(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
This is really cool! Congrats to everyone who worked on this. On Mon, Nov 30, 2015 at 7:51 PM Dario Taraborelli < dtaraborelli@wikimedia.org> wrote:
(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%3E 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%3E
First off: what’s revision scoring < https://meta.wikimedia.org/wiki/Research:Revision_scoring_as_a_service#Ratio... 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/%3... 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%3E 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... 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/%3E Wikipedia.
Dario
Dario Taraborelli Head of Research, Wikimedia Foundation wikimediafoundation.org http://wikimediafoundation.org/ • nitens.org < http://nitens.org/%3E • @readermeter http://twitter.com/readermeter _______________________________________________ Wikimedia-l mailing list, guidelines at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines Wikimedia-l@lists.wikimedia.org https://meta.wikimedia.org/wiki/Mailing_lists/GuidelinesWikimedia-l@lists.wikimedia.org Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l, mailto:wikimedia-l-request@lists.wikimedia.org?subject=unsubscribe
It's mentioned in the MIT Review here: http://www.technologyreview.com/news/544036/artificial-intelligence-aims-to-...
On Tue, Dec 1, 2015 at 8:35 PM, Steven Walling steven.walling@gmail.com wrote:
This is really cool! Congrats to everyone who worked on this. On Mon, Nov 30, 2015 at 7:51 PM Dario Taraborelli < dtaraborelli@wikimedia.org> wrote:
(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%3E 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%3E
First off: what’s revision scoring <
https://meta.wikimedia.org/wiki/Research:Revision_scoring_as_a_service#Ratio...
? 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%3E 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...
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/%3E Wikipedia.
Dario
Dario Taraborelli Head of Research, Wikimedia Foundation wikimediafoundation.org http://wikimediafoundation.org/ • nitens.org < http://nitens.org/%3E • @readermeter http://twitter.com/readermeter _______________________________________________ Wikimedia-l mailing list, guidelines at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines Wikimedia-l@lists.wikimedia.org <
https://meta.wikimedia.org/wiki/Mailing_lists/GuidelinesWikimedia-l@lists.wi...
Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l, mailto:wikimedia-l-request@lists.wikimedia.org?subject=unsubscribe
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Wooooo hoooo.
On Tue, Dec 1, 2015 at 11:57 AM, Jane Darnell jane023@gmail.com wrote:
It's mentioned in the MIT Review here:
http://www.technologyreview.com/news/544036/artificial-intelligence-aims-to-...
On Tue, Dec 1, 2015 at 8:35 PM, Steven Walling steven.walling@gmail.com wrote:
This is really cool! Congrats to everyone who worked on this. On Mon, Nov 30, 2015 at 7:51 PM Dario Taraborelli < dtaraborelli@wikimedia.org> wrote:
(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%3E
First off: what’s revision scoring <
https://meta.wikimedia.org/wiki/Research:Revision_scoring_as_a_service#Ratio...
? 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%3E 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...
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/%3E Wikipedia.
Dario
Dario Taraborelli Head of Research, Wikimedia Foundation wikimediafoundation.org http://wikimediafoundation.org/ • nitens.org
<
http://nitens.org/%3E • @readermeter http://twitter.com/readermeter _______________________________________________ Wikimedia-l mailing list, guidelines at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines Wikimedia-l@lists.wikimedia.org <
https://meta.wikimedia.org/wiki/Mailing_lists/GuidelinesWikimedia-l@lists.wi...
Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l, mailto:wikimedia-l-request@lists.wikimedia.org?subject=unsubscribe
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Hold on, is this fact correct?
"One motivation for the project is a significant decline in the number of people considered active contributors to the flagship English-language Wikipedia: it has fallen by 40 percent over the past eight years, to about 30,000."
On Tue, Dec 1, 2015 at 12:23 PM, Anna Stillwell astillwell@wikimedia.org wrote:
Wooooo hoooo.
On Tue, Dec 1, 2015 at 11:57 AM, Jane Darnell jane023@gmail.com wrote:
It's mentioned in the MIT Review here:
http://www.technologyreview.com/news/544036/artificial-intelligence-aims-to-...
On Tue, Dec 1, 2015 at 8:35 PM, Steven Walling steven.walling@gmail.com wrote:
This is really cool! Congrats to everyone who worked on this. On Mon, Nov 30, 2015 at 7:51 PM Dario Taraborelli < dtaraborelli@wikimedia.org> wrote:
(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%3E
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%3E
First off: what’s revision scoring <
https://meta.wikimedia.org/wiki/Research:Revision_scoring_as_a_service#Ratio...
? 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%3E 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...
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/%3E Wikipedia.
