| | --- |
| | 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. |
