Nicozwy/CofCED
COLING 2022: A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.
This project helps media analysts and content moderators identify fake news by analyzing raw reports and public reactions, rather than relying solely on fact-checked reports. It takes in collections of user-generated reports and claims and outputs a judgment on the claim's veracity with explanations. This is intended for professionals who need to quickly assess information reliability in dynamic online environments.
102 stars.
Use this if you need an automated system to detect fake news and understand why a claim is flagged, especially when formal fact-checks are not yet available.
Not ideal if you require a system that only processes pre-vetted, expert-reviewed fact-checks rather than leveraging community input.
Stars
102
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 03, 2026
Commits (30d)
0
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