There are 17 repositories under fake-news-detection topic.
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 contributors and boost further research in this area.
Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.
This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.
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.
Official implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)
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 for "Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection", AAAI 2024.
Official repository to release the code and datasets in the paper "Mining Dual Emotion for Fake News Detection", WWW 2021.
COLING 2022: A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.
Official repository for "Zoom Out and Observe: News Environment Perception for Fake News Detection", ACL 2022.
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.
Repository for the COLING 2020 paper "Explainable Automated Fact-Checking: A Survey."
[WWW 2022] The source code of "Evidence-aware Fake News Detection with Graph Neural Networks"
Fake News Detector Web Application
This is the PyTorch code + data repository for paper "Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection", EACL 2021
✨ 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.
Official repository for "Generalizing to the Future: Mitigating Entity Bias in Fake News Detection", SIGIR 2022.
Full stack Fake News Detection using machine learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
Official implementation of the ACL 2023 paper: "Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation"
虚假新闻检测 - nku 南开大学《python语言程序设计》大作业
(NeurIPS 2022) Official Implementation of Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
Fake News Detection using a BERT-based Deep Learning Approach
Official repository for "Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection", ACL 2023
Official repository to release the code and datasets in the paper, "Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning", CIKM 2021.
This repository contains AI models that identify deceptive content and combat misinformation
Media Forensics / Fake Detection experiments in PyTorch. Implements Fighting Fake News: Image Splice Detection via Learned Self-Consistency
The source code of "Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks
Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models, CIKM 2024.
Repository containing the official code for the paper Graph-based Modeling of Online Communities for Fake News Detection.
Official repository to release the code and datasets in the paper, "Article Reranking by Memory-enhanced Key Sentence Matching for Detecting Previously Fact-checked Claims", ACL-IJCNLP 2021.
Official Implementation for Pre-CoFact (AAAI-22 DeFactify Workshop Best Paper)
FNDetectoApp
Finetune multiple pre-trained Transformer-based models to solve Vietnamese Fake News Detection problem (ReINTEL) in VLSP2020 shared task