Platform Specific Engagement for Information Integrity

Communalytic is a computational social science research tool for studying online communities and discourse. This resource uses advanced text and social network analysis techniques to automatically pinpoint toxic and anti-social interactions, detect bots, assess posts’ sentiments, identify influencers, map shared interests and the spread of misinformation, and detect signs of possible coordination among seemingly disparate actors.

There are two versions:

The ICFJ Knight Fellowship programme in Nigeria is building collaborations among journalists, fact checkers and social media influencers to combat misinformation about health and other critical issues in Nigeria. With more than 33 million monthly Facebook users and 25 million monthly Twitter users, Africa’s most populous country is known for a lively and free-wheeling social media climate replete with rumors and false information.

Internews’ Thwarting Disinformation and Promoting Quality Information in Haitian Media project will limit the impact of inflammatory rhetoric, false news and disinformation. The project strengthens understanding of the challenges facing Haiti’s information environment and equip local CSOs with the tools and skills to thwart disinformation and promote reliable, trusted and relevant information.

The Facebook Digital Literacy Library is hosted by Facebook and currently includes learning resources made available by Youth and Media at the Berkman Klein Center for Internet & Society at Harvard University under a Creative Commons Attribution-ShareAlike 4.0 International license.

The Election Observation Mission (La Misión de Observación Electoral, MOE) is an election observer group based in Colombia. In the 2019 Colombia elections and in others, including the 2016 peace referendum, they have formed partnerships with Facebook and Twitter both for creating awareness of voting processes and other democratic issues throughout hashtags and online campaigns, and also set up systems for reporting harmful content on those platforms. MOE also worked with a network of universities for online and media monitoring of content during the 2019 elections cycle.

Prior to 2019 elections, the Election Commission of India was able to convene representatives from top social media companies for a two-day brainstorming session on approaches to problematic social media content in elections. Technology and social media companies then signed on to a voluntary Code of Ethics that outlined the nature of collaboration between the EMB and the companies.

Provides a framework for NDI's DemTech team to lead and support institutional initiatives countering disinformation and other forms of online manipulation, while strengthening and ensuring the integrity of the information space.

(Copied from website)

As far as we are aware, “What’s Crap on WhatsApp?” is the first show of its kind. We’re going to fight WhatsApp misinformation on WhatsApp in a format designed for WhatsApp.

Fact-checking organisations have traditionally tried to attract readers to websites, video and social media. But we’re taking our show to people on WhatsApp in a format widely used on the platform.

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

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