-------- Message original --------
Sujet:  Re: [Wiki-research-l] Experimental study of informal rewards in peer 
production
Date :  Thu, 26 Apr 2012 15:50:44 -0400
De :    Michael Restivo <[email protected]>
Pour :  Chitu Okoli <[email protected]>, Research into Wikimedia content and 
communities <[email protected]>



Hi Chitu,

Yes, your conjecture is spot-on. Here is a more detailed response that I sent 
to Joseph. I tried sending this to the wiki-research-l but the email keeps 
bouncing back to me. If you're interested and willing to share it with the 
list, that would be acceptable to me.

   We thought about this question quite extensively and there are a few reasons 
why we sampled the top 1% (which we didn't get around to discussing in this 
brief paper). First, because of the high degree of contribution inequality in 
Wikipedia's editing community, we were primarily interested in how status 
rewards affect the all-important core of highly-active editors. There is also a 
lot of turn-over in the long tail of the distribution, and even among the most 
active editors, there is considerable heterogeneity. Focusing on the most 
active users ensured us sufficient statistical power. (Post-hoc power analysis 
suggests that our sample size would need to be several thousand users in the 
80-90th percentiles, and several hundred in the 90-99th percentiles, to discern 
an effect of the same strength.) Also, we considered the question of construct 
validity:  which users are deserving (so to speak) of receiving an editing 
award or social recognition of their work?

   You are right that it should be fairly easy to extend this analysis beyond 
just the top 1%, but just how wide a net to cast remains a question. The issue 
of power calculation and sample size becomes increasingly difficult to manage 
for lower deciles because of the power-law distribution. And I don't think it 
would be very meaningful to assess the effect of barnstars on the bottom half 
of the distribution, for example, for the substantive reasons I mentioned 
above. Still, I'd be curious to hear what you think, and whether there might be 
some variations on this experiment that could overcome these limitations.

   In terms of data dredging, that is always a concern and I completely 
understand where you are coming from. In fact, as both and author and consumer 
of scientific knowledge, I'm rarely ever completely satisfied. For example, a 
related concern that I have is the filing cabinet effect - when research 
produces null (or opposite) results and hence the authors decide to not attempt 
to have it published.


   In this case, I actually started this project with the hunch that barnstars would lead 
to a slight decline in editing behavior; my rationale was that rewards would act as 
social markers that editors' past work was sufficient to earn social recognition and 
hence receiving such a reward would signal that the editor had "done enough" 
for the time being. In addition to there being substantial support for this idea in the 
economics literature, this intuition stemmed from hearing about an (unpublished) 
observational study of barnstars by Gueorgi Kossinets (formerly at Cornell, now at 
Google) that suggested editors receive barnstars at the peak of their editing activity. 
Of course, we chose an experimental design precisely to help us to tease out the causal 
direction as well as what effect barnstars have for recipients relative to their 
unrewarded counterparts. We felt like no matter what we found - either a positive, 
negative, or even no effect - it would have been interesting
   enough to publish, so hopefully that alleviates some of your concerns.

   Please let me know if you have any other questions, and I'd love to hear 
your thoughts about potential follow-ups to this research.



Regards,
Michael



On Thu, Apr 26, 2012 at 3:30 PM, Chitu Okoli <[email protected] 
<mailto:[email protected]>> wrote:

   One obvious issue is that it would be unethical to award barnstars to 
contributors who did not deserve them. However, the 1% most productive 
contributors, by definition, deserved the barnstars that the experimenter 
awarded them. Awarding barnstars to undeserving contributors for experimental 
purposes probably would not have flown so easily by the ethical review board. 
As the article notes:

   ----------
   This study's research protocol was approved by the Committees on Research 
Involving Human Subjects (IRB) at the State University of New York at Stony 
Brook (CORIHS #2011-1394). Because the experiment presented only minimal risks 
to subjects, the IRB committee determined that obtaining prior informed consent 
from participants was not required.
   ----------

   This is my conjecture; I'd like to hear the author's comments.

   ~ Chitu

   -------- Message original --------
   Sujet: [Wiki-research-l] Experimental study of informal rewards in peer 
production
   De : Joseph Reagle <[email protected] <mailto:[email protected]>>
   Pour : [email protected] <mailto:[email protected]>
   Copie à : Research into Wikimedia content and communities 
<[email protected] 
<mailto:[email protected]>>
   Date : 26 Avril 2012 11:42:01



   In this 
[study](http://www.plosone.org/article/info:doi%2F10.1371%2Fjournal.pone.0034358):

    > Abstract: We test the effects of informal rewards in online peer 
production. Using a randomized, experimental design, we assigned editing awards or 
“barnstars” to a subset of the 1% most productive Wikipedia contributors. 
Comparison with the control group shows that receiving a barnstar increases 
productivity by 60% and makes contributors six times more likely to receive 
additional barnstars from other community members, revealing that informal rewards 
significantly impact individual effort.

   I wonder why it is limited to the top 1%? I'd love to see the analysis 
repeated (should be trivial) on each decile. Besides satisfying my curiosity, 
some rationale and/or discussion of other deciles would also address any 
methodological concern about data dredging.

--
Michael Restivo
Department of Sociology
Social and Behavioral Sciences S-433
Stony Brook University
Stony Brook, NY 11794
[email protected] <mailto:[email protected]>
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