nguyenvo09/EACL2021
This is the PyTorch code + data repository for paper "Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection", EACL 2021
This project helps fact-checkers and disinformation analysts automatically identify fake news by evaluating claims against supporting evidence. You input news articles, associated claims, and their sources, and the system outputs a classification of whether the claim is true or false, along with metrics like F1-score and AUC to quantify confidence. This tool is designed for researchers or analysts working to combat misinformation.
No commits in the last 6 months.
Use this if you need to systematically assess the veracity of news claims based on provided textual evidence, for example, for large-scale fake news detection research.
Not ideal if you're looking for a simple, off-the-shelf application to detect fake news without any technical setup or if you don't have structured data with claims and supporting articles.
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Language
Python
License
MIT
Category
Last pushed
Feb 19, 2022
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