There are 12 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.
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.
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 "Zoom Out and Observe: News Environment Perception for Fake News Detection", ACL 2022.
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.
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.
✨ 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
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.
FNDetectoApp
Full stack Fake News Detection using machine learning code and documents
Fake News Detection using a BERT-based Deep Learning Approach
Finetune multiple pre-trained Transformer-based models to solve Vietnamese Fake News Detection problem (ReINTEL) in VLSP2020 shared task
Detecting Fake News using AI
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
This repository contains AI models that identify deceptive content and combat misinformation
This repository contains supervised fake news detection on LIAR dataset. Check out the analysis details for more details.
虚假新闻检测 - nku 南开大学《python语言程序设计》大作业