{"data":{"full_name":"madboy482/FakeNewsDetection","name":"FakeNewsDetection","description":"A deep learning-based fake news detection system leveraging BERT and metadata features. Built on the LIAR2 dataset, this project achieves ~65% accuracy in classifying news statements across six veracity categories from \"pants-fire\" to \"true\".","stars":0.0,"forks":0.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"fake-news-detection","last_pushed_at":"2025-06-11T12:16:36+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":2.0,"adoption_score":0.0,"maturity_score":9.0,"community_score":0.0,"quality_score":11.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-10T10:09:31.786848+00:00"}}