Re: [Wiki-research-l] identity disclosure hurt the reliability of review systems, but not necessarily efforts provision

2015-08-12 Thread Jonathan Morgan
Replicated it how?

Jonathan

On Wed, Aug 12, 2015 at 3:06 AM, James Salsman jsals...@gmail.com wrote:

 Has anyone replicated the experiment described in
 http://aisel.aisnet.org/amcis2015/e-Biz/GeneralPresentations/11/
 yet?


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Wikimedia Foundation
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Re: [Wiki-research-l] Studies of text quality

2015-08-12 Thread Aaron Halfaker
Hi David,

Welcome to wiki-research-l!

What are you trying to learn from this study?

Also, what is this Quality Assisted Editor for Wikipedia you speak of?   Is
it something we can try out?

-Aaron

On Wed, Aug 12, 2015 at 2:01 PM, David Strohmaier david.strohma...@gmx.at
wrote:

 To whome it may concern,

 My name is David Strohmaier and I'm doing my Master Thesis. We implemented
 a Quality Assisted Editor for Wikipedia, that should help to detect quality
 flaws quite quickly.
 Right now we are in the middle of evaluating the tool.

 If you would spend us 15 - 25 minutes of your time you would really help
 us with the evaluation.
 All you have to do is evaluate the quality of two wikipedia articles.







 * How to do it? 1. Please read the Wikipedia:Featured article criteria
 before you start. Each question in the surveys is tagged with a hint on
 which criteria it is targeting. Wikipedia:Featured article criteria:
 https://en.wikipedia.org/wiki/Wikipedia:Featured_article_criteriahttps://en.wikipedia.org/wiki/Wikipedia:Featured_article_criteria
 https://en.wikipedia.org/wiki/Wikipedia:Featured_article_criteria 2. Open
 the first Wikipedia article (Doctor Phosphorus) and the connected survey.
 It is important that you open the article of Doctor Phosphorus with the
 link in the Mail, because a special article revision is chosen! Doctor
 Phosphorus:
 https://en.wikipedia.org/w/index.php?title=Doctor_Phosphorusoldid=445748339https://en.wikipedia.org/w/index.php?title=Doctor_Phosphorusoldid=445748339
 https://en.wikipedia.org/w/index.php?title=Doctor_Phosphorusoldid=445748339
 http://goo.gl/forms/ESgoyfd8ADhttp://goo.gl/forms/ESgoyfd8AD
 http://goo.gl/forms/ESgoyfd8AD 3. Please fill out the survey. The
 questions concerning the whole article should be answered based on the
 three sections you have read. 4. Open the second Wikipedia article (Moon)
 and the connected survey. It is important that you open the article of Moon
 with the link in the Mail, because a special article revision is chosen!
 Moon:
 https://en.wikipedia.org/w/index.php?title=Moonoldid=670521118https://en.wikipedia.org/w/index.php?title=Moonoldid=670521118
 https://en.wikipedia.org/w/index.php?title=Moonoldid=670521118
 http://goo.gl/forms/PnlbMtA1X3http://goo.gl/forms/PnlbMtA1X3
 http://goo.gl/forms/PnlbMtA1X3   5. Please fill out the survey. The
 questions concerning the whole article should be answered based on the
 three sections you have read. Thank you! I*f you have any questions, pls
 contact me: david.strohma...@gmx.at



 * Best regards, David Strohmaier *

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Re: [Wiki-research-l] identity disclosure hurt the reliability of review systems, but not necessarily efforts provision

2015-08-12 Thread Jack Park
Google the paper's title to see many related papers, including this one
http://onlinelibrary.wiley.com/doi/10./j.1083-6101.2011.01551.x/full
Not the same as that paper, but orbiting that space...

On Wed, Aug 12, 2015 at 3:37 PM, James Salsman jsals...@gmail.com wrote:

 Jonathan, I am so sorry
 http://aisel.aisnet.org/amcis2015/e-Biz/GeneralPresentations/11/
 is behind a paywall. It wasn't when I first found it, and that version is
 miles away from me at the moment. It describes a truly fascinating
 empirical simulation laboratory participation experiment, which shows that
 anonymous review is more accurate than review with identity disclosure,
 which is actually very easy to find literally centuries of replication, but
 it also found that the costs were more similar than conventional wisdom.

 I want everyone to see it because of what the specific
 experiment says about ways to detect bias at the lowest possible cost. I
 have a feeling that you will quickly think of ways to extend it to study
 projects' editing.

 Can someone who has access to that paper please share the method
 and results as fair use?


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Re: [Wiki-research-l] identity disclosure hurt the reliability of review systems, but not necessarily efforts provision

2015-08-12 Thread Jonathan Morgan
Thanks, James. That sounds really interesting. I hope to read it.

NOTE TO EVERYONE: if you do have access to this closed-access paper, please
do NOT attach a PDF of it to an email you send to this mailing list. Turns
out it's a real pain to remove these files from our public list archive (I
found that out the hard way recently... :/).

