After a break in September, we’re resuming our monthly Research and Data showcase. The next showcase will be live-streamed tomorrow Wednesday October 15 at 11.30 PT. As usual you can join the conversation via IRC on freenode.net by joining the #wikimedia-research channel.
We look forward to seeing you there,
Dario
This month:
Emotions under Discussion: Gender, Status and Communication in Wikipedia By David Laniado: I will present a large-scale analysis of emotional expression and communication style of editors in Wikipedia discussions. The talk will focus especially on how emotion and dialogue differ depending on the status, gender, and the communication network of the about 12000 editors who have written at least 100 comments on the English Wikipedia's article talk pages. The analysis is based on three different predefined lexicon-based methods for quantifying emotions: ANEW, LIWC and SentiStrength. The results unveil significant differences in the emotional expression and communication style of editors according to their status and gender, and can help to address issues such as gender gap and editor stagnation.
Wikipedia as a socio-technical system By Aaron Halfaker: Wikipedia is a socio-technical system. In this presentation, I'll explain how the integration of human collective behavior ("social") and information technology ("technical") has lead to a phenomena that, while being massively productive, is poorly understood due to lack of precedence. Based on my work in this area, I'll describe five critical functions that healthy, Wikipedia-like socio-technical systems must serve in order to continue to function: allocation, regulation, quality control, community management and reflection. Next I'll argue the Wikimedia Foundation's analytics strategy currently focuses on outcomes related to a relatively narrow aspect of system health and all but completely ignores productivity. Finally, I'll conclude with an overview of three classes of new projects that should provide critical opportunities to both practically and academically understand the maintenance of Wikipedia's socio-technical fitness.
This is the streaming link you can join to watch the showcase: http://youtu.be/-We4GZbH3Iw
On Tue, Oct 14, 2014 at 10:26 PM, Dario Taraborelli < dtaraborelli@wikimedia.org> wrote:
After a break in September, we’re resuming our monthly Research and Data showcase https://www.mediawiki.org/wiki/Analytics/Research_and_Data/Showcase. The next showcase will be live-streamed http://www.youtube.com/watch?v=eUyXqKa0hng tomorrow *Wednesday October 15 at 11.30 PT*. As usual you can join the conversation via IRC on freenode.net by joining the #wikimedia-research channel.
We look forward to seeing you there,
Dario
This month:
*Emotions under Discussion: Gender, Status and Communication in Wikipedia**By David Laniado https://www.mediawiki.org/wiki/User:Sdivad*: I will present a large-scale analysis of emotional expression and communication style of editors in Wikipedia discussions. The talk will focus especially on how emotion and dialogue differ depending on the status, gender, and the communication network of the about 12000 editors who have written at least 100 comments on the English Wikipedia's article talk pages. The analysis is based on three different predefined lexicon-based methods for quantifying emotions: ANEW, LIWC and SentiStrength. The results unveil significant differences in the emotional expression and communication style of editors according to their status and gender, and can help to address issues such as gender gap and editor stagnation. *Wikipedia as a socio-technical system**By Aaron Halfaker https://www.mediawiki.org/wiki/User:Halfak_(WMF)*: Wikipedia is a *socio-technical* system. In this presentation, I'll explain how the integration of human collective behavior ("social") and information technology ("technical") has lead to a phenomena that, while being massively productive, is poorly understood due to lack of precedence. Based on my work in this area, I'll describe five critical functions that healthy, Wikipedia-like socio-technical systems must serve in order to continue to function: allocation, regulation, quality control, community management and reflection. Next I'll argue the Wikimedia Foundation's analytics strategy currently focuses on outcomes related to a relatively narrow aspect of system health and all but completely ignores productivity. Finally, I'll conclude with an overview of three classes of new projects that should provide critical opportunities to both practically and academically understand the maintenance of Wikipedia's socio-technical fitness.
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Could it be the youtube link doesn't lead to the recorded version?
A.
On Tue, Oct 14, 2014 at 10:26 PM, Dario Taraborelli < dtaraborelli@wikimedia.org> wrote:
After a break in September, we’re resuming our monthly Research and Data showcase https://www.mediawiki.org/wiki/Analytics/Research_and_Data/Showcase. The next showcase will be live-streamed http://www.youtube.com/watch?v=eUyXqKa0hng tomorrow *Wednesday October 15 at 11.30 PT*. As usual you can join the conversation via IRC on freenode.net by joining the #wikimedia-research channel.
We look forward to seeing you there,
Dario
This month:
*Emotions under Discussion: Gender, Status and Communication in Wikipedia**By David Laniado https://www.mediawiki.org/wiki/User:Sdivad*: I will present a large-scale analysis of emotional expression and communication style of editors in Wikipedia discussions. The talk will focus especially on how emotion and dialogue differ depending on the status, gender, and the communication network of the about 12000 editors who have written at least 100 comments on the English Wikipedia's article talk pages. The analysis is based on three different predefined lexicon-based methods for quantifying emotions: ANEW, LIWC and SentiStrength. The results unveil significant differences in the emotional expression and communication style of editors according to their status and gender, and can help to address issues such as gender gap and editor stagnation. *Wikipedia as a socio-technical system**By Aaron Halfaker https://www.mediawiki.org/wiki/User:Halfak_(WMF)*: Wikipedia is a *socio-technical* system. In this presentation, I'll explain how the integration of human collective behavior ("social") and information technology ("technical") has lead to a phenomena that, while being massively productive, is poorly understood due to lack of precedence. Based on my work in this area, I'll describe five critical functions that healthy, Wikipedia-like socio-technical systems must serve in order to continue to function: allocation, regulation, quality control, community management and reflection. Next I'll argue the Wikimedia Foundation's analytics strategy currently focuses on outcomes related to a relatively narrow aspect of system health and all but completely ignores productivity. Finally, I'll conclude with an overview of three classes of new projects that should provide critical opportunities to both practically and academically understand the maintenance of Wikipedia's socio-technical fitness.
