Global

Since 2012, they have been investigating the use of algorithms, automation, and computational propaganda in public life. Political bots are manipulating public opinion over major social networking applications. This project enables a new team of social and information scientists to investigate the impact of automated scripts, commonly called bots, on social media. They study both the bot scripts and the people making such bots, and then work with computer scientists to improve the ways they catch and stop such bots.

Tattle is a group of technologists, researchers, journalists and artists. We build tools and datasets to better understand and respond to (mis)information trends on chat apps and regional language social media in India. Our work is geared towards:

- Journalists and fact checkers
- Researchers
- Motivated individuals who wish to do local fact-checking/debunking

The backbone of this project is an archive of content circulating on chat apps and social media; and APIs for multi-lingual and multi-modal search. All the code is open source and licensed under GPL 3.0.

Take Back The Tech! is a call to everyone, especially women and girls, to take control of technology to end violence against women. It's a global, collaborative campaign project that highlights the problem of tech-related violence against women, together with research and solutions from different parts of the world. The campaign offers safety roadmaps and information and provides an avenue for taking action. Take Back the Tech!

The Wikipedia Community's Platform Against Disinformation

Sourceror leverages Wikipedia’s credibility data to improve media literacy and combat disinformation on the web. The platform provides a browser extension that informs Internet users of the quality of the content they consume, and an API that enables developers to incorporate the Wikipedia community’s reliability evaluations into new technologies.

(Copied from website)

A Collaborative News Site

Mixing crowdsourcing, Wikidata’s rich catalogue of information, and a network that spans thousands of newsrooms, Source Scour will identify key areas where more information is needed and help journalists, researchers, and policymakers quickly spin up well-sourced, verified data sets with the answers the public needs. Source Scour builds on the existing crowdsourcing software (https://www.muckrock.com/assignment/) created by MuckRock/DocumentCloud and used by thousands of newsrooms around the world.

Social Science One implements a new type of partnership between academic researchers and the private sector to advance the goals of social science in understanding and solving society’s greatest challenges. Our mutually incentive-compatible approach enables academics to analyze and use the increasingly rich troves of information amassed by companies to address societal issues, while protecting their respective interests and ensuring the highest standards of privacy and data security.

How it Works

When misinformation obscures the truth and readers don’t know what to trust, Snopes.com’s fact checking and original, investigative reporting lights the way to evidence-based and contextualized analysis. We always document our sources so readers are empowered to do independent research and make up their own minds.

The Share the Facts widget provides a new way for readers to share fact-check articles and spread them virally across the Internet. The compact Share the Facts box summarizes the claim being checked and the fact-checkers’ conclusion in a mobile-friendly format. The widgets have a consistent look but can be customized with the fact-checkers’ logos and ratings, such as Pinocchios or the Truth-O-Meter.

The Scribe reference API will list references based on usage and domain by language. This API is a useful tool for Scribe, but also outside the project can be widely used whenever the credibility of references from a Wikipedia perspective needs to be referred to. Understanding the reusability of Wikipedia references can scale to a variety of other projects. You can read and comment on the grant application here: https://wikiconference.org/wiki/2019/Grants/Scribe%27s_reference_API

RoveR is an app to help you spot real over rubbish news!
1. You can upgrade your skills through a series of in-depth and fun learning modules where you master questions such as "what is credible news?"
2. You can test how good your newly acquired skills are by taking our different challenges and quizzes.
3. You can check the credibility of a website in real time and share your own thoughts by rating the stories you read.