Blog post: https://blog.wikimedia.org/2015/11/30/artificial-intelligence-x-ray-specs/

Docs on Meta: https://meta.wikimedia.org/wiki/ORES 

First off: what’s revision scoring? On the surface, it’s a set of open APIs allowing you to automatically “score” any edit and measure their probability of being damaging or good-faith contributions. The real goal behind this project, though, is to fix the damage indirectly caused by vandal-fighting bots and tools on good-faith contributors and to bring back a collaborative dimension to how we do quality control on Wikipedia. I invite you to read the whole blog post if you want to know more about the motivations and expected outcome of this project.

I am thrilled this project is coming to fruition and I’d like to congratulate Aaron Halfaker and all the project contributors on hitting this big milestone: revision scoring started as Aaron’s side project well over a year ago and it has been co-designed (as in – literally – conceived, implemented, tested, improved and finally adopted) by a distributed team of volunteer developers, editors, and researchers. We worked with volunteers in 14 different Wikipedia language editions and as of today revision scores are integrated in the workflow of several quality control interfaces, WikiProjects and 3rd party tools. The project would not have seen the light without the technical support provided by the TechOps team (Yuvi in particular) and seminal funding provided by the WMF IEG program and Wikimedia Germany.

So, here you go: the next time someone tells you that LLAMAS GROW ON TREES you can confidently tell them they should stop damaging Wikipedia.

Dario