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iit-kgp

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Curated Constraint@AAAI-2021 dataset (10.6K posts from Twitter, Facebook etc.) to build a pipeline for classifying social media content as real or fake • Trained and optimized classical ML models (Logistic Regression, SVM, KNN, Neural Networks) Fine-tuned BERT-based transformers, Twhin-BERT achieved 97% accuracy and 0.975 F1-score.

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