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…
AMITT (Adversarial Misinformation and Influence Tactics and Techniques) framework for describing disinformation incidents. Includes TTPs and countermeasures.
Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.
Official repository for "FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms", AAAI 2023.
Paper list for the survey "Combating Misinformation in the Age of LLMs: Opportunities and Challenges" and the initiative "LLMs Meet Misinformation", accepted by AI Magazine 2024
A curated list of works related to Misinformation Video Detection, as a companion material for an ACM Multimedia 2023 survey
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
Scaling COVID public behavior change and anti-misinformation
The dataset and code for the ICLR 2024 paper "Can LLM-Generated Misinformation Be Detected?"
This repository contains list of available fake news datasets for data mining.
Repository for the COLING 2020 paper "Explainable Automated Fact-Checking: A Survey."
🚨 Rumor, Fake News, Misinformation Papers
[AAAI 2023] COSMOS: Catching Out-of-Context Misinformation using Self Supervised Learning
Find helpful tools and resources to help you fact check and analyse, fake news and AI generated imagery.
MetaCOVID: META-Coronavrius dataset repository
FakeCovid- A Multilingual Cross-domain Fact Check News Dataset for COVID-19
Framework for testing vulnerabilities of large language models (LLM).
Code associated with the EMNLP 2024 Main paper: "Image, tell me your story!" Predicting the original meta-context of visual misinformation.
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