A collection of GNN-based fake news detection models.

Official repository for "FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms", AAAI 2023.

Scaling COVID public behavior change and anti-misinformation

[AAAI 2023] COSMOS: Catching Out-of-Context Misinformation using Self Supervised Learning

A data set regarding news veracity on social media. Published at ICWSM-18.

Code associated with the EMNLP 2024 Main paper: "Image, tell me your story!" Predicting the original meta-context of visual misinformation.

PyTorch implementation for the FinerFact model in the AAAI 2022 paper Towards Fine-Grained Reasoning for Fake News Detection

Code and data for "ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM" (NeurIPS 2024 Track Datasets and Benchmarks)

Seamlessly build the MuMiN dataset.

Official implementation of the ACL 2023 paper: "Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation"

The official implementation of our paper "TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection".

This is the repository of code and dataset for paper "The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News", SIGIR 2018

Repository for the NELA dataset

A GETTR API client written in Python.

MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs

Official repository for the "VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Bias" paper.

Open source web application implementing MIST Misinformation Susceptibility Test

Formal implementation of Robust Domain Misinformation Detection via Multi-modal Feature Alignment

Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators