Neural News Discriminator BERT En

🚀 Human written vs. AI written news classifier

A text classification model trained to distinguish between human - written and AI - written news based on English news data.

🚀 Quick Start

This model is a text classifier trained to differentiate between human - written and AI - written news. It is trained on English news data from https://huggingface.co/datasets/tum-nlp/neural_news.

📚 Documentation

Base Model

The base model used is https://huggingface.co/google-bert/bert-base-multilingual-cased.

Data

See below for data splits:

Results

See below for accuracy metrics:

Paper

@article{uyuk2024crafting,
  title={Crafting Tomorrow's Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian},
  author={{\"U}y{\"u}k, Cem and Rov{\'o}, Danica and Kolli, Shaghayegh and Varol, Rabia and Groh, Georg and Dementieva, Daryna},
  journal={arXiv preprint arXiv:2408.10724},
  year={2024}
}

📄 License

This project is licensed under the Apache 2.0 license.