Building Civil Society Capacity to Mitigate and Counter Disinformation

Goal is to promote cross-border learning and networking on a wide range of existing initiatives and to develop new capacity in political participation, government transparency and election administration.

(Copied from website)

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)

Kontakt is a television and radio network that features Ukrainian-Canadian topics, as well as news from and about Ukraine. This network uses social media platforms and short video segments to challenge disinformation narratives propagated by prominent politicians.

Provides fact checking, explainers, and analytical articles, especially on issues of economic reform in Ukraine.

A project of the g0v civic technology community in Taiwan, CoFacts is a fact checking bot for messaging groups. Messages can be forwarded to the CoFacts bot for fact checking by a team of volunteers; the CoFacts bot can also be added to private groups, and will automatically share corrections if a fact-checked piece of false content is shared within the group.

(Adapted from website)

A set of information technology (IT) tools to enable citizens to analyze state budgets, in theory to develop critical thinking to counter politicians’ populist rhetoric on complex economic issues.

(Copied from website)

Pledge signed by political parties and technology/social network companies committing to avoiding fake news and mechanisms of disinformation that may affect upcoming elections.

(Independently written)

ZimFact is an independent, non-partisan Zimbabwean online fact-checking platform.

UX of Wikipedia Credibility

WikiUX takes a user-centred approach to address credibility. The project examines how end-users respond to different types of credibility signals, such as the structure of the page, tone of writing, and placement of citations within Wikipedia articles, as well as Wikipedia content that exists elsewhere on the web, such as within information cards on search and social platforms.

(Copied from website)

WeVerify’s aim is to address the advanced content verification challenges through a participatory verification approach, open source algorithms, low-overhead human-in-the-loop machine learning and intuitive visualizations. Social media and web content will be analysed for detection of disinformation; contextualised within the broader social web and media ecosystem; and misleading and fabricated content will be exposed as such, both through micro-targeted debunking and a blockchain-based public database of known fakes.