This is a task to organize the work of introducing an Edit Check that prompts people when Wikipedia detects them using – what volunteers would agree to be – a non-neutral tone.

Stories

1. As an experienced volunteer/moderator motivated to ensure that Wikipedia offers people that is impartial, I want everyone contributing new text content in the main namespace to make an effort to ensure people encountering the information they are contributing will perceive it as neutral so that I am relieved of the burden of doing so myself.

2. As someone who is new and motivated to contribute – what I consider to be – valuable + missing knowledge to Wikipedia, I want to know what I'm contributing adheres to relevant policies and conventions, so that I, and other people, can access this knowledge across time.

Project Objectives

1. Encourage people who are new to write in a neutral tone by providing specific, relevant, and actionable feedback
2. Reduce the rate at which people who are new publish new content to Wikipedia that volunteers reviewing said edits are aligned in seeing as containing biased or promotional language
3. Improve constructive activation by inspiring people who are new to "neutralize" what they've written before experienced volunteers undo what they have done
4. Enable experienced volunteers to observe the model's behavior and provide feedback that improves its accuracy/precision.

Prototype

Last updated: 27 May 2025
https://patchdemo.wmcloud.org/wikis/1b1089a907/wiki/Main_Page

User experience

See T382722

Prioritization

The Editing Team is prioritizing work on an Edit Check of this sort is built upon the following:

1. Offering information **neutrally* is a core pillar of Wikipedia
2. Many newcomers are not adding text to Wikipedia that volunteers consider neutral
   • A little over half (56%) of all new content edits by newcomers and Junior contributors included one of the identified peacock-related words | source
3. "2)" creates more work for experience volunteers and can lead to feedback newcomers are discouraged by
   • 22% of all new content edits by newcomers and Junior Contributors that contain at least one of the identified peacock words is reverted. This represents a 46.7% increase (+7 percentage points) in the likelihood of being reverted compared to an edit without a peacock-related word. | source