metadata
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 and Mohammad Javad Pirhadi's Fake News Detection Dataset (English). I could not find any specific citation to use.
Check GitHub for the training code and output log.