Popular GitHub Repositories for Misinformation

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 contributors and boost further research in this area.

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

Framework for testing vulnerabilities of large language models (LLM).

This AI fact-checking system, built with LangGraph, dissects text into verifiable claims, cross-referencing them with real-world evidence via web searches. It then generates detailed accuracy reports, ideal for combating misinformation in LLM outputs, news, or any text.

This AI fact-checking system, built with LangGraph, dissects text into verifiable claims, cross-referencing them with real-world evidence via web searches. It then generates detailed accuracy reports, ideal for combating misinformation in LLM outputs, news, or any text.

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

This AI fact-checking system, built with LangGraph, dissects text into verifiable claims, cross-referencing them with real-world evidence via web searches. It then generates detailed accuracy reports, ideal for combating misinformation in LLM outputs, news, or any text.

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

LEMMA: An effective and explainable way to detect multimodal misinformation with LVLM and external knowledge augmentation, incorporating the intuition and reasoning capbility inside LVLM.

MER is a software that identifies and highlights manipulative communication in text from human conversations and AI-generated responses. MER benchmarks language models for manipulative expressions, fostering development of transparency and safety in AI. It also supports manipulation victims by detecting manipulative patterns in human communication.

Fake News Detective uses NLP to identify and debunk fake news, helping people to stay informed and make informed decisions. It is a powerful tool in the fight against misinformation.

Detectify is a deep learning system that detects AI-generated fake videos (deepfakes) using CNN and LSTM-based RNNs. Trained on datasets like Face-Forensic++, Deepfake Detection Challenge, and Celeb-DF, Detectify offers real-time video manipulation detection to combat misinformation and misuse of deepfake technology.

This repository contains the resources, code, and documentation for LlamaLens, a specialized multilingual large language model (LLM) designed to analyze news and social media content effectively. LlamaLens supports multiple languages, including Arabic, English, and Hindi, and is tailored for diverse tasks such as sentiment analysis, misinformation.

GitHub Repo for ICWSM 2024 paper Machine-Made Media: Monitoring the Mobilization of Machine-GeneratedArticles on Misinformation and Mainstream News Websites

Empowering news organizations to fight disinformation

JudgeGPT - (Fake) News Evaluation, a research project

? TruthValidatorAgent: Decentralized Information Verification System powered by AI & Blockchain. Combats misinformation using AI Agents (RAG), smart contracts, on-chain voting, and Filecoin for secure evidence storage. Join us in building a more trustworthy information ecosystem! ??

In today's digital age, misinformation spreads rapidly, significantly impacting public perception and decision-making. This project employs word embeddings using spaCy to effectively distinguish between fake and real news, enhancing the accuracy of information verification and contributing to the fight against misinformation. ???

TextClass Benchmark Leaderboards

Detecting true vs. false health-related claims in social media using NLP and large language models (BERT, BioBERT, RoBERTa).