A baseline implementation for FNC-1

EANN: event-adversarial neural networks for multi-modal fake news detection

Using temporal convolution to detect Audio Deepfakes

🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks

Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch

Determine whether a given video sequence has been manipulated or synthetically generated

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

Open source web application implementing MIST Misinformation Susceptibility Test

Fake News Detection by Learning Convolution Filters through Contextualized Attention

A Feed Aggregator that Knows What You Want to Read.

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

WhatsApps related deaths News Articles along with other articles across India during that period

Multi-Modal Fine-Grained Fake News Detection with Dialogue Summarization

Code for "Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation"

Chrome extension that battles fake news

Repo for the Enroot Hackathon

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

Backend endpoint for the Fake News Chrome Extension

Candidate solution for Facebook's fake news problem using machine learning and crowd-sourcing. Takes form of a Chrome extension. Developed in under 24 hours at 2017 Crimson Code hackathon at Washington State University.

NELA Features for News Veracity. Used in multiple studies.