Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contribut…

This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.

An original implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)

Final Year Fake News Detection using Machine learning Project with Report, PPT, Code, Research Paper, Documents and Video Explanation.

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.

Official repository to release the code and datasets in the paper "Mining Dual Emotion for Fake News Detection", WWW 2021.

Official repository for "Zoom Out and Observe: News Environment Perception for Fake News Detection", ACL 2022.

COLING 2022: A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.

Repository for the COLING 2020 paper "Explainable Automated Fact-Checking: A Survey."

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.

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 "Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection", AAAI 2024.

Official repository for "Generalizing to the Future: Mitigating Entity Bias in Fake News Detection", SIGIR 2022.

✨ Fake news classification using source adaptive framework - BE Project 🎓The repository contains Detailed Documentation of the project, Classification pipeline, Architecture, System Interface Design, Tech stack used.

Fake News Detector Web Application

Media Forensics / Fake Detection experiments in PyTorch. Implements Fighting Fake News: Image Splice Detection via Learned Self-Consistency