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Grover is a state-of-the-art defense system against fake news generated by neural networks. It is a generator model that is able to identify its own fake news articles as well as those generated by other AI models. It has been tested in a challenging setting and has achieved over 92% accuracy in distinguishing between human-written and machine-written news. Grover can generate fake news articles and also detect them when given a piece of text. It is especially effective at detecting fake news when a large number of articles are released by a source of neural fake news.


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