GapFinder is a set of tools designed to find and provide methods to fill content coverage gaps in Wikipedia. It is being actively developed in order to more flexibly test recommendation algorithms' impacts on content creation and gather further feedback from users about the service.
|“||Each day, thousands of volunteer editors are filling knowledge gaps by creating new Wikipedia articles, translating existing ones, and identifying poorly covered topics in any given language. However, discovering and deciding what to edit can be a daunting task, both for editors who are new to Wikipedia and for more-seasoned ones.||”|
GapFinder is a set of tools to provide personalized recommendations of tasks to editors. Editors are able to provide a seed article to the tool in order to get recommendations that are similar to their interests.
Recommend articles for creation that exist in one language but are missing in another.
Recommend sections to add to existing articles. These recommendations are in an experimental state, as the research project is ongoing. They can be explored using the alpha version of GapFinder.