FAKE NEWS DETECTION SYSTEM USING MACHINE LEARNING
Abstract
ABSTRACT
This project focuses on the development of a Fake News Detection System designed to automatically identify and classify online news articles as either fake or genuine. The system uses machine learning algorithms to analyze textual content and determine its authenticity. The project emphasizes the importance of combating misinformation, which has become prevalent in digital media. Experimental results demonstrate the system’s effectiveness in achieving accurate classification, thereby contributing to information reliability and digital trust.
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