BR-Discussion detector
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Description

Bold-Revert-Discuss is an essay about good wiki practices. Not all reverts need discussion, but many do. Which reverts tend to get discussion?

It's possible that we would be able to find indicators that curation action (like a revert for damage) is going to cause substantial disagreement?

We might train a learning machine to flag these scores and prioritize them for human (or maybe human-who-likes-to-talk-to-other-humans) review.

awight created this task.Dec 14 2016, 6:19 PM
Halfak renamed this task from Spike: Do we dare have ML assistance in meta-ORES? to [Spike] Do we dare have ML assistance in meta-ORES?.Dec 15 2016, 3:23 PM
Halfak renamed this task from [Spike] Do we dare have ML assistance in meta-ORES? to BR-Discussion detector.Jan 19 2017, 3:45 PM
Halfak updated the task description. (Show Details)
Halfak moved this task from Backlog to Ideas on the Scoring-platform-team board.