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Model is used to detect whether a news story is fake or legitimate.

  • Developed by: koliskos

  • Model type: Text Classification

  • Language(s) (NLP): English

  • License: mit

  • Finetuned from model: DistilBERT

  • Repository: koliskos/fine_tuned_fake_news_classifier

Uses

This model is meant to classify news articles as real or fake.

Bias, Risks, and Limitations

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.

Model Card Contact

spkolisko "at" wellesley.edu

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Dataset used to train koliskos/fine_tuned_fake_news_classifier