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fine_tuned_fake_news_classifier
koliskos/fine_tuned_fake_news_classifier
fine_tuned_fake_news_classifier is a text classification model from koliskos. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
Model is used to detect whether a news story is fake or legitimate.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- distilbert
- Access
- Public
- Created
- Mar 15, 2023
- Updated
- Mar 17, 2023
- SHA
- 7d22e488
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Datasets
Model card
From the Hugging Face model README
Model Card for Model ID
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
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
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- mit
- Languages
- en
- Created
- Mar 15, 2023
- Updated
- Mar 17, 2023