Help:New filters for edit review/fr

New Filters for Edit Review add new filtering and other tools as well as a filtering interface to Special:RecentChanges and Special:RecentChangesLinked (initially).

These tools help reviewers to better target their efforts and be more efficient. They also have the potential to particularly benefit new contributors, who require a more supportive edit-review process, according to research.

To learn about the parts of the improved user interface visit the quick tour. To learn how to use the advanced functions provided, explore the pages described below.

The roll out of this new feature starts in March 2017. The “New filters for edit review” beta is not initially available on mobile.

Fonctionnalités principales

 * Cette page explique comment améliorer l'interface de filtrage et comment tirer un maximum de ce nouvel outil
 * Cette page explique comment améliorer l'interface de filtrage et comment tirer un maximum de ce nouvel outil


 * User-defined Highlighting tools let you use color to emphasize the edits that interest you most. The functions and techniques described on this page will help you to make your Recent Changes results more meaningful.
 * User-defined Highlighting tools let you use color to emphasize the edits that interest you most. The functions and techniques described on this page will help you to make your Recent Changes results more meaningful.


 * "New filters for edit review" introduces two filter groups—Contribution Quality and User Intent—that are powered by machine learning and work differently from other filters. They offer probabilistic predictions about, respectively, whether or not edits are likely to contain problems and whether the user who made them was acting in good faith. Knowing a bit about how these unique tools work will help you use them more effectively.
 * "New filters for edit review" introduces two filter groups—Contribution Quality and User Intent—that are powered by machine learning and work differently from other filters. They offer probabilistic predictions about, respectively, whether or not edits are likely to contain problems and whether the user who made them was acting in good faith. Knowing a bit about how these unique tools work will help you use them more effectively.


 * Sauvegarde et restaure les filtres favoris
 * Sauvegarde et restaure les filtres favoris


 * Les résultats filtrés sont mis à jour régulièrement
 * Les résultats filtrés sont mis à jour régulièrement

Voir aussi

 * Questions les plus fréquemment posées
 * Questions les plus fréquemment posées


 * Discussions en cour et retour des utilisateurs
 * Discussions en cour et retour des utilisateurs

Autres ressources

 * Powerful new search tools help edit patrollers find their targets, blog de Joe Matazzoni