Tag: Wikipedia data
Data Projects: Building Interactive Visuals From Wikipedia Datasets
Learn how to turn raw Wikipedia data into engaging interactive stories. We cover data extraction, cleaning, and visualization techniques for modern data journalism.
Community Health Surveys on Wikipedia: Key Indicators Explained
Discover which community health survey indicators truly matter. Learn how self-reported data, social determinants, and demographic breakdowns shape our understanding of public health on Wikipedia.
Why Wikipedia Data Fails Causal Inference: Key Limitations
Discover why using Wikipedia data for causal inference leads to biased results. Learn about self-selection bias, revision history issues, and practical tips for better analysis.
How Large Language Models Train on Wikipedia's Content
Discover how Large Language Models utilize Wikipedia's structured data for training. We break down the extraction, cleaning, and pre-training processes that turn encyclopedic entries into intelligent AI responses.
How Wikipedia Data Powers AI Training and Machine Learning Models
Explore how Wikipedia serves as a crucial dataset for training AI models, covering data processing, ethical considerations, and real-world applications in machine learning.
How Researchers Use Wikipedia Data and Edit Histories
Researchers use Wikipedia's edit histories to study how knowledge forms, spreads, and is manipulated. From tracking bias to training AI, this free encyclopedia is now a vital tool for science.
Lua Modules on Wikipedia: How They Power Templates and Data
Lua modules power Wikipedia's templates and data displays, replacing messy wiki markup with clean, reusable code. They handle citations, infoboxes, and dynamic content behind the scenes-faster, safer, and more reliably than ever before.
How Wikidata-Powered Infoboxes Keep Wikipedia Consistent Across Languages
Wikidata-powered infoboxes let Wikipedia maintain accurate, synchronized facts across 300+ languages. One edit updates every version - making global knowledge sharing possible.
Copyright and Attribution: When AI Systems Use Wikipedia Data
AI systems rely heavily on Wikipedia for training data, but rarely give credit. This article explores the legal, ethical, and cultural consequences of using open knowledge without attribution-and what needs to change.
Querying Wikipedia with the API: Practical Examples for Editors
Learn how Wikipedia editors use the API to automate tasks like checking citations, finding broken links, and tracking edits. Practical examples for non-programmers.
Wikipedia API: How to Access Wikipedia Data Programmatically
Learn how to access Wikipedia's free data programmatically using its official API. Get summaries, images, and structured facts without scraping-perfect for bots, apps, and research tools.
