wgyhhhh/EASE
About Official repository for "Towards Real-Time Fake News Detection under Evidence Scarcity"
This project helps media analysts, journalists, or content moderators quickly identify fake news, even when there's very little information available. You provide news articles (text and images), and it uses AI to predict if they are real or fake, along with reasons and supporting evidence. This tool is designed for anyone needing to verify news in real-time.
Use this if you need to rapidly assess the authenticity of news articles, especially new or emerging stories where supporting evidence might be scarce or hard to find quickly.
Not ideal if you prefer manual, in-depth investigative journalism or if your workflow does not involve processing a high volume of news for veracity.
Stars
8
Forks
—
Language
Python
License
MIT
Category
Last pushed
Jan 07, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/wgyhhhh/EASE"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
RISE-UNIBAS/humanities_data_benchmark
LLM Benchmark Suite for Humanities Data
ma-compbio/DNALONGBENCH
A benchmark suite of five genomics tasks for evaluating DNA foundation models on long-range dependencies.
Brand24-AI/mms_benchmark
The most extensive open massively multilingual corpus of datasets for training sentiment models....
TreeAI-Lab/NumericBench
A comprehensive benchmark to evaluate and improve the fundamental numerical reasoning abilities...