# Model Card for Model ID

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
{"language": ["en"], "license": "mit", "datasets": ["koliskos/fake_news"]}
transformers pytorch tensorboard distilbert text-classification en dataset:koliskos/fake_news license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #en #dataset-koliskos/fake_news #license-mit #autotrain_compatible #endpoints_compatible #region-us 

# Model Card for Model ID

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" URL
# Model Card for Model ID

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" URL
TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #en #dataset-koliskos/fake_news #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # Model Card for Model ID

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" URL
TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #en #dataset-koliskos/fake_news #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# Model Card for Model ID

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" URL