This repository contains recent research on fake news.

AMITT (Adversarial Misinformation and Influence Tactics and Techniques) framework for describing disinformation incidents. AMITT is part of misinfosec - work on adapting information security practices to help track and counter misinformation - and is designed as far as possible to fit existing infosec practices and tools.

M-CIDER: Meta-CoronavrIus DatasEt Repository

A minimum-dependency ECMAScript client library and CLI tool for Parler – a "free speech" social network that accepts real money to buy "influence" points to boost organic non-advertising content

A data set regarding news veracity comprised of data from disparate sources; including Facebook, several online news outlets, and Disqus. Published at ICWSM-18.

🚨 Rumor, Fake News, Misinformation Papers

This repository contains list of available fake news datasets for data mining.

Supplemental materials for Karduni et al. (ICWSM 2018) - "Can You Verifi This? Studying Uncertainty and Decision-Making about Misinformation in Visual Analytics"

This is the repository for the paper "The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News" accepted as a full regular paper by SIGIR 2018

This repository contains the study on plausibility of news.

Misinformation papers @ CSCW 2018 & ICWSM 2020.

Cornell Tech, Spring 2019

A public event calendar about trust, verification, fact checking & beyond, curated by the MisinfoCon community

Un piccolo progetto SPARK e SPARKSQL per fare delle analisi in un contesto distribuito su dati estrapolati da Twitter e salvati in MongoDB.

Content moderation papers @ ICWSM 2019 & AAAI 2020.

This repository provides several Python scripts to extract tweets possibly containing health misinformation. These tweets have replies semantically similar with official advice from health authorities such as the WHO and the CDC, inspired by the observations that some tweets were corrected by volunteer fact checkers with accurate information.

Health misinformation can spread rapidly during a crisis, as in the case of the COVID-19 pandemic. We provide a tool that collects Twitter posts that likely contain misinfo for use by fact checkers.

Duplicate Detection on Hoaxy Dataset

A collection of "Memetic Warfare" articles, social media posts, datasets, code implementations, and case studies

PhD Candidate

The harmful effects of social media.

Microsite for the Misinfo - #fakenews project. Preview here: https://misinfo.investigate.africa

A streaming machine learning platform for evaluating whether Facebook comments were made by a human or a bot, in real time.

Resources for learning, teaching and researching information disorder (misinformation, disinformation and mal-information).

The Application is developed to fight against the misinformation and fake news spread during the sensitive moment of pandemic.

We believe that curbing this subset of fake news would involve providing the necessary tools to journalists and users who take the time to sift through trustworthy content. In this light, our solution is to devise a methodology and program to assist a journalist to identify if an image and associated title are trustworthy. The fundamentals of our approach are based on corroboration of news, i.e, the image must be used in credible news websites with text similar to that of the associated title for the image and text to be reliable. If not, we recommend that the journalist (or user) perform a human verification procedure.