A public event calendar about trust, verification, fact checking & beyond, curated by the MisinfoCon community
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Updated
Jul 17, 2017 - HTML
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.
Duplicate Detection on Hoaxy Dataset
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 ou…
A project on designing a deceptive data graphic. Dataset from Toronto's Open Data portal: https://portal0.cf.opendata.inter.sandbox-toronto.ca/dataset/immunization-coverage-for-students/
A collection of "Memetic Warfare" articles, social media posts, datasets, code implementations, and case studies
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.
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.
Supplemental materials for Karduni et al. (ICWSM 2018) - "Can You Verifi This? Studying Uncertainty and Decision-Making about Misinformation in Visual Analytics"
An attempt to detect potential misinformation spreaders during disaster.
Unbiased, Verified, Analyzed News to Tackle Misinformation. Winner of HackGT NewsQ 1st Prize
An application curated to crisis zones to facilitate the dissemination of accurate mission-critical information from sources on the ground to key partners with minimal lag time.
Deep Learning implementations for Baselines of Misinformation Stance Detection Datasets
This is a project to create a database of statements with a Politifact score, and a multiple methods of identifying the statements. The client will send the server statements to be identified. The related chrome extension is here: https://github.com/aviboddu/MisinformationCheckerExtension
Repository for the COLING 2020 paper "Explainable Automated Fact-Checking: A Survey."
This repository contains list of available fake news datasets for data mining.
Verify React Native Application
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