Wikipedia:Labels/Edit types

In this labeling campaign, we'll label a random sample of TODO edits by the type of change that was made in the edit. This will allow us to train and test a machine learning model that detects these edit types later. See #Why?.

We're labeling edits based on Wikipedia:Labels/Edit_types/Taxonomy. See that page for more information about what each "edit intention" means.

Progress

Labeling of 2.2k revisions: 51.9% complete

List of volunteers

Why?

rich revision histories: enrich article revision history pages, user contribution pages, recent changes with tagged edits
predict contributor roles: study if wikipedian roles can be predicted from their edit types and design automated recommendations / recruitment strategies for articles in need of specific roles
article lifecycles: analyze the evolution of individual articles (by type of activities) and study how the article lifecycle has changed over time and across languages
edit types and editing interfaces: study if people make different types of edits as a function of the edit interface they are using
newbie task recommendations: Understand what tasks are most likely to be successfully picked up by newbies recommending minimizing reverts or deletions; study the engagement/retention effects of priming new contributors with the expected response to the quality and type of their contribution
wiki work visualizations: Make it easy to perform project-level or article-level data analysis / visualization by type of contributions