FacTool: Factuality Detection in Generative AI

Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).

Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.

Detecting Deepfakes Without Seeing Any

Development environment for Meedan Check, a collaborative media annotation platform

Source code of MapChecking.com

GraphQL API server for clients like rumors-site and rumors-line-bot

🔎 CaptainFact - Frontend. The one you see on https://captainfact.io

Rumors list / creation UI, with server-side rendering

This is official Pytorch code and datasets of the paper "Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News", EMNLP 2020.

Line bot that checks if a message contains internet rumor.

An easy to use framework for large-scale fact-checking and question answering

Adversarial Training on Transformer Networks to discover check-worthy factual claims

📚 Documentation, wiki and community discussions

Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

Dataset and code for "Explainable Automated Fact-Checking for Public Health Claims" from EMNLP 2020.

https://aletheiafact.org a Crowd-sourced fact checking platform.

Repository for the COLING 2020 paper "Explainable Automated Fact-Checking: A Survey."

Symmetric evaluation set based on the FEVER (fact verification) dataset

Open data of Cofacts collaborative fact-checking database