Official implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)
-
Updated
Jun 21, 2018 - Python
Official implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)
[WWW 2022] The source code of "Evidence-aware Fake News Detection with Graph Neural Networks"
Dataset and code for "Explainable Automated Fact-Checking for Public Health Claims" from EMNLP 2020.
Official repository for "Memory-Guided Multi-View Multi-Domain Fake News Detection", IEEE TKDE.
Official repository for "FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms", AAAI 2023.
Official repository for "Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection", AAAI 2024.
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.
AAAI ICWSM-2022 Evaluation of Fake News Detection with Knowledge-Enhanced Language Models
This is the PyTorch code + data repository for paper "Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection", EACL 2021
Official repository for "Generalizing to the Future: Mitigating Entity Bias in Fake News Detection", SIGIR 2022.
Repository containing the official code for the paper Graph-based Modeling of Online Communities for Fake News Detection.
Finetune multiple pre-trained Transformer-based models to solve Vietnamese Fake News Detection problem (ReINTEL) in VLSP2020 shared task
COLING 2022: A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.
As the Covid-19 virus quickly spreads across the globe, the world is not just dealing with a “Pandemic” but also an “Infodemic”. Considering that the world is on the brink of disaster, it is paramount to validate the authenticity of dubious information. We present in this project a web application whose detection process is based on the assembla…
Official implementation of the ACL 2023 paper: "Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation"
Supplementary material to the paper 'Applying Automatic Text Summarization for Fake News Detection'
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
Fake news detection using TF-IDF vectorization and LinearSVC
[NeurIPS 2022 Oral (Spotlight)] Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
Add a description, image, and links to the fake-news-detection topic page so that developers can more easily learn about it.
To associate your repository with the fake-news-detection topic, visit your repo's landing page and select "manage topics."