Model is used to detect whether a news story is fake or legitimate.
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Developed by: koliskos
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Model type: Text Classification
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Language(s) (NLP): English
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License: mit
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Finetuned from model: DistilBERT
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Repository: koliskos/fine_tuned_fake_news_classifier
This model is meant to classify news articles as real or fake.
This model could potentially assume "fake" to be the default
prediction for news stories that contain names that are seen
heavily within fake news articles, ex: a news story about someone
named Hillary may be labeled fake even if it is real because the
name Hillary is heavily grounded within the context of Hillary Clinton.
