| --- |
| license: gpl-3.0 |
| datasets: |
| - GonzaloA/fake_news |
| - mohammadjavadpirhadi/fake-news-detection-dataset-english |
| language: |
| - en |
| pipeline_tag: text-classification |
| library_name: pytorch |
| --- |
| |
| A classifier trained on around 70k news articles, aimed at distinguishing real news from fake news. |
| It is an EmbeddingBag-based text classifier made with PyTorch. Accuracy is 99.205% |
|
|
| Data used is [Gonzalo Álvarez's *Fake News*](https://huggingface.co/datasets/GonzaloA/fake_news) and [Mohammad Javad Pirhadi's *Fake News Detection Dataset (English)*](https://huggingface.co/datasets/mohammadjavadpirhadi/fake-news-detection-dataset-english). |
| I could not find any specific citation to use. |
|
|
| Check [GitHub](https://github.com/ShadowDeveloper/FakeNewsClassifier) for the training code and output log. |
