davanstrien/WELFake
Dataset Card for Dataset Name Dataset Summary We designed a larger and more generic Word Embedding over Linguistic Features for Fake News Detection (WELFake) dataset of 72,134 news articles with 35,028 real and 37,106 fake news. For this, we merged four popular news datasets (i.e. Kaggle, McIntire, Reuters, BuzzFeed Political) to prevent over-fitting of classifiers and to provide more text data for better ML training. Dataset contains four columns: Serial number… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/WELFake.
| Author / organization | davanstrien |
|---|---|
| Downloads | 369 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 20 September 2023 |
| Last updated at source | 20 September 2023 |
Connected in the knowledge graph
- GhostFaith/distilbert-fakenewsModel · used to train
Recent changes
- 16 Oct 2026 Description: Dataset Card for Dataset Name Dataset Summary We designed a larger and more generic Word Embedding over Linguistic Features for Fake News Detection (WELFake) dataset of 72,134 news articles with 35,028 real and 37,106 fake news. For this, w → Dataset Card for Dataset Name Dataset Summary We designed a larger and more generic Word Embedding over Linguistic Features for Fake News Detection (WELFake) dataset of 72,134 news articles with 35,028 real and 37,106 fake news. For this, w
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