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---
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license:
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datasets:
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- koliskos/fake_news
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language:
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- en
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---
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license: mit
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datasets:
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- koliskos/fake_news
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language:
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- en
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---
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# Model Card for Model ID
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Model is used to detect whether a news story is fake or legitimate.
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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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 [optional]:** DistilBERT
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** koliskos/fine_tuned_fake_news_classifier
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## Uses
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This model is meant to classify news articles as real or fake.
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## Bias, Risks, and Limitations
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This model could potentially assume "fake" to be the default
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prediction for news stories that contain names that are seen
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heavily within fake news articles, ex: a news story about someone
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named Hillary may be labeled fake even if it is real because the
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name Hillary is heavily grounded within the context of Hillary Clinton.
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## Model Card Contact
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spkolisko "at" wellesley.edu
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