Thanks Nemo, I'll re-read that discussion. I think that conversation is where I became tentative of using bytes or edit counts.

Aaron, in my own search I also noticed you wrote with Geiger. About counting edit hour and edit sessions. [1]  Calculating content persistence is a bit too heavyweight for me right now since I am trying to submit to ACM Web Science in 2 weeks (hose CFP was just on this list). The technique looks great though, and I would like to help support making a WMFlabs tool that can return this measure.

It seems like I could calculate approximate edit-hours from just looking at Special:Contributions timestamps. Is that correct? Would you suggest this route?


[1] http://www-users.cs.umn.edu/~halfak/publications/Using_Edit_Sessions_to_Measure_Participation_in_Wikipedia/geiger13using-preprint.pdf



Maximilian Klein
Wikipedian in Residence, OCLC
+17074787023


From: wiki-research-l-bounces@lists.wikimedia.org <wiki-research-l-bounces@lists.wikimedia.org> on behalf of Aaron Halfaker <aaron.halfaker@gmail.com>
Sent: Friday, February 07, 2014 7:12 AM
To: Research into Wikimedia content and communities
Subject: Re: [Wiki-research-l] Preexsiting Researchers on Metrics for Users?
 
Hey Max,

There's a class of metrics that might be relevant to your purposes.  I refer to them as "content persistence" metrics and wrote up some docs about how they work including an example.  See https://meta.wikimedia.org/wiki/Research:Content_persistence.  

I gathered a list of papers below to provide a starting point.  I've included links to open access versions where I could.  These metrics are a little bit painful to compute due to the computational complexity of diffs, but I have some hardware to throw at the problem and another project that's bringing me in this direction, so I'd be interested in collaborating. 

Priedhorsky, Reid, et al. "Creating, destroying, and restoring value in Wikipedia." Proceedings of the 2007 international ACM conference on Supporting group work. ACM, 2007. http://reidster.net/pubs/group282-priedhorsky.pdf:
  • Describes "Persistent word views" which is a measure of value added per editor.  (IMO, value actualized)
B. Thomas Adler, Krishnendu Chatterjee, Luca de Alfaro, Marco Faella, Ian Pye, and Vishwanath Raman. 2008. Assigning trust to Wikipedia content. In Proceedings of the 4th International Symposium on Wikis (WikiSym '08). ACM, New York, NY, USA, , Article 26 , 12 pages. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.141.2047&rep=rep1&type=pdf
Halfaker, A., Kittur, A., Kraut, R., & Riedl, J. (2009, October). A jury of your peers: quality, experience and ownership in Wikipedia. In Proceedings of the 5th International Symposium on Wikis and Open Collaboration (p. 15). ACM. http://www-users.cs.umn.edu/~halfak/publications/A_Jury_of_Your_Peers/halfaker09jury-personal.pdf
  • Describes the use of "Persistent word revisions per word" as a measure of article contribution quality.
Halfaker, A., Kittur, A., & Riedl, J. (2011, October). Don't bite the newbies: how reverts affect the quantity and quality of Wikipedia work. In Proceedings of the 7th International Symposium on Wikis and Open Collaboration (pp. 163-172). ACM. http://www-users.cs.umn.edu/~halfak/publications/Don't_Bite_the_Newbies/halfaker11bite-personal.pdf
  • Describes the use of raw "Persistent work revisions" as a measure of editor productivity
  • Looking back on the study, I think I'd rather use log(# of revisions a word persists) * words. 
-Aaron


On Fri, Feb 7, 2014 at 1:48 AM, Federico Leva (Nemo) <nemowiki@gmail.com> wrote:
Sort of related, an ongoing education@ discussion "student evaluation criteria". http://thread.gmane.org/gmane.org.wikimedia.education/854

Nemo

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