Search translations

Accuracy issues

This page has questionable factual accuracy.

With high accuracy, finds most problem edits.

With medium accuracy, finds most bad-faith edits.

Highly accurate at finding almost all problem-free edits.

Highly accurate at finding almost all good-faith edits.

Finds most flawed or damaging edits but with lower accuracy.

With medium accuracy, finds an intermediate fraction of problem edits.

Finds most bad-faith edits but with a lower accuracy.

With medium accuracy, finds an intermediate fraction of bad-faith edits.

Sections are identified automatically and the results are not always accurate.

Very highly accurate at finding the most obvious bad-faith edits.

Very highly accurate at finding the most obviously flawed or damaging edits.

Automatic translation provides a useful overview but it is not always accurate.

<strong>Note:</strong> The counts for categories are not accurate counts, but are based on estimates.

Machine translation is useful but {{GENDER:|you'll}} need to revise the text to make it accurate.

The information shown here comes from the GeoIP2 databases from MaxMind. It might not be fully accurate.

Due to missing [$1 TemplateData], parameters for this template have been auto-generated. Please be aware that they may not be accurate.

These predictions are made by a machine-learning service trained on a large set of edits scored by human editors. Stricter, more accurate filters find fewer false positives but miss more of their target. Less accurate filters find more of their target, but they also find more false positives.

These predictions about users' good faith are made by a machine-learning service trained on a large set of edits scored by human editors. Stricter, more accurate filters find fewer false positives but miss more of their target. Less accurate filters find more of their target, but they also find more false positives.

Accurate tags make it easier for all Commons users to find images, so please become [[mw:Special:MyLanguage/Manual:Autoconfirmed_users|autoconfirmed]], as only autoconfirmed users can use this tool.

By confirming suggested tags, you can help make images easier to search for. Tags are computer-suggested, but need to be validated by humans to ensure accuracy.

Use books, websites, and news sources to validate that Wikipedia is accurate, and add those to articles so that readers can feel confident that what they're reading is true.