ORES 리뷰 도구
ORES provides automated scoring of revisions in order to aid editors. For example, ORES can predict whether or not an edit is vandalism, as well as the overall quality level of an article. See ORES' documentation for more information about what types of scoring are available.
If the ORES extension is activated, you can enable the review tool within your user account by looking under the "beta features" section of Special:Preferences.The review tool will augment Special:RecentChanges and Special:Watchlist by highlighting and flagging edits (with a red-colored r) that need review, because the ORES prediction model judges them to be "damaging". You will also be able to filter these lists by selecting the "Hide probably good edits" option. When you select this option, the review tool will hide any edits that ORES judges to be unlikely to be damaging.
If you review an edit and realize it is not vandalism, you can simply mark it as "patrolled", and the highlighting and flag will be removed.
You can change the sensitivity of ORES in your preferences (under the "Recent changes" tab) to "High (flags more edits)" or "Low (flags fewer edits)". You can also choose to make "Hide probably good edits" selected by default.
How does ORES detect damaging edits?
Why use the term "damaging" instead of "vandalism"?
"Vandalism" is just a subset of what we want to catch when we're doing RC Patrolling. The word "vandalism" implies deliberate malicious intent. However, a patroller's job is to look for damaging edits whether the damage was actually intended or not. Therefore, referring to the edits that the review tool flags as "damaging" is more true to the kind of work the system is designed to support.
Note that the ORES service also provides a model that focuses on the good-faith/bad-faith distinction ("goodfaith"). It'll be easier to take advantage of that when we deploy the next major change to filtering on the RC page for the review tool. See the Including new filter interface in ORES review tool topic under discussion.
See ORES#Edit quality for more information about how "edit quality" is evaluated in ORES.