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Works for me.
On Wed, Oct 15, 2014 at 8:00 PM, Asaf Bartov abartov@wikimedia.org wrote:
Could it be the youtube link doesn't lead to the recorded version?
A.
On Tue, Oct 14, 2014 at 10:26 PM, Dario Taraborelli < dtaraborelli@wikimedia.org> wrote:
After a break in September, we’re resuming our monthly Research and Data showcase https://www.mediawiki.org/wiki/Analytics/Research_and_Data/Showcase. The next showcase will be live-streamed http://www.youtube.com/watch?v=eUyXqKa0hng tomorrow *Wednesday October 15 at 11.30 PT*. As usual you can join the conversation via IRC on freenode.net by joining the #wikimedia-research channel.
We look forward to seeing you there,
Dario
This month:
*Emotions under Discussion: Gender, Status and Communication in Wikipedia**By David Laniado https://www.mediawiki.org/wiki/User:Sdivad*: I will present a large-scale analysis of emotional expression and communication style of editors in Wikipedia discussions. The talk will focus especially on how emotion and dialogue differ depending on the status, gender, and the communication network of the about 12000 editors who have written at least 100 comments on the English Wikipedia's article talk pages. The analysis is based on three different predefined lexicon-based methods for quantifying emotions: ANEW, LIWC and SentiStrength. The results unveil significant differences in the emotional expression and communication style of editors according to their status and gender, and can help to address issues such as gender gap and editor stagnation. *Wikipedia as a socio-technical system**By Aaron Halfaker https://www.mediawiki.org/wiki/User:Halfak_(WMF)*: Wikipedia is a *socio-technical* system. In this presentation, I'll explain how the integration of human collective behavior ("social") and information technology ("technical") has lead to a phenomena that, while being massively productive, is poorly understood due to lack of precedence. Based on my work in this area, I'll describe five critical functions that healthy, Wikipedia-like socio-technical systems must serve in order to continue to function: allocation, regulation, quality control, community management and reflection. Next I'll argue the Wikimedia Foundation's analytics strategy currently focuses on outcomes related to a relatively narrow aspect of system health and all but completely ignores productivity. Finally, I'll conclude with an overview of three classes of new projects that should provide critical opportunities to both practically and academically understand the maintenance of Wikipedia's socio-technical fitness.
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
-- Asaf Bartov Wikimedia Foundation http://www.wikimediafoundation.org
Imagine a world in which every single human being can freely share in the sum of all knowledge. Help us make it a reality! https://donate.wikimedia.org
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
me too - watched it
Aaron - I look forward to more discoveries about our weird paramecium
On Wed, Oct 15, 2014 at 9:02 PM, Aaron Halfaker ahalfaker@wikimedia.org wrote:
Works for me.
On Wed, Oct 15, 2014 at 8:00 PM, Asaf Bartov abartov@wikimedia.org wrote:
Could it be the youtube link doesn't lead to the recorded version?
A.
On Tue, Oct 14, 2014 at 10:26 PM, Dario Taraborelli < dtaraborelli@wikimedia.org> wrote:
After a break in September, we’re resuming our monthly Research and Data showcase https://www.mediawiki.org/wiki/Analytics/Research_and_Data/Showcase. The next showcase will be live-streamed http://www.youtube.com/watch?v=eUyXqKa0hng tomorrow *Wednesday October 15 at 11.30 PT*. As usual you can join the conversation via IRC on freenode.net by joining the #wikimedia-research channel.
We look forward to seeing you there,
Dario
This month:
*Emotions under Discussion: Gender, Status and Communication in Wikipedia**By David Laniado https://www.mediawiki.org/wiki/User:Sdivad*: I will present a large-scale analysis of emotional expression and communication style of editors in Wikipedia discussions. The talk will focus especially on how emotion and dialogue differ depending on the status, gender, and the communication network of the about 12000 editors who have written at least 100 comments on the English Wikipedia's article talk pages. The analysis is based on three different predefined lexicon-based methods for quantifying emotions: ANEW, LIWC and SentiStrength. The results unveil significant differences in the emotional expression and communication style of editors according to their status and gender, and can help to address issues such as gender gap and editor stagnation. *Wikipedia as a socio-technical system**By Aaron Halfaker https://www.mediawiki.org/wiki/User:Halfak_(WMF)*: Wikipedia is a *socio-technical* system. In this presentation, I'll explain how the integration of human collective behavior ("social") and information technology ("technical") has lead to a phenomena that, while being massively productive, is poorly understood due to lack of precedence. Based on my work in this area, I'll describe five critical functions that healthy, Wikipedia-like socio-technical systems must serve in order to continue to function: allocation, regulation, quality control, community management and reflection. Next I'll argue the Wikimedia Foundation's analytics strategy currently focuses on outcomes related to a relatively narrow aspect of system health and all but completely ignores productivity. Finally, I'll conclude with an overview of three classes of new projects that should provide critical opportunities to both practically and academically understand the maintenance of Wikipedia's socio-technical fitness.
