Modelpublic

Lennywinks/fake-news-detector-english

sourceHugging Facemitupdated 7mo agoView on Hugging Face

0likes67downloads

Model Card

DistilBERT English Fake News Classifier

This model is a fine-tuned version of distilbert-base-cased, specifically optimized for the detection of English-language disinformation and fake news.

Model Description

The model distinguishes between "Real" and "Fake" news articles.

—Model Type: Transformer-based text classification
—Language: English (en)
—Base Model: distilbert-base-cased

Training Data

The model was trained on a consolidated dataset of approximately 63,000 English news articles, sourced from various datasets including:

—WELFake
—WebzIO

Example

input_text: "Scientists discover that lemon juice cures all viral infections instantly." \ output: "fake"

input_text: "The Federal Reserve announced a interest rate hike of 25 basis points today." \ output: "real"