ORES review tool/ko

ORES 리뷰 도구는 the key user-facing feature of the ORES 확장. The review interface integrates the scores generated by the ORES 서비스 into 미디어위키의 인터페이스 입니다. 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.

ORES 사용하기
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  ) 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?
ORES uses machine learning strategies to "learn" what damaging edits look like, by reviewing examples created by Wikipedians through Wiki labels.

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.