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
-- Asaf Bartov Wikimedia Foundation http://www.wikimediafoundation.org
Imagine a world in which every single human being can freely share in the sum of all knowledge. Help us make it a reality! https://donate.wikimedia.org
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
:)
/me goes to upload his wik-amecium to commons
On Wed, Oct 15, 2014 at 8:39 PM, Dan Andreescu dandreescu@wikimedia.org wrote:
me too - watched it
Aaron - I look forward to more discoveries about our weird paramecium
On Wed, Oct 15, 2014 at 9:02 PM, Aaron Halfaker ahalfaker@wikimedia.org wrote:
Works for me.
On Wed, Oct 15, 2014 at 8:00 PM, Asaf Bartov abartov@wikimedia.org wrote:
Could it be the youtube link doesn't lead to the recorded version?
A.
On Tue, Oct 14, 2014 at 10:26 PM, Dario Taraborelli < dtaraborelli@wikimedia.org> wrote:
After a break in September, we’re resuming our monthly Research and Data showcase https://www.mediawiki.org/wiki/Analytics/Research_and_Data/Showcase. The next showcase will be live-streamed http://www.youtube.com/watch?v=eUyXqKa0hng tomorrow *Wednesday October 15 at 11.30 PT*. As usual you can join the conversation via IRC on freenode.net by joining the #wikimedia-research channel.
We look forward to seeing you there,
Dario
This month:
*Emotions under Discussion: Gender, Status and Communication in Wikipedia**By David Laniado https://www.mediawiki.org/wiki/User:Sdivad*: I will present a large-scale analysis of emotional expression and communication style of editors in Wikipedia discussions. The talk will focus especially on how emotion and dialogue differ depending on the status, gender, and the communication network of the about 12000 editors who have written at least 100 comments on the English Wikipedia's article talk pages. The analysis is based on three different predefined lexicon-based methods for quantifying emotions: ANEW, LIWC and SentiStrength. The results unveil significant differences in the emotional expression and communication style of editors according to their status and gender, and can help to address issues such as gender gap and editor stagnation. *Wikipedia as a socio-technical system**By Aaron Halfaker https://www.mediawiki.org/wiki/User:Halfak_(WMF)*: Wikipedia is a *socio-technical* system. In this presentation, I'll explain how the integration of human collective behavior ("social") and information technology ("technical") has lead to a phenomena that, while being massively productive, is poorly understood due to lack of precedence. Based on my work in this area, I'll describe five critical functions that healthy, Wikipedia-like socio-technical systems must serve in order to continue to function: allocation, regulation, quality control, community management and reflection. Next I'll argue the Wikimedia Foundation's analytics strategy currently focuses on outcomes related to a relatively narrow aspect of system health and all but completely ignores productivity. Finally, I'll conclude with an overview of three classes of new projects that should provide critical opportunities to both practically and academically understand the maintenance of Wikipedia's socio-technical fitness.
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
-- Asaf Bartov Wikimedia Foundation http://www.wikimediafoundation.org
Imagine a world in which every single human being can freely share in the sum of all knowledge. Help us make it a reality! https://donate.wikimedia.org
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
https://commons.wikimedia.org/wiki/File:Paramecium.artistic_color_vector.svg
On Thu, Oct 16, 2014 at 8:40 AM, Aaron Halfaker ahalfaker@wikimedia.org wrote:
:)
/me goes to upload his wik-amecium to commons
On Wed, Oct 15, 2014 at 8:39 PM, Dan Andreescu dandreescu@wikimedia.org wrote:
me too - watched it
Aaron - I look forward to more discoveries about our weird paramecium
On Wed, Oct 15, 2014 at 9:02 PM, Aaron Halfaker ahalfaker@wikimedia.org wrote:
Works for me.
On Wed, Oct 15, 2014 at 8:00 PM, Asaf Bartov abartov@wikimedia.org wrote:
Could it be the youtube link doesn't lead to the recorded version?
A.
On Tue, Oct 14, 2014 at 10:26 PM, Dario Taraborelli < dtaraborelli@wikimedia.org> wrote:
After a break in September, we’re resuming our monthly Research and Data showcase https://www.mediawiki.org/wiki/Analytics/Research_and_Data/Showcase. The next showcase will be live-streamed http://www.youtube.com/watch?v=eUyXqKa0hng tomorrow *Wednesday October 15 at 11.30 PT*. As usual you can join the conversation via IRC on freenode.net by joining the #wikimedia-research channel.
