AI-Based Fake News Detection for Multilingual Indian Content

We have described a framework for catching fake news in many Indian languages, including mixed-language text. It brings together careful cleaning, Indian-language and multilingual transformers, a stacked ensemble with human review of doubtful cases, and an explanation for every answer. We have also laid out how success will be measured, using accuracy, precision, recall, and F1 with clear targets. Whether the system hits those targets is the next question. We will report the real numbers, including any shortfall, when the experiments are done. Later work could add images and video, more languages, links to fact-check articles, and learning from reviewers' corrections.

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