and the sharing of sensational content contributing to the problem. In addition, political polarization and the rise of disinformation campaigns have further exacerbated the spread of fake news. While there are constant efforts to combat the spread of fake news, it remains a pervasive issue that requires continued attention and vigilance.},
        keywords = {Fake news, Social media, algorithms.},
        month = {},
        }