<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Wikimedia Enterprise - Insights</title><description>Deep dives into how Wikimedia works and what it means for reusers: editorial processes, data structures, credibility signals, and free knowledge at scale.</description><link>https://enterprise.wikimedia.com/</link><item><title>SimPPL Uses Wikimedia Enterprise to Map Online Conversations and Fact-Check Social Media</title><link>https://enterprise.wikimedia.com/blog/how-simppl-fact-checks-social-media/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/how-simppl-fact-checks-social-media/</guid><description>SimPPL uses Wikimedia Enterprise APIs to ground its social media fact-checking pipeline and surface real-time context for Wikipedia editors. SimPPL monitors the information ecosystem by indexing posts receiving 100 billion views a month across 9 social media platforms. To turn this mountain of text into verifiable intelligence, SimPPL cross-references social media claims against the structured data provided by Wikimedia Enterprise.</description><pubDate>Tue, 16 Jun 2026 15:57:00 GMT</pubDate><category>Insights</category></item><item><title>How Databricks Parsed Wikipedia to Markdown with Python</title><link>https://enterprise.wikimedia.com/blog/how-databricks-parsed-wikipedia-to-markdown-with-python/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/how-databricks-parsed-wikipedia-to-markdown-with-python/</guid><description>How Databricks used Structured Contents and Apache Spark to convert millions of Wikipedia articles to Markdown at scale, skipping regex-heavy wikitext parsing.</description><pubDate>Tue, 26 May 2026 15:45:00 GMT</pubDate><category>Insights</category></item><item><title>How CivicLens Uses Wikidata APIs to Make Civic Data More Accessible</title><link>https://enterprise.wikimedia.com/blog/how-civiclens-uses-wikidata-apis/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/how-civiclens-uses-wikidata-apis/</guid><description>Ryland Hale wanted to make it easier for people to see what their politicians are actually doing. His project, CivicLens, pulls from sources like Congress.gov, LegiScan, the FEC, and Wikipedia to show voters exactly who represents them and how they vote.</description><pubDate>Tue, 28 Apr 2026 12:55:00 GMT</pubDate><category>Insights</category></item><item><title>Ecosia Enriches Search Results and AI Answers with Wikimedia Enterprise</title><link>https://enterprise.wikimedia.com/blog/ecosia-enriches-search-results-and-ai-answers/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/ecosia-enriches-search-results-and-ai-answers/</guid><description>Ecosia, the search engine that uses 100% of its profits for the planet, provides a search experience with a positive environmental impact. Ecosia is conscious about its data sources: it aims to provide search functionality that provides clear and truthful results quickly, with links to sources and correct attribution. That&apos;s why Ecosia partnered with Wikimedia Enterprise last year to continue providing its users with knowledge from trusted sources of information, curated and maintained by a thriving community of Wikimedians. Let&apos;s dive into how Ecosia implemented knowledge panels, attributes its sources, and is improving search with AI.</description><pubDate>Mon, 16 Feb 2026 16:42:29 GMT</pubDate><category>Insights</category><category>partner</category></item><item><title>Understanding Credibility Signals in Wikimedia Enterprise API</title><link>https://enterprise.wikimedia.com/blog/understanding-credibility-signals-in-wikimedia-enterprise-api/</link><guid isPermaLink="true">https://enterprise.wikimedia.com/blog/understanding-credibility-signals-in-wikimedia-enterprise-api/</guid><description>Unlock deeper insights into Wikipedia content with Wikimedia Enterprise&apos;s Credibility Signals. Learn how these tools provide critical context, empowering informed decisions for AI models, knowledge graphs, and beyond.</description><pubDate>Fri, 16 Aug 2024 01:47:57 GMT</pubDate><category>Insights</category><category>credibility-signals</category></item></channel></rss>