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@article{198624,
        author = {Andapally Guna Shekar and Apeksha Tolwala and Chedurpally Sreeveda and Gopu Stephanie Abigail and Mrs N.samatha},
        title = {An AI-Based Framework for Real Time Fake News Detection With Browser Integration},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {8545-8549},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198624},
        abstract = {The issue of misinformation has turned out to be a highly prominent and problematic issue in the last ten years or so, especially in reference to the rise of fake news stories pertaining to universal themes. In response, fact-checking content has also gained substantial traction on the web. However, the role of the media as a fundamental source of news cannot be overlooked, especially in reference to pre-existing notions of readers. The consumption of news influences opinions, and such opinions can be changed through the consumption of false information, which can have a permanent impact. Several scholars have proposed complex and numerous open-source development frameworks for the prevention of the dissemination of false content and the occurrence of fake news on the web or for fact-checking in reference to scientific articles.},
        keywords = {Fake News Detection, Machine Learning, Natural Language Processing, Chrome Extension, BERT, RoBERTa},
        month = {April},
        }