shibing624/fake-news-detector
Fake News Detection Competition
This helps identify false information in news articles. You input a news article's text, and it determines whether the news is real or fake. This is ideal for content moderators, journalists, or anyone needing to verify the authenticity of news quickly.
No commits in the last 6 months.
Use this if you need an automated way to classify news articles as either true or false, especially for a high volume of text.
Not ideal if you need to analyze deepfake videos or images, as this focuses specifically on text-based news content.
Stars
9
Forks
—
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 10, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/shibing624/fake-news-detector"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mihail911/fake-news
Building a fake news detector from initial ideation to model deployment
google-research/fool-me-twice
Game code and data for Fool Me Twice: Entailment from Wikipedia Gamification...
FakeNewsChallenge/fnc-1-baseline
A baseline implementation for FNC-1
palewire/storysniffer
Inspect a URL and estimate if it contains a news story
IKMLab/CFEVER-data
AAAI-24 CFEVER: A Chinese Fact Extraction and VERification Dataset