A classifier trained on around 70k news articles, aimed at distinguishing real news from fake news. It is an EmbeddingBag-based text classifier made with PyTorch. Accuracy is 99.205%

Data used is Gonzalo Álvarez's Fake News and Mohammad Javad Pirhadi's Fake News Detection Dataset (English). I could not find any specific citation to use.

Check GitHub for the training code and output log.

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Text Classification

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ShadowProgrammer
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FakeNewsClassifier

Datasets used to train ShadowProgrammer/FakeNewsClassifier