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Fake news detection, methods and data processing

Soham P.

In this project we studied several models to discern fake news articles from real news articles to find the best method.

In this project we studied several models to discern fake news articles from real news articles to find the best method. Fake news has become very prevalent in the digital age. There are thousands of articles that were written with the intent to mislead in various subjects: politics, social issues, and conspiracies. Leveraging two datasets that have true news articles and fake news articles we used 4 different machine learning models and compared them to each other to find the best method. We looked at the accuracy, the features, and the percentage of false positives the models gave. We found that the best model out of the four that we used was the custom neural network which got an accuracy of 95.7%.

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Soham P.
Erick Ruiz

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