A collection of GNN-based fake news detection models.
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Updated
Mar 24, 2022 - Python
A collection of GNN-based fake news detection models.
[AAAI 2023] COSMOS: Catching Out-of-Context Misinformation using Self Supervised Learning
Scaling COVID public behavior change and anti-misinformation
Open source web application implementing MIST Misinformation Susceptibility Test
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.
PyTorch implementation for the FinerFact model in the AAAI 2022 paper Towards Fine-Grained Reasoning for Fake News Detection
Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators
Official implementation of the ACL 2023 paper: "Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation"
Misinformation papers @ CSCW 2018 & ICWSM 2020.
This is the repository of code and dataset for paper "The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News", SIGIR 2018
VaXTrack: An interactive platform for exploring the impact of misinformation on global vaccine uptake.
Fact-check rationalization paper @ ACL 2021.
Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking
Formal implementation of Robust Domain Misinformation Detection via Multi-modal Feature Alignment
We believe that curbing this subset of fake news would involve providing the necessary tools to journalists and users who take the time to sift through trustworthy content. In this light, our solution is to devise a methodology and program to assist a journalist to identify if an image and associated title are trustworthy. The fundamentals of ou…
An AI-powered tool to support lateral reading.
Monitoring Italian conversations around vaccines on multiple social media (Twitter, Facebook)
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