Official implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)
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Updated
Jun 21, 2018 - Python
Official implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)
Official repository for "FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms", AAAI 2023.
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.
COLING 2022: A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.
Dataset and code for "Explainable Automated Fact-Checking for Public Health Claims" from EMNLP 2020.
Official repository for "Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection", AAAI 2024.
Official repository for "Memory-Guided Multi-View Multi-Domain Fake News Detection", IEEE TKDE.
This is the PyTorch code + data repository for paper "Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection", EACL 2021
[WWW 2022] The source code of "Evidence-aware Fake News Detection with Graph Neural Networks"
Official repository for "Generalizing to the Future: Mitigating Entity Bias in Fake News Detection", SIGIR 2022.
Official implementation of the ACL 2023 paper: "Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation"
[NeurIPS 2022 Oral (Spotlight)] Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
Repository containing the official code for the paper Graph-based Modeling of Online Communities for Fake News Detection.
Full stack Fake News Detection using machine learning code and documents
Official repository for "Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection", ACL 2023
Finetune multiple pre-trained Transformer-based models to solve Vietnamese Fake News Detection problem (ReINTEL) in VLSP2020 shared task
Official Implementation for Pre-CoFact (AAAI-22 DeFactify Workshop Best Paper)
The source code of "Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks
虚假新闻检测 - nku 南开大学《python语言程序设计》大作业
A Fraud detection extension.
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