A collection of GNN-based fake news detection models.
-
Updated
Mar 24, 2022 - Python
A collection of GNN-based fake news detection models.
This repository contains recent research on fake news.
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…
Intellectia - Your Guardian Against Misleading AI-Generated Content
AMITT (Adversarial Misinformation and Influence Tactics and Techniques) framework for describing disinformation incidents. Includes TTPs and countermeasures.
[AAAI 2023] COSMOS: Catching Out-of-Context Misinformation using Self Supervised Learning
This repository contains list of available fake news datasets for data mining.
Scaling COVID public behavior change and anti-misinformation
Dataset for analysing Propagation of COVID-19 Misinformation on Twitter
🚨 Rumor, Fake News, Misinformation Papers
FakeCovid- A Multilingual Cross-domain Fact Check News Dataset for COVID-19
A minimum-dependency ECMAScript client library and CLI tool for Parler – a "free speech" social network that accepts real money to buy "influence" points to boost organic non-advertising content
A curated list of works related to Misinformation Video Detection
Official repository for "FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms", AAAI 2023.
A data set regarding news veracity on social media. Published at ICWSM-18.
Repository for the COLING 2020 paper "Explainable Automated Fact-Checking: A Survey."
Global collection of English Twitter posts about COVID-19 vaccines
An annotated Corpus of WhatsApp messages in PT-BR for automatic detection of textual misinformation.
iVerify Apps: Apps that support the AI-powered iVerify platform to combat misinformation and hate speech
The Misinformation Game is a social-media simulator built to study how people interact with information on social-media.
Add a description, image, and links to the misinformation topic page so that developers can more easily learn about it.
To associate your repository with the misinformation topic, visit your repo's landing page and select "manage topics."