F

Fake News Bert Detect

Developed by jy46604790
A fake news detection model trained on the RoBERTa-base framework to determine news authenticity
Downloads 2,235
Release Time : 4/24/2022

Model Overview

This model is based on the 'roberta-base' framework and trained on over 40,000 news articles from various media sources for fake news identification.

Model Features

High accuracy
Demonstrates high accuracy on test data, such as achieving 99.95% confidence for real news in examples
Large training dataset
Trained on over 40,000 news articles from various media sources
Text length handling
Automatically processes text inputs up to 500 characters, with longer texts truncated

Model Capabilities

Text classification
Fake news detection
News authenticity judgment

Use Cases

News media
News authenticity verification
Media platforms can use this model to automatically verify the authenticity of user-submitted news
Accurately distinguishes between fake and real news
Social media
Fake information filtering
Social platforms can use this model to identify and filter fake news content
Improves platform content quality and reduces the spread of misinformation
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase