(cross-posting from wikitech-l)
Today we published an announcement on the Wikimedia blog marking the official
launch of revision scoring as a service
<https://meta.wikimedia.org/wiki/Research:Revision_scoring_as_a_service> and I
wanted to say a few words about this project:
Blog post:
https://blog.wikimedia.org/2015/11/30/artificial-intelligence-x-ray-specs/
<https://blog.wikimedia.org/2015/11/30/artificial-intelligence-x-ray-specs/>
Docs on Meta: https://meta.wikimedia.org/wiki/ORES
<https://meta.wikimedia.org/wiki/ORES>
First off: what’s revision scoring
<https://meta.wikimedia.org/wiki/Research:Revision_scoring_as_a_service#Rationale>?
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
<https://blog.wikimedia.org/2015/11/30/artificial-intelligence-x-ray-specs/> 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 <https://wikimediafoundation.org/wiki/User:Ahalfaker> and all
the project contributors
<https://meta.wikimedia.org/wiki/Research:Revision_scoring_as_a_service#Team>
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
<https://meta.wikimedia.org/wiki/Research:Revision_scoring_as_a_service#Tools_that_use_ORES>
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
<https://en.wikipedia.org/w/index.php?diff=prev&oldid=642215410> you can
confidently tell them they should stop damaging
<http://ores.wmflabs.org/scores/enwiki/damaging/642215410/> Wikipedia.
Dario
Dario Taraborelli Head of Research, Wikimedia Foundation
wikimediafoundation.org <http://wikimediafoundation.org/> • nitens.org
<http://nitens.org/> • @readermeter <http://twitter.com/readermeter>
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