nguyenvo09/fake_news_detection_deep_learning

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nguyenvo09/fake_news_detection_deep_learning

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Fake News Detection using Deep Learning models in Tensorflow

EMNLP2020

This is official Pytorch code and datasets of the paper "Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News", EMNLP 2020.

EACL2021

This is the PyTorch code + data repository for paper "Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection", EACL 2021

Double-Attention-Network

This is the PyTorch implementation of Double Attention Network, NIPS 2018

CombatingFakeNews

This is the repository of code and dataset for paper "The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News", SIGIR 2018

LearningFromFactCheckers

This is the repository of Pytorch code and dataset for paper "Learning from Fact-checkers: Analysis and Generation of Fact-checking Language", SIGIR 2019

mcmc

This repository is for community detection metrics such as ARI, NMI, Purity, Normalized Cut and Modularity.

Jupyter Notebook