|This page documents an English Wikipedia editing guideline.|
The following system is used by the Wikipedia:Version 1.0 Editorial Team for assessing how close we are to a distribution-quality article on a particular topic. The system is based on a letter scheme which reflects principally how factually complete the article is, though language quality and layout are also factors.
The quality assessments are mainly performed by participants in WikiProjects, who tag talk pages of articles. These tags are then collected by a bot, which generates output such as a log and statistics. For more information, see Using the bot. (Note that when more than one WikiProject has rated an article, the bot will take the best rating as the rating of the overall article.) The WP:1.0 team is planning to set things up to use a second bot to select articles, based on the assessments performed by WikiProjects.
Two levels, GA (Good Article) and FA (Featured Article), are assessments made by independent editors, rather than by WikiProjects. GAs are generally reviewed by a single editor, and FA by a panel. Candidates are nominated by listing them at WP:Good article nominations and WP:Featured article candidates. Judgments are made according to the criteria at WP:Good article criteria and WP:Featured article criteria, and the results are listed at WP:Good articles and WP:Featured articles.
It is vital that editors not take these assessments of their contributions personally. It is understood that we each have our own opinions of the priorities of the objective criteria for a perfect article. Generally an active project will develop a consensus, though be aware that different projects may use their own variation of the criteria more tuned for the subject area, such as this. More active WikiProjects have an assessment team. If you contribute a lot of content to an article you may request an independent assessment.
At present this assessment system is in use in the Wikipedia 1.0 project, and in several hundred WikiProjects on the English Wikipedia. As of November 2022, over seven million articles have been assessed. Several other languages are also using this assessment system or a derivative thereof.