We look forward to seeing you there,
Dario
This month:
*Emotions under Discussion: Gender, Status and Communication in Wikipedia**By David Laniado https://www.mediawiki.org/wiki/User:Sdivad*: I will present a large-scale analysis of emotional expression and communication style of editors in Wikipedia discussions. The talk will focus especially on how emotion and dialogue differ depending on the status, gender, and the communication network of the about 12000 editors who have written at least 100 comments on the English Wikipedia's article talk pages. The analysis is based on three different predefined lexicon-based methods for quantifying emotions: ANEW, LIWC and SentiStrength. The results unveil significant differences in the emotional expression and communication style of editors according to their status and gender, and can help to address issues such as gender gap and editor stagnation. *Wikipedia as a socio-technical system**By Aaron Halfaker https://www.mediawiki.org/wiki/User:Halfak_(WMF)*: Wikipedia is a *socio-technical* system. In this presentation, I'll explain how the integration of human collective behavior ("social") and information technology ("technical") has lead to a phenomena that, while being massively productive, is poorly understood due to lack of precedence. Based on my work in this area, I'll describe five critical functions that healthy, Wikipedia-like socio-technical systems must serve in order to continue to function: allocation, regulation, quality control, community management and reflection. Next I'll argue the Wikimedia Foundation's analytics strategy currently focuses on outcomes related to a relatively narrow aspect of system health and all but completely ignores productivity. Finally, I'll conclude with an overview of three classes of new projects that should provide critical opportunities to both practically and academically understand the maintenance of Wikipedia's socio-technical fitness.
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
-- Asaf Bartov Wikimedia Foundation http://www.wikimediafoundation.org
Imagine a world in which every single human being can freely share in the sum of all knowledge. Help us make it a reality! https://donate.wikimedia.org
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
I watched it too and I like your theory about the editor decline being caused by a lack of innovation after 2007 rather than the usual excuses of policy and anti-vandal tool creation
On Thu, Oct 16, 2014 at 3:45 PM, Aaron Halfaker ahalfaker@wikimedia.org wrote:
https://commons.wikimedia.org/wiki/File:Paramecium.artistic_color_vector.svg
On Thu, Oct 16, 2014 at 8:40 AM, Aaron Halfaker ahalfaker@wikimedia.org wrote:
:)
/me goes to upload his wik-amecium to commons
On Wed, Oct 15, 2014 at 8:39 PM, Dan Andreescu dandreescu@wikimedia.org wrote:
me too - watched it
Aaron - I look forward to more discoveries about our weird paramecium
On Wed, Oct 15, 2014 at 9:02 PM, Aaron Halfaker <ahalfaker@wikimedia.org
wrote:
Works for me.
On Wed, Oct 15, 2014 at 8:00 PM, Asaf Bartov abartov@wikimedia.org wrote:
Could it be the youtube link doesn't lead to the recorded version?
A.
On Tue, Oct 14, 2014 at 10:26 PM, Dario Taraborelli < dtaraborelli@wikimedia.org> wrote:
After a break in September, we’re resuming our monthly Research and Data showcase https://www.mediawiki.org/wiki/Analytics/Research_and_Data/Showcase. The next showcase will be live-streamed http://www.youtube.com/watch?v=eUyXqKa0hng tomorrow *Wednesday October 15 at 11.30 PT*. As usual you can join the conversation via IRC on freenode.net by joining the #wikimedia-research channel.
We look forward to seeing you there,
Dario
This month:
*Emotions under Discussion: Gender, Status and Communication in Wikipedia**By David Laniado https://www.mediawiki.org/wiki/User:Sdivad*: I will present a large-scale analysis of emotional expression and communication style of editors in Wikipedia discussions. The talk will focus especially on how emotion and dialogue differ depending on the status, gender, and the communication network of the about 12000 editors who have written at least 100 comments on the English Wikipedia's article talk pages. The analysis is based on three different predefined lexicon-based methods for quantifying emotions: ANEW, LIWC and SentiStrength. The results unveil significant differences in the emotional expression and communication style of editors according to their status and gender, and can help to address issues such as gender gap and editor stagnation. *Wikipedia as a socio-technical system**By Aaron Halfaker https://www.mediawiki.org/wiki/User:Halfak_(WMF)*: Wikipedia is a *socio-technical* system. In this presentation, I'll explain how the integration of human collective behavior ("social") and information technology ("technical") has lead to a phenomena that, while being massively productive, is poorly understood due to lack of precedence. Based on my work in this area, I'll describe five critical functions that healthy, Wikipedia-like socio-technical systems must serve in order to continue to function: allocation, regulation, quality control, community management and reflection. Next I'll argue the Wikimedia Foundation's analytics strategy currently focuses on outcomes related to a relatively narrow aspect of system health and all but completely ignores productivity. Finally, I'll conclude with an overview of three classes of new projects that should provide critical opportunities to both practically and academically understand the maintenance of Wikipedia's socio-technical fitness.
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
-- Asaf Bartov Wikimedia Foundation http://www.wikimediafoundation.org
Imagine a world in which every single human being can freely share in the sum of all knowledge. Help us make it a reality! https://donate.wikimedia.org
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Agree completely!