/me shakes fist at the publishing-industrial complex

J

On Wed, Aug 12, 2015 at 3:37 PM, James Salsman jsals...@gmail.com wrote:

 Jonathan, I am so sorry
 http://aisel.aisnet.org/amcis2015/e-Biz/GeneralPresentations/11/
 is behind a paywall. It wasn't when I first found it, and that version is
 miles away from me at the moment. It describes a truly fascinating
 empirical simulation laboratory participation experiment, which shows that
 anonymous review is more accurate than review with identity disclosure,
 which is actually very easy to find literally centuries of replication, but
 it also found that the costs were more similar than conventional wisdom.

 I want everyone to see it because of what the specific
 experiment says about ways to detect bias at the lowest possible cost. I
 have a feeling that you will quickly think of ways to extend it to study
 projects' editing.

 Can someone who has access to that paper please share the method
 and results as fair use?


 ___
 Wiki-research-l mailing list
 Wiki-research-l@lists.wikimedia.org
 https://lists.wikimedia.org/mailman/listinfo/wiki-research-l




-- 
Jonathan T. Morgan
Senior Design Researcher
Wikimedia Foundation
User:Jmorgan (WMF) https://meta.wikimedia.org/wiki/User:Jmorgan_(WMF)
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Re: [Wiki-research-l] identity disclosure hurt the reliability of review systems, but not necessarily efforts provision

2015-08-12 Thread James Salsman
Jonathan, I am so sorry
http://aisel.aisnet.org/amcis2015/e-Biz/GeneralPresentations/11/
is behind a paywall. It wasn't when I first found it, and that version is
miles away from me at the moment. It describes a truly fascinating
empirical simulation laboratory participation experiment, which shows that
anonymous review is more accurate than review with identity disclosure,
which is actually very easy to find literally centuries of replication, but
it also found that the costs were more similar than conventional wisdom.

I want everyone to see it because of what the specific
experiment says about ways to detect bias at the lowest possible cost. I
have a feeling that you will quickly think of ways to extend it to study
projects' editing.

Can someone who has access to that paper please share the method
and results as fair use?
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Re: [Wiki-research-l] identity disclosure hurt the reliability of review systems, but not necessarily efforts provision

2015-08-12 Thread Sam Katz
I assume they mean whether we use identity disclosure mechanisms. And the
answer is, to do so would compromise the anonymity on which many of our
submitter's depend.

That is a better question for wikileaks, though perhaps coming at it in not
quite the angle you were expecting, or yelp, or google.

On Wed, Aug 12, 2015 at 10:50 AM, Jonathan Morgan jmor...@wikimedia.org
wrote:

 Replicated it how?

 Jonathan

 On Wed, Aug 12, 2015 at 3:06 AM, James Salsman jsals...@gmail.com wrote:

 Has anyone replicated the experiment described in
 http://aisel.aisnet.org/amcis2015/e-Biz/GeneralPresentations/11/
 yet?


 ___
 Wiki-research-l mailing list
 Wiki-research-l@lists.wikimedia.org
 https://lists.wikimedia.org/mailman/listinfo/wiki-research-l




 --
 Jonathan T. Morgan
 Senior Design Researcher
 Wikimedia Foundation
 User:Jmorgan (WMF) https://meta.wikimedia.org/wiki/User:Jmorgan_(WMF)


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 Wiki-research-l@lists.wikimedia.org
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[Wiki-research-l] identity disclosure hurt the reliability of review systems, but not necessarily efforts provision

2015-08-12 Thread James Salsman
Has anyone replicated the experiment described in
http://aisel.aisnet.org/amcis2015/e-Biz/GeneralPresentations/11/
yet?
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[Wiki-research-l] Studies of text quality

2015-08-12 Thread David Strohmaier

To whome it may concern,

My name is David Strohmaier and I'm doing my Master Thesis. We 
implemented a Quality Assisted Editor for Wikipedia, that should help to 
detect quality flaws quite quickly.

Right now we are in the middle of evaluating the tool.

If you would spend us 15 - 25 minutes of your time you would really 
help  us with the evaluation.

All you have to do is evaluate the quality of two wikipedia articles.*

How to do it?

1. Please read the Wikipedia:Featured article criteria before you start. 
Each question in the surveys is tagged with a hint on which criteria it 
is targeting.


Wikipedia:Featured article criteria:

https://en.wikipedia.org/wiki/Wikipedia:Featured_article_criteria


2. Open the first Wikipedia article (Doctor Phosphorus) and the 
connected survey. It is important that you open the article of Doctor 
Phosphorus with the link in the Mail, because a special article revision 
is chosen!


Doctor Phosphorus:

https://en.wikipedia.org/w/index.php?title=Doctor_Phosphorusoldid=445748339

http://goo.gl/forms/ESgoyfd8AD


3. Please fill out the survey. The questions concerning the whole 
article should be answered based on the three sections you have read.



4. Open the second Wikipedia article (Moon) and the connected survey. It 
is important that you open the article of Moon with the link in the 
Mail, because a special article revision is chosen!


Moon:

https://en.wikipedia.org/w/index.php?title=Moonoldid=670521118

http://goo.gl/forms/PnlbMtA1X3


5. Please fill out the survey. The questions concerning the whole 
article should be answered based on the three sections you have read.



Thank you!


I*f you have any questions, pls contact me: david.strohma...@gmx.at

*

Best regards, David Strohmaier



*
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