Edit Review Improvements/New filters for edit review/es



Los nuevos filtros para la revisión de ediciones es un grupo de mejoras diseñadas para ayudar a los revisores de ediciones a ser más eficientes y efectivos en las páginas como «Cambios recientes», «Lista de seguimiento» y «Cambios relacionados».

Una meta adicional del proyecto es ayudar a los nuevos colaboradores que, según una investigación, necesitan un proceso de revisión de ediciones más asistido. Las nuevas herramientas lo logran al permitirle a los revisores identificar, por primera vez, las ediciones de los voluntarios nuevos que cometen errores pero que actúan de buena fe.

The New Filters for Edit Review introduce an easier yet more powerful filtering interface as well as a whole list of new filters and other tools, including live page updating, user-defined highlighting, the ability to save filter sets for re-use, and predictive filters powered by machine learning. This page summarizes the new tools and other benefits the project provides. The documentation pages can help you learn how to most effectively use these new capabilities. The New Filters were created by the Global Collaboration Team.

¿Qué hay de nuevo en los «nuevos filtros»?
The following items describe key additions and enhancements of the New Filters for Edit Review project.

Predicciones sobre la calidad de las ediciones
Disponibles solamente en algunas wikis de Wikimedia

The “Contribution quality” filters offer predictions about edits. Are edits likely to to be of high quality or to have problems? With those filters, it is easier to search for good edits, to thank or help productive contributors. The filters can also detect bad-quality edits and help patrollers to improve them.

ORES, a machine learning service, makes the quality predictions based on statistics. ORES has been trained on a large set of edits, previously scored by human editors. These quality predictions filters are available only on wikis, where the ORES “damaging” test is enabled.

Información adicional sobre las predicciones de calidad de las ediciones.

Predicciones sobre la buena voluntad de los usuarios
Disponibles solamente en algunas wikis de Wikimedia

The “User intent” filters offer predictions about whether edits were made in good faith or not. With those filters, it is easier to search for edits made in good-faith, by good-faith users. By enabling detection of bad-faith edits, filters assist reviewers looking for vandalism.

Like the Quality filters above, these predictions are made by the machine-learning service ORES, based on statistics. These intent predictions filters are available only on wikis, where the ORES “damaging” test is enabled.

Información adicional sobre las predicciones de intención de los usuarios.

Búsqueda por nivel de experiencia
Three new filters let you search by the experience level of editors who are making changes. These filters can be useful in a number of ways. For example, research shows that new editors are particularly vulnerable to rejection. The Newcomers filter enables reviewers to treat new users with the care they require.

These are the three new experience levels:


 *  - (corresponds to autoconfirmed status on English Wikipedia).
 *  - (corresponds to extended confirmed status on English Wikipedia).
 *  - (corresponds to extended confirmed status on English Wikipedia).

The filters return the edits only of users who are currently logged in.

Learn more about filtering.

Search by new change types
In the past, reviewers had the ability to hide Category changes and Wikidata edits only.

The New Filters add three additional “Types of change” filter:
 *  lets you filter for changes to content and discussion pages.
 *  lets you use Recent Changes to patrol new pages.
 *  lets you isolate—or exclude—things like account creations, page deletions and administrative actions generally (the events tracked on Special:Log).

Get (only) the latest
The “” filters let you choose to see only the most recent edit to any given page. All prior changes on that page will be omitted.

Watch your Watchlist (from Recent Changes)
Use the “” filters group on Recent Changes to isolate or highlight changes made on pages you watch.

See the ‘Unseen’ (on Watchlist)
Función en pruebas, solamente para la lista de seguimiento

On Watchlist, use “” and “” filters (in the “” group) to identify changes to pages you have or haven’t visited since the changes occurred.

Search by namespaces and particular edits
Search by namespace

Filter namespaces to narrow your search.

Search by tags

Filter tags used on your wiki to find particular edits.

Make results more meaningful with Highlighting
Highlighting lets reviewers apply color intelligently to emphasize edits that match desired criteria. Used correctly, highlighting adds meaning to  Recent Changes search results and can help you find what you’re looking for more quickly.

Learn how to use highlighting.

Bookmarking: save and reuse your settings
The New Filters provide a lot of new functionality. To help you manage the wealth of options conveniently, we’ve provided the ability to save sets of filters, by name, for later use. Just click the bookmark icon to save your current settings. You’ll find all your saved settings in the “” menu, where you can easily switch among them.

Learn how to bookmark filters.

Manage preference right on the page
With bookmarks, you can declare a set of saved filters as your default. Those settings will load automatically every time you visit the page. This means you no longer need to visit the Preferences page to set your preferred behavior.

We plan to remove all redundant Recent Changes and Watchlist preferences, consolidating the remaining options on one tab.

Actualizaciones en directo
A much-requested feature, “Live update” lets you use Recent Changes for near-real-time monitoring. In Live Update mode, the Recent Changes page automatically adds new changes to the top of the search results every three seconds.

Más fácil de usar
To make the sophisticated functionality offered by the New Filters as friendly as possible, the filtering interface has been completely re-imagined. Functions are grouped logically and explained clearly. An "" area shows at a glance what your settings are. And a smart help system provides in-context guidance.

Descubre la nueva interfaz.

Más potente
In a number of ways, the New Filters are organized using a different logic from the old ones. For example, by putting related filters into logical groups, the New Filters enable users to intelligently broaden or narrow their searches. Similarly, most previous Recent Changes filters offered only a simple option to  hide a certain property (X). By augmenting those old filters so that they now let users show or hide both X and its opposite (notX), the current tools provide more control. For example, previously, one could show Wikidata edits or hide Wikidata edits, but one could not show only Wikidata edits.

Información adicional sobre los filtros.

En los cambios recientes (y en los Cambios relacionados)
Los nuevos filtros están disponibles como una función en pruebas para las páginas «Cambios recientes» y «Cambios relacionados» desde mayo de 2017. El equipo de Colaboración Global ha trabajado desde entonces en múltiples sugerencias de funciones nuevas e informes de errores proporcionados por miembros de la comunidad y otros. Las funciones han pasado por múltiples fases de pruebas por parte de los usuarios y en general han tenido una recepción muy positiva.

La fase de pruebas de los principales filtros mencionados anteriormente concluirá en septiembre u octubre de 2017 y pasarán a formar parte estándar de MediaWiki; solo en la página de cambios recientes. Los usuarios que no deseen usar las mejoras pueden desactivarlas en sus preferencias.

Entretanto, el equipo de Colaboración Global continuará agregando nuevas funciones de pruebas y corrigiendo problemas. ¡Danos tus sugerencias!

En la lista de seguimiento
Los suscriptores a la función en pruebas dispondrán de los nuevos filtros en su lista de seguimiento a partir de septiembre de 2017.

Véase también

 * Documentación para los programadores sobre cómo crear filtros nuevos.