On Thu, Oct 16, 2014 at 5:55 PM, Jane Darnell jane023@gmail.com wrote:
I watched it too and I like your theory about the editor decline being caused by a lack of innovation after 2007 rather than the usual excuses of policy and anti-vandal tool creation
On Thu, Oct 16, 2014 at 3:45 PM, Aaron Halfaker ahalfaker@wikimedia.org wrote:
https://commons.wikimedia.org/wiki/File:Paramecium.artistic_color_vector.svg
On Thu, Oct 16, 2014 at 8:40 AM, Aaron Halfaker ahalfaker@wikimedia.org wrote:
:)
/me goes to upload his wik-amecium to commons
On Wed, Oct 15, 2014 at 8:39 PM, Dan Andreescu <dandreescu@wikimedia.org
wrote:
me too - watched it
Aaron - I look forward to more discoveries about our weird paramecium
On Wed, Oct 15, 2014 at 9:02 PM, Aaron Halfaker < ahalfaker@wikimedia.org> wrote:
Works for me.
On Wed, Oct 15, 2014 at 8:00 PM, Asaf Bartov abartov@wikimedia.org wrote:
Could it be the youtube link doesn't lead to the recorded version?
A.
On Tue, Oct 14, 2014 at 10:26 PM, Dario Taraborelli < dtaraborelli@wikimedia.org> wrote:
> After a break in September, we’re resuming our monthly Research and > Data showcase > https://www.mediawiki.org/wiki/Analytics/Research_and_Data/Showcase. > The next showcase will be live-streamed > http://www.youtube.com/watch?v=eUyXqKa0hng tomorrow *Wednesday > October 15 at 11.30 PT*. As usual you can join the conversation via > IRC on freenode.net by joining the #wikimedia-research channel. > > We look forward to seeing you there, > > Dario > > > This month: > > *Emotions under Discussion: Gender, Status and Communication in > Wikipedia**By David Laniado > https://www.mediawiki.org/wiki/User:Sdivad*: I will present a > large-scale analysis of emotional expression and communication style of > editors in Wikipedia discussions. The talk will focus especially on how > emotion and dialogue differ depending on the status, gender, and the > communication network of the about 12000 editors who have written at least > 100 comments on the English Wikipedia's article talk pages. The analysis is > based on three different predefined lexicon-based methods for quantifying > emotions: ANEW, LIWC and SentiStrength. The results unveil significant > differences in the emotional expression and communication style of editors > according to their status and gender, and can help to address issues such > as gender gap and editor stagnation. > *Wikipedia as a socio-technical system**By Aaron Halfaker > https://www.mediawiki.org/wiki/User:Halfak_(WMF)*: Wikipedia is a > *socio-technical* system. In this presentation, I'll explain how > the integration of human collective behavior ("social") and information > technology ("technical") has lead to a phenomena that, while being > massively productive, is poorly understood due to lack of precedence. Based > on my work in this area, I'll describe five critical functions that > healthy, Wikipedia-like socio-technical systems must serve in order to > continue to function: allocation, regulation, quality control, community > management and reflection. Next I'll argue the Wikimedia Foundation's > analytics strategy currently focuses on outcomes related to a relatively > narrow aspect of system health and all but completely ignores productivity. > Finally, I'll conclude with an overview of three classes of new projects > that should provide critical opportunities to both practically and > academically understand the maintenance of Wikipedia's socio-technical > fitness. > > > _______________________________________________ > Analytics mailing list > Analytics@lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/analytics > >
-- Asaf Bartov Wikimedia Foundation http://www.wikimediafoundation.org
Imagine a world in which every single human being can freely share in the sum of all knowledge. Help us make it a reality! https://donate.wikimedia.org
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Indeed. We actually concluded this in the Rise and Decline study -- the same study that is often cited for blaming counter-vandalism tools & policy.
From http://www-users.cs.umn.edu/~halfak/publications/The_Rise_and_Decline/halfak... *with emphasis*
First, the calcification of policy is disproportionately felt by newer editors, who see their policy edits rejected at a higher rate. This suggests that under Wikipedia’s current policy regime, rules are less open to revision by affected editors than they were during the growth period, decreasing *the dynamic flexibility that was key to Wikipedia’s adaptive success*, and increasing the power imbalance between newer and older editors. Second, although newer editors are contributing more to essays – where their contributions are less likely to be reverted – essays are not official, enforceable rules and are not widely cited. While an increase in essay writing is an encouraging sign of newer editors’ continued interest in participating in community governance, it is not an effective mechanism for social change. As the BRD analysis above suggests, the informal norms documented in essays are trumped by formal norms embedded in bots and human computation tools.
I'd argue that the continued persistence of the problems surrounding the impersonal & negative reception of newcomers is the result of a lack of adaptability. Policy calcification (if that's an appropriate term for the observed trends) is one bit of evidence of decreased capacity for adaptation. Are there other bits of clear evidence for or against this hypothesis that I'm missing?
If I'm right, then it is important that we experiment with strategies for reinforcing/jump-starting Wikipedia's adaptive systems. One way to do that is to make it easier for editors to reflect on current trends. I'd like to think that integrating research practice into wiki culture (what I've been trying to do with all my work) is one way to do that. But it would be better if people don't need wait on me and other WMF researchers to finish a study. We'd all fare better if access to research materials was democratized. That's the reason I am really excited about projects like quarry.wmflabs.org (run SQL against Wikipedia's DBs from your browser).
-Aaron
On Thu, Oct 16, 2014 at 11:12 AM, Alex Druk alex.druk@gmail.com wrote:
Agree completely!
