Wikipedia News Desk
When you think of Wikipedia, the free online encyclopedia built by volunteers around the world. Also known as the world’s largest crowd-sourced reference, it’s not just a static site—it’s a living project shaped by thousands of editors, policy debates, and tech updates every week. Behind the scenes, the Wikimedia movement, the global network of volunteers, chapters, and organizations supporting Wikipedia is constantly adjusting rules, tools, and priorities. From new anti-vandalism bots to changes in how edits are reviewed, these shifts affect every article you read.
Editor trends are shifting too. Fewer people are joining as regular contributors, while more focus is going into fixing bias, improving citations, and fighting misinformation. Meanwhile, events like Wikimania, the annual global gathering of Wikipedia editors and developers reveal what’s next—whether it’s better mobile tools, AI-assisted editing, or new ways to involve non-English communities.
Here, you’ll find clear, no-nonsense updates on what’s actually changing on Wikipedia—not rumors, not hype. Just what’s happening, why it matters, and who’s driving it.
OAuth and Permissions: Secure Access for Wikipedia Tools
Learn how to implement OAuth for secure Wikipedia API access. Covers registration, permissions, and best practices for developers building tools.
Medical Journalism on Wikipedia: Ensuring Accuracy in Health Information
Explore how Wikipedia maintains accuracy in health information through strict policies, volunteer communities, and reliable sourcing. Learn about the challenges and safeguards in medical journalism.
Why Press Releases and Corporate Blogs Fail as Wikipedia Sources
Discover why press releases and corporate blogs fail as Wikipedia sources. Learn the rules of editorial independence and how to find reliable, independent citations for your edits.
How to Fix Systemic Bias in Multilingual Wikipedia: A Practical Guide
Explore how systemic bias skews multilingual Wikipedia and discover practical strategies to bridge the digital divide through local community engagement and technology.
Legal Risks: Database Rights, Fair Use, and AI Trained on Wikipedia
Explore the legal clash between Wikipedia and AI giants over data rights. Learn how fair use, database rights, and licenses shape the future of generative AI.
How Encyclopedias Can Stop Disinformation Using Fact-Checking Tactics
Explore how online encyclopedias can combat disinformation by adopting rigorous fact-checking methods, AI detection tools, and collaborative verification strategies to restore trust in digital knowledge.
How to Write Local Reporting for Wikinews: A Guide to City and Regional Events
Learn how to write effective local reporting for Wikinews. This guide covers finding regional stories, maintaining neutrality, sourcing facts, and avoiding common mistakes in citizen journalism.
Wikipedia Revision Deletion Best Practices: A Guide for Administrators
Learn the essential best practices for Wikipedia administrators handling revision deletion. Understand when to use RevDel vs Oversight, how to interpret ORES scores, and avoid common pitfalls in content moderation.
ORES Scores and Quality Prediction on Wikipedia: What They Mean
Understand ORES scores on Wikipedia. Learn how machine learning predicts article quality, detects vandalism, and helps you judge the reliability of online information.
How to Request and Respond to a Wikipedia Peer Review
Learn how to request and respond to a Wikipedia peer review to improve article quality. This guide covers step-by-step instructions, common pitfalls, and tips for effective collaboration with WikiProjects.
Inside Wikipedia's Counter-Vandalism Unit: How Editors Fight Spam and Sabotage
Explore how Wikipedia's volunteer-driven Counter-Vandalism Unit uses bots, algorithms, and human judgment to fight spam, bias, and sabotage on the world's largest online encyclopedia.
Wikipedia's Use of Academic Journals: Strengths and Limitations
Explore how Wikipedia uses academic journals to build credibility, facing challenges like paywalls and misinterpretation. Learn practical tips for verifying sources and understanding the platform's strengths and limits.