A teacher trying Kiwix

First grants announced from the Wikimedia Endowment to support technical innovation across Wikipedia and Wikimedia projects

The Wikimedia Endowment, the long-term fund established in 2016 to support the future of Wikimedia sites, has announced its first recipients of grant funding. The initiatives that will receive grant funding include Abstract Wikipedia, Kiwix, Machine Learning, and Wikidata.

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Twitter bots powered by Wikipedia: An interview with Darius Kazemi, internet artist

We wanted to learn more.

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Making women more visible online—with Wikidata tools!

To celebrate International Women's Day and Women's History Month, Wikimedians around the world make a concerted effort each March to add and edit articles about women in Wikipedia. You can also have an impact (and fun!) by adding information about women to Wikidata, Wikimedia's multilingual knowledge base. And there are quite a few interesting and fun, volunteer-developed tools to help you with that.

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How we’re using machine learning to visually enrich Wikidata

Only 2.5 million of 45 million Wikidata items have an image attached. A new algorithm helps people find relevant and high-quality images to add to Wikidata items.

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From the life of Wikidata

With the Wikidata Concepts Monitor (WDCM) we can now begin to discover how our communities use knowledge across more than Wikimedia 800 projects.

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Wikimedia Foundation receives $3 million grant from Alfred P. Sloan Foundation to make freely licensed images accessible and reusable across the web

The funding will support Wikimedia community efforts to enable structured data on Wikimedia Commons, the free media repository with more than 35 million media files.

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Why you should be paying attention to Wikidata and GLAM

As a collaborative project, Wikidata is looking for more partners to fill in data gaps. Every one of the initiatives listed above needs help matching data from important collections to existing Wikidata entries, or help for the Connected Open Heritage community in prioritizing the next source of cultural data to target and improve.

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