On Thu, Oct 16, 2014 at 5:55 PM, Jane Darnell jane023@gmail.com wrote:
I watched it too and I like your theory about the editor decline being caused by a lack of innovation after 2007 rather than the usual excuses of policy and anti-vandal tool creation
On Thu, Oct 16, 2014 at 3:45 PM, Aaron Halfaker ahalfaker@wikimedia.org wrote:
https://commons.wikimedia.org/wiki/File:Paramecium.artistic_color_vector.svg
On Thu, Oct 16, 2014 at 8:40 AM, Aaron Halfaker <ahalfaker@wikimedia.org
wrote:
:)
/me goes to upload his wik-amecium to commons
On Wed, Oct 15, 2014 at 8:39 PM, Dan Andreescu < dandreescu@wikimedia.org> wrote:
me too - watched it
Aaron - I look forward to more discoveries about our weird paramecium
On Wed, Oct 15, 2014 at 9:02 PM, Aaron Halfaker < ahalfaker@wikimedia.org> wrote:
Works for me.
On Wed, Oct 15, 2014 at 8:00 PM, Asaf Bartov abartov@wikimedia.org wrote:
> Could it be the youtube link doesn't lead to the recorded version? > > A. > > On Tue, Oct 14, 2014 at 10:26 PM, Dario Taraborelli < > dtaraborelli@wikimedia.org> wrote: > >> After a break in September, we’re resuming our monthly Research >> and Data showcase >> https://www.mediawiki.org/wiki/Analytics/Research_and_Data/Showcase. >> The next showcase will be live-streamed >> http://www.youtube.com/watch?v=eUyXqKa0hng tomorrow *Wednesday >> October 15 at 11.30 PT*. As usual you can join the conversation >> via IRC on freenode.net by joining the #wikimedia-research channel. >> >> We look forward to seeing you there, >> >> Dario >> >> >> This month: >> >> *Emotions under Discussion: Gender, Status and Communication in >> Wikipedia**By David Laniado >> https://www.mediawiki.org/wiki/User:Sdivad*: I will present a >> large-scale analysis of emotional expression and communication style of >> editors in Wikipedia discussions. The talk will focus especially on how >> emotion and dialogue differ depending on the status, gender, and the >> communication network of the about 12000 editors who have written at least >> 100 comments on the English Wikipedia's article talk pages. The analysis is >> based on three different predefined lexicon-based methods for quantifying >> emotions: ANEW, LIWC and SentiStrength. The results unveil significant >> differences in the emotional expression and communication style of editors >> according to their status and gender, and can help to address issues such >> as gender gap and editor stagnation. >> *Wikipedia as a socio-technical system**By Aaron Halfaker >> https://www.mediawiki.org/wiki/User:Halfak_(WMF)*: Wikipedia is >> a *socio-technical* system. In this presentation, I'll explain how >> the integration of human collective behavior ("social") and information >> technology ("technical") has lead to a phenomena that, while being >> massively productive, is poorly understood due to lack of precedence. Based >> on my work in this area, I'll describe five critical functions that >> healthy, Wikipedia-like socio-technical systems must serve in order to >> continue to function: allocation, regulation, quality control, community >> management and reflection. Next I'll argue the Wikimedia Foundation's >> analytics strategy currently focuses on outcomes related to a relatively >> narrow aspect of system health and all but completely ignores productivity. >> Finally, I'll conclude with an overview of three classes of new projects >> that should provide critical opportunities to both practically and >> academically understand the maintenance of Wikipedia's socio-technical >> fitness. >> >> >> _______________________________________________ >> Analytics mailing list >> Analytics@lists.wikimedia.org >> https://lists.wikimedia.org/mailman/listinfo/analytics >> >> > > > -- > Asaf Bartov > Wikimedia Foundation http://www.wikimediafoundation.org > > Imagine a world in which every single human being can freely share > in the sum of all knowledge. Help us make it a reality! > https://donate.wikimedia.org > > _______________________________________________ > Analytics mailing list > Analytics@lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/analytics > >
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-- Thank you.
Alex Druk alex.druk@gmail.com (775) 237-8550 Google voice
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
If I'm right, then it is important that we experiment with strategies for reinforcing/jump-starting Wikipedia's adaptive systems. One way to do that is to make it easier for editors to reflect on current trends. I'd like to think that integrating research practice into wiki culture (what I've been trying to do with all my work) is one way to do that. But it would be better if people don't need wait on me and other WMF researchers to finish a study. We'd all fare better if access to research materials was democratized. That's the reason I am really excited about projects like quarry.wmflabs.org (run SQL against Wikipedia's DBs from your browser).
And that, in turn, is exactly why I'm really excited about our efforts to simplify the schema that this data is presented in, so tools like quarry can be even more approachable by folks, even those unfamiliar with SQL.
I'm curious, what is the plan for transforming research outcomes into actionable proposals for on-wiki change?
Pine On Oct 16, 2014 10:54 AM, "Dan Andreescu" dandreescu@wikimedia.org wrote:
If I'm right, then it is important that we experiment with strategies for
reinforcing/jump-starting Wikipedia's adaptive systems. One way to do that is to make it easier for editors to reflect on current trends. I'd like to think that integrating research practice into wiki culture (what I've been trying to do with all my work) is one way to do that. But it would be better if people don't need wait on me and other WMF researchers to finish a study. We'd all fare better if access to research materials was democratized. That's the reason I am really excited about projects like quarry.wmflabs.org (run SQL against Wikipedia's DBs from your browser).
