In this session, we will explore the tools and workflows used by the Wikimedia community to identify and map knowledge gaps on Wikipedia. Knowledge gaps are an important concept which puts our ability to serve our users at risk. We will start with an overview of existing knowledge gaps, followed by a hands-on demonstration of tools that help categorize and track missing articles. While current tools allow editors to track gaps, there is a need for more nuanced tools that prioritize gaps based on criteria such as notability, urgency, and relevance—topics that will be discussed in the session. We will also explore how WikiProjects and curated wishlists facilitate collaboration in addressing knowledge gaps within specific topic areas.
Additionally, we will cover less explored workflows like keyword indexing, API queries, and navboxes to help editors systematically identify missing content and underrepresented topics. Participants will also learn about the potential of machine-augmented workflows, including bots and automated tools, to maintain up-to-date lists and flag knowledge gaps.
By the end of the session, participants will have a deeper understanding of the current state of knowledge gap mapping on Wikipedia and how these tools and workflows contribute to enhancing the platform. They will leave with practical insights on how to incorporate these tools into their own editing practices or community-building initiatives.