Vatshayan/Fake-News-Detection-Project

Implements ensemble machine learning methods combining multiple classification algorithms to detect misinformation by analyzing textual properties across real-world datasets. The approach extracts linguistic and content-based features from news articles, training diverse models through ensemble techniques to improve detection accuracy beyond single-algorithm baselines. Built in Python and validated against established fake news corpora, the project demonstrates superior performance compared to conventional classification approaches.

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