And that, in turn, is exactly why I'm really excited about our efforts to simplify the schema that this data is presented in, so tools like quarry can be even more approachable by folks, even those unfamiliar with SQL.
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
I think that's dependent on the research project. In the Human-Computer Interaction research community, we tend to highlight "Implications for Design" in the conclusion of a study(see page 9 of [1] for an example from my work). In the case of democratized research resources, I would like editors to make use of analytics tools. I assume that these editors would then be the means of on-wiki change. Does that answer your question? If not, I'm not sure I understand it.
1. http://www-users.cs.umn.edu/~halfak/publications/Snuggle/halfaker14snuggle-p...
On Thu, Oct 16, 2014 at 4:12 PM, Pine W wiki.pine@gmail.com wrote:
I'm curious, what is the plan for transforming research outcomes into actionable proposals for on-wiki change?
Pine On Oct 16, 2014 10:54 AM, "Dan Andreescu" dandreescu@wikimedia.org wrote:
If I'm right, then it is important that we experiment with strategies for
reinforcing/jump-starting Wikipedia's adaptive systems. One way to do that is to make it easier for editors to reflect on current trends. I'd like to think that integrating research practice into wiki culture (what I've been trying to do with all my work) is one way to do that. But it would be better if people don't need wait on me and other WMF researchers to finish a study. We'd all fare better if access to research materials was democratized. That's the reason I am really excited about projects like quarry.wmflabs.org (run SQL against Wikipedia's DBs from your browser).
And that, in turn, is exactly why I'm really excited about our efforts to simplify the schema that this data is presented in, so tools like quarry can be even more approachable by folks, even those unfamiliar with SQL.
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
That does answer the question, but the difficulty is that I see few editors looking to research for guidance about how to improve Wikipedia. The prevailing approach, in my observation, is wikilawyering, and most editors seem more interested in changing content or discussing policy than in looking at social media research. I think it would help to have more proactive engagement with the communitty about research outcomes and suggestions for implementation.
Pine On Oct 16, 2014 2:24 PM, "Aaron Halfaker" ahalfaker@wikimedia.org wrote:
I think that's dependent on the research project. In the Human-Computer Interaction research community, we tend to highlight "Implications for Design" in the conclusion of a study(see page 9 of [1] for an example from my work). In the case of democratized research resources, I would like editors to make use of analytics tools. I assume that these editors would then be the means of on-wiki change. Does that answer your question? If not, I'm not sure I understand it.
http://www-users.cs.umn.edu/~halfak/publications/Snuggle/halfaker14snuggle-p...
On Thu, Oct 16, 2014 at 4:12 PM, Pine W wiki.pine@gmail.com wrote:
I'm curious, what is the plan for transforming research outcomes into actionable proposals for on-wiki change?
Pine On Oct 16, 2014 10:54 AM, "Dan Andreescu" dandreescu@wikimedia.org wrote:
If I'm right, then it is important that we experiment with strategies
for reinforcing/jump-starting Wikipedia's adaptive systems. One way to do that is to make it easier for editors to reflect on current trends. I'd like to think that integrating research practice into wiki culture (what I've been trying to do with all my work) is one way to do that. But it would be better if people don't need wait on me and other WMF researchers to finish a study. We'd all fare better if access to research materials was democratized. That's the reason I am really excited about projects like quarry.wmflabs.org (run SQL against Wikipedia's DBs from your browser).
And that, in turn, is exactly why I'm really excited about our efforts to simplify the schema that this data is presented in, so tools like quarry can be even more approachable by folks, even those unfamiliar with SQL.
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
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Agreed. Improved engagement models are essential to taking advantage of academic work. See all the edits I've done on Meta for efforts in this direction. :) Personal: https://meta.wikimedia.org/wiki/Special:Contributions/EpochFail Staff: https://meta.wikimedia.org/wiki/Special:Contributions/Halfak_(WMF)
See also research hackathons we have organized:
- https://meta.wikimedia.org/wiki/Research:Labs2/Hackathons/August_6-7th,_2014 - https://meta.wikimedia.org/wiki/Research:Labs2/Hackathons/November_9th,_2013
-Aaron
On Thu, Oct 16, 2014 at 4:41 PM, Pine W wiki.pine@gmail.com wrote:
That does answer the question, but the difficulty is that I see few editors looking to research for guidance about how to improve Wikipedia. The prevailing approach, in my observation, is wikilawyering, and most editors seem more interested in changing content or discussing policy than in looking at social media research. I think it would help to have more proactive engagement with the communitty about research outcomes and suggestions for implementation.
Pine On Oct 16, 2014 2:24 PM, "Aaron Halfaker" ahalfaker@wikimedia.org wrote:
I think that's dependent on the research project. In the Human-Computer Interaction research community, we tend to highlight "Implications for Design" in the conclusion of a study(see page 9 of [1] for an example from my work). In the case of democratized research resources, I would like editors to make use of analytics tools. I assume that these editors would then be the means of on-wiki change. Does that answer your question? If not, I'm not sure I understand it.
http://www-users.cs.umn.edu/~halfak/publications/Snuggle/halfaker14snuggle-p...