Dario
Dario Taraborelli Head of Research, Wikimedia Foundation wikimediafoundation.org http://wikimediafoundation.org/ •
nitens.org <
http://nitens.org/%3E • @readermeter http://twitter.com/readermeter _______________________________________________ Wikimedia-l mailing list, guidelines at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines Wikimedia-l@lists.wikimedia.org <
https://meta.wikimedia.org/wiki/Mailing_lists/GuidelinesWikimedia-l@lists.wi...
Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l
,
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-- Anna Stillwell Major Gifts Officer Wikimedia Foundation 415.806.1536 *www.wikimediafoundation.org http://www.wikimediafoundation.org*
Roughly, yes. March 2007: 50,996 "active" editors. October 2015: 30,482 "active" editors.
Pine
On Tue, Dec 1, 2015 at 12:24 PM, Anna Stillwell astillwell@wikimedia.org wrote:
Hold on, is this fact correct?
"One motivation for the project is a significant decline in the number of people considered active contributors to the flagship English-language Wikipedia: it has fallen by 40 percent over the past eight years, to about 30,000."
On Tue, Dec 1, 2015 at 12:23 PM, Anna Stillwell astillwell@wikimedia.org wrote:
Wooooo hoooo.
On Tue, Dec 1, 2015 at 11:57 AM, Jane Darnell jane023@gmail.com wrote:
It's mentioned in the MIT Review here:
http://www.technologyreview.com/news/544036/artificial-intelligence-aims-to-...
On Tue, Dec 1, 2015 at 8:35 PM, Steven Walling <
steven.walling@gmail.com>
wrote:
This is really cool! Congrats to everyone who worked on this. On Mon, Nov 30, 2015 at 7:51 PM Dario Taraborelli < dtaraborelli@wikimedia.org> wrote:
(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%3E
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%3E
First off: what’s revision scoring <
https://meta.wikimedia.org/wiki/Research:Revision_scoring_as_a_service#Ratio...
? 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%3E 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...
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/%3E
Wikipedia.
Dario
Dario Taraborelli Head of Research, Wikimedia Foundation wikimediafoundation.org http://wikimediafoundation.org/ •
nitens.org <
http://nitens.org/%3E • @readermeter http://twitter.com/readermeter _______________________________________________ Wikimedia-l mailing list, guidelines at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines Wikimedia-l@lists.wikimedia.org <
https://meta.wikimedia.org/wiki/Mailing_lists/GuidelinesWikimedia-l@lists.wi...
Unsubscribe:
https://lists.wikimedia.org/mailman/listinfo/wikimedia-l
,
<mailto:wikimedia-l-request@lists.wikimedia.org
?subject=unsubscribe>
Wikimedia-l mailing list, guidelines at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines Wikimedia-l@lists.wikimedia.org Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l
,
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Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l, mailto:wikimedia-l-request@lists.wikimedia.org?subject=unsubscribe
-- Anna Stillwell Major Gifts Officer Wikimedia Foundation 415.806.1536 *www.wikimediafoundation.org http://www.wikimediafoundation.org*
-- Anna Stillwell Major Gifts Officer Wikimedia Foundation 415.806.1536 *www.wikimediafoundation.org http://www.wikimediafoundation.org* _______________________________________________ Wikimedia-l mailing list, guidelines at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines Wikimedia-l@lists.wikimedia.org Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l, mailto:wikimedia-l-request@lists.wikimedia.org?subject=unsubscribe
it has been on fawiki for couple of month now and it does amazing Job. Thanks for making this
On Tue, Dec 1, 2015 at 11:27 PM Jane Darnell jane023@gmail.com wrote:
It's mentioned in the MIT Review here:
http://www.technologyreview.com/news/544036/artificial-intelligence-aims-to-...
On Tue, Dec 1, 2015 at 8:35 PM, Steven Walling steven.walling@gmail.com wrote:
This is really cool! Congrats to everyone who worked on this. On Mon, Nov 30, 2015 at 7:51 PM Dario Taraborelli < dtaraborelli@wikimedia.org> wrote:
(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%3E
First off: what’s revision scoring <
https://meta.wikimedia.org/wiki/Research:Revision_scoring_as_a_service#Ratio...
? 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%3E 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...
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/%3E Wikipedia.
Dario
Dario Taraborelli Head of Research, Wikimedia Foundation wikimediafoundation.org http://wikimediafoundation.org/ • nitens.org
<
http://nitens.org/%3E • @readermeter http://twitter.com/readermeter _______________________________________________ Wikimedia-l mailing list, guidelines at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines Wikimedia-l@lists.wikimedia.org <
https://meta.wikimedia.org/wiki/Mailing_lists/GuidelinesWikimedia-l@lists.wi...
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