Wikipedia:Labels/Edit types
File:Edit categories history page.svg
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
{{Progression|1140|2196|task=Labeling of 2.2k revisions}}
List of volunteers
- {{User|EpochFail}}
- {{User|Mdann52}}
- {{User|He7d3r}}
- {{User|DarTar}}
- {{user|ONUnicorn}}
- {{User|Epicgenius}}
- {{User|TheMagikCow}}
- {{User|Kharkiv07}}
- {{User|Stuartyeates}}
- {{User|Noyster}}
- {{User|Masssly}}
- {{User|Blackmane}}
- {{User|Diyiy}}
- {{User|Econterms}}
- {{User|JMatazzoni (WMF)}}
- {{User|Okutodue}}
- Your name here
Why?
{{main|:m:Research:Automated classification of edit types}}
;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