A collection of GNN-based fake news detection models.
Framework for testing vulnerabilities of large language models (LLM).
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
Code and data for "ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM" (NeurIPS 2024 Track Datasets and Benchmarks)
Code associated with the EMNLP 2024 Main paper: "Image, tell me your story!" Predicting the original meta-context of visual misinformation.
[AAAI 2023] COSMOS: Catching Out-of-Context Misinformation using Self Supervised Learning
[ICLR 2025] MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs
Official implementation of the ACL 2023 paper: "Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation"
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
A complete NLP and Machine Learning project to detect fake and real news using TF-IDF and Logistic Regression. Includes full training pipeline, evaluation charts, and an interactive Streamlit web app for real-time credibility analysis. Dataset adapted from Kaggle’s Fake and Real News Dataset.
Seamlessly build the MuMiN dataset.
The official implementation of our paper "TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection".
Official repository for the "VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Bias" paper.
This is the repository of code and dataset for paper "The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News", SIGIR 2018
A GETTR API client written in Python.
Open source web application implementing MIST Misinformation Susceptibility Test
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