On Thu, Oct 16, 2014 at 4:12 PM, Pine W wiki.pine@gmail.com wrote:
I'm curious, what is the plan for transforming research outcomes into actionable proposals for on-wiki change?
Pine On Oct 16, 2014 10:54 AM, "Dan Andreescu" dandreescu@wikimedia.org wrote:
If I'm right, then it is important that we experiment with strategies
for reinforcing/jump-starting Wikipedia's adaptive systems. One way to do that is to make it easier for editors to reflect on current trends. I'd like to think that integrating research practice into wiki culture (what I've been trying to do with all my work) is one way to do that. But it would be better if people don't need wait on me and other WMF researchers to finish a study. We'd all fare better if access to research materials was democratized. That's the reason I am really excited about projects like quarry.wmflabs.org (run SQL against Wikipedia's DBs from your browser).
And that, in turn, is exactly why I'm really excited about our efforts to simplify the schema that this data is presented in, so tools like quarry can be even more approachable by folks, even those unfamiliar with SQL.
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
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Aaron Halfaker, 16/10/2014 19:40:
I'd argue that the continued persistence of the problems surrounding the impersonal & negative reception of newcomers is the result of a lack of adaptability. Policy calcification (if that's an appropriate term for the observed trends) is one bit of evidence of decreased capacity for adaptation.
As a reminder (we already discussed this http://article.gmane.org/gmane.org.wikimedia.foundation/63580 ), it wasn't proved that policies are now harder to change; only that less new policy pages are being created. And only on en.wiki.
Are there other bits of clear evidence for or against this hypothesis that I'm missing?
An easy counterexample would be finding at least one wiki showing a different pattern in policymaking but equal patterns in everything else.
Nemo
If I'm right, then it is important that we experiment with strategies for reinforcing/jump-starting Wikipedia's adaptive systems. One way to do that is to make it easier for editors to reflect on current trends. I'd like to think that integrating research practice into wiki culture (what I've been trying to do with all my work) is one way to do that. But it would be better if people don't need wait on me and other WMF researchers to finish a study. We'd all fare better if access to research materials was democratized. That's the reason I am really excited about projects like quarry.wmflabs.org http://quarry.wmflabs.org (run SQL against Wikipedia's DBs from your browser).
-Aaron
Hey Nemo,
That's cool that you had that discussion. I didn't know about it. As you can imagine, I've talked a lot of people about the work myself. I'm stoked that we're having another discussion right now. :)
I'm going to go into scientist-defending-the-value-of-my-work mode for a couple of paragraphs.
Our model did suggest that it is getting more difficult for *all editors* to change policies over time regardless of experience level[1]. It also suggests that this effect is much stronger for new editiors. I agree that new policy != adaptation. That's why we modeled change over time for our hypothesis test. The norm growth graph I referenced is intended to serve as a descriptive visualization.
It's important to understand that neither of these sets of numbers alone do not tell the whole story here. Quantitative hypothesis test are narrow windows through which to view the world, yet such tests are used to support or refute complex arguments. Our argument about the nature of English Wikipedia's decline was built up from current theory and our own qualitative work. FWIW, more recent research has confirmed some of our basic assumptions(e.g. [2], [3]) and I've re-measured similar phenomena with new metrics several times in the last 3 years.
An easy counterexample would be finding at least one wiki showing a
different pattern in policymaking but equal patterns in everything else.
I'm not sure what you mean by "easy", but I look forward to reading your report. Seriously though, if you want to work on this, I've got some ideas and I'd be happy to collaborate.
1. Logistic regression. Page 17, Table 2. Read the two paragraphs before the table for discussion.
http://www-users.cs.umn.edu/~halfak/publications/The_Rise_and_Decline/halfak... 2. http://www.opensym.org/ws2012/p21wikisym2012.pdf
-Aaron
On Thu, Oct 16, 2014 at 6:22 PM, Federico Leva (Nemo) nemowiki@gmail.com wrote:
Aaron Halfaker, 16/10/2014 19:40:
I'd argue that the continued persistence of the problems surrounding the impersonal & negative reception of newcomers is the result of a lack of adaptability. Policy calcification (if that's an appropriate term for the observed trends) is one bit of evidence of decreased capacity for adaptation.
As a reminder (we already discussed this http://article.gmane.org/ gmane.org.wikimedia.foundation/63580 ), it wasn't proved that policies are now harder to change; only that less new policy pages are being created. And only on en.wiki.
Are there other bits of clear evidence for or against this
hypothesis that I'm missing?
An easy counterexample would be finding at least one wiki showing a different pattern in policymaking but equal patterns in everything else.
Nemo
If I'm right, then it is important that we experiment with strategies for reinforcing/jump-starting Wikipedia's adaptive systems. One way to do that is to make it easier for editors to reflect on current trends. I'd like to think that integrating research practice into wiki culture (what I've been trying to do with all my work) is one way to do that. But it would be better if people don't need wait on me and other WMF researchers to finish a study. We'd all fare better if access to research materials was democratized. That's the reason I am really excited about projects like quarry.wmflabs.org http://quarry.wmflabs.org (run SQL against Wikipedia's DBs from your browser).
-Aaron
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