Wikipedia thrives when editors apply their knowledge and judgment to improve articles. In this exercise, you'll review and edit real articles following Wikipedia's core content policies — and learn about your own editing patterns in the process.
~25 minutes · No account needed · See your editing insights at the end
Review and improve two Wikipedia articles. Focus on clarity, accuracy, verifiability, and any information you believe should be included.
You'll receive a real Wikipedia article. Read through it and apply your editorial judgment — checking for verifiability, neutral point of view, and completeness, just as you would on Wikipedia itself.
Update the article for accuracy and completeness. You can use any sources you'd normally rely on — news sites, academic papers, your own expertise. Add citations where appropriate.
After editing, you'll receive a personalized dashboard showing your editing patterns — which sections you focused on, how you spent your time, and what kinds of changes you made.
Wikipedia is one of the most visited websites in the world, but keeping articles accurate and up-to-date is a constant challenge. Articles on fast-moving topics — health, technology, policy — can fall behind within months as new developments emerge and public understanding evolves.
This exercise is part of ongoing research at WikiCredCon into how editors approach article improvement, what information sources they draw on, and how we can better support the editorial process that makes Wikipedia reliable.
Your participation helps us understand the editing process and contributes to research on collaborative knowledge building.
This exercise is developed by SimPPL, a tech nonprofit building tools to improve trust in online information, and presented at WikiCredCon 2026, the Wiki Credibility Conference.
SimPPL has received support from the Wikimedia Foundation, Google, and organizations working on information credibility. Our tools help researchers, journalists, and editors understand how information spreads across platforms.
All data is anonymized for research purposes.
You'll review an informed consent form before beginning.