DETECTION OF FAKE NEWS USING MACHINE LEARNING
by Shravan Kruthick Sridhar
Abstract – Machine learning and artificial intelligence are essential parts of technology today. They help reduce human effort and may also be able to perform certain tasks better than humans. An example of this is the classification of news articles as real or false. Whereas humans would have to do extensive research just to check the validity of a single article, a machine learning algorithm can do that in a much shorter timeframe by recognizing words and patterns that mostly occur in false news articles using techniques such as keyword analysis. Checking the validity of news articles is essential to prevent the spread of misinformation, especially due to the prevalence of fake news nowadays.
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