When you consider a "top tier conference", how do you know you are not
excluding contributions that might be not just novel but also truly
important?
It seems that page rank plays the role of beauty contest in the sense
that top-ranked pages are those already in the view of others. I have
seen comments that this filters against novelty, possibly crucial
novelty.
Jack
On Tue, Mar 15, 2011 at 11:56 AM, Chitu Okoli <Chitu.Okoli(a)concordia.ca> wrote:
James and Travis, you bring up a point that we have
struggled back and forth
with for several months. We really, really would like to include conference
articles, but we just can't see how we could handle many more articles than
what we've got now. We've been working on and off on this project for over
two years now. (You can find works in progress at the link at the bottom to
my website.) We'd like to get it done eventually, and we can only handle so
many articles.
We considered including top-tier conferences, but the question is, what is a
"top conference"? In trying to answer this, we looked at a couple of
sources:
* Top Tier and 2nd tier conferences from
http://webdocs.cs.ualberta.ca/~zaiane/htmldocs/ConfRanking.html
* A-ranked conferences in Information and Computing Sciences from
http://lamp.infosys.deakin.edu.au/era/?page=cforsel10
* We also considered including all WikiSym articles on Wikipedia
We identified which of the 1,500 conference papers from
http://en.wikipedia.org/wiki/User:Moudy83/conference_papers were "top
conferences" by those definitions, and we found over 400. On top of our 600
journal articles and doctoral theses, we think 1,000 papers is just too much
for us to handle.
If we could somehow narrow it down to 100 relevant conference papers, we
could add that in, but no more. However, how do we select which conferences
are "must includes" while unfortunately leaving out the rest? We just
don't
know how to do this in a non-arbitrary, objective manner that would truly
identify the top 100 conference papers on Wikipedia that contribute to
scholarly knowledge.
Any ideas on how to do this would be very much appreciated.
Regards,
Chitu
-------- Message original --------
Sujet: Re: [Wiki-research-l] Request to verify articles for Wikipedia
literature review
De : Travis Kriplean <travis(a)cs.washington.edu>
Pour : Research into Wikimedia content and communities
<wiki-research-l(a)lists.wikimedia.org>
Date : 14/03/2011 3:46 PM
As an HCI/CS researcher who has published at top peer-reviewed conferences
about Wikipedia, but not journals, I'd like to echo James' statements.
Journals are not the norm in CS/HCI research. Knowledge is shared through
conferences, not journals.
On 3/14/11 11:32 AM, James Howison wrote:
Hi there,
Great project; massive but will be much appreciated. We did something
similar for empirical studies of Open Source, recently accepted at ACM
Computing Surveys (PDF pre-print available here [1], article not in print
until 2012 (!! that's another email entirely, bah))
I recognize the need to cut down the number of articles for review, we
reviewed around 600 and that was a multi-year effort. We did that mainly by
excluding conceptual (hence empirical) or passing reference articles (ie we
did a two-step filter on many more articles), but were forced to only do
journal articles for updates during the (long) revision process. I regret
that necessity, it decreases the utility of the work.
Given the publication venues of choice for many academics in this community
I do wonder if you aren't shooting yourself in the foot by excluding
peer-reviewed conferences and restricting to journals. Personally I'd
rather read a review that included the top journals and top conferences than
one that included all journals. Or even rather read a review over a shorter
time period that included publications over journals and conferences, or on
more specified topics. The interesting question is, "what do we know about
wikipedia" not "what did we publish in journals about wikipedia". In
particular you will find you have systematically excluded the contribution
of HCI authors.
Given the commendable and massive effort you are providing (and your
approach to coverage below is really interesting), getting that wrong at the
outset seems a shame.
Best regards,
James Howison
[1] Crowston, K., Wei, K., Howison, J., and Wiggins, A. (2012). Free (libre)
open source software development: What we know and what we do not know. ACM
Computing Surveys, 44(2):
http://floss.syr.edu/content/freelibre-open-source-software-development-wha…
On Mar 14, 2011, at 13:58, Chitu Okoli wrote:
Hi everyone,
We are a research group conducting a systematic literature review on
Wikipedia-related peer-reviewed academic studies published in the English
language. (Although there are many excellent studies in other languages, we
unfortunately do not have the resources to systematically review these at
any kind of acceptable scholarly level. Also, our study is about Wikipedia
only, not about other Wikimedia Foundation projects. However, we do include
studies about other language Wikipedias, as long as the studies are
published in English.) We have completed a search using many major databases
of scholarly research. In a separate thread, we will also talk about
research questions related to our review.
Thanks for your help.
Chitu Okoli, Concordia University, Montreal, Canada
(
http://chitu.okoli.org/professional/open-content/wikipedia-and-open-content…)
Arto Lanamäki, University of Agder, Kristiansand, Norway
Mohamad Mehdi, Concordia University, Montreal, Canada
Mostafa Mesgari, Concordia University, Montreal, Canada
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