Dear Ziko,
No worries about limitations. The rule is usually simple. Acknowledge
them or overcome them, but do not hide them.
Still, I am not sure if your goal is a method to be applied by all
Wikipedia researchers, you can do without strong empirical data. A
universal method requires strong evidence, robust mechanism, or
compelling story.
May I suggest you if you know vls.WP version so well, you might want
to start a model from that and collect necessary data for that
particular version. Do not assume you will find no problem in the
process. Since your methods seem to be very quantitative, you can try
to start small from that.
The time-edit distribution (71->80) explanation seems plausible, and
that is exactly what I have suggested earlier about determining the
threshold from the actual distribution. You might not have the whole
distribution at this moment, but it sounds much better if you at least
provide a concrete example to explain why you pick that number. Still,
your definition will be much more definitive if you have solid overall
data, previous study, etc. The more supporting material you have, the
stronger the threshold number that you pick. (you then can change "may
be" into "more likely")
Again, as for the foreign helpers, I do think it depends on contexts
and the questions you are asking. Try to think how do you apply that
model into minority language or dialect on other Wikipedia projects. It
is not as simple as you imagine to be, such as Latin, Hakka, etc. Also,
since the machine-translated content across Wikipedia, though not
allowed, is still quiet common. You have to define what do you mean by
foreign helpers or native contributors. It is not totally impossible
for a foreign helper to have a native account. Some foreign helpers may
read but does not write, so their contribution pattern may be different.
Having said that, I guess on this point you can simply say that it is
not of your research interest and treat them as outliers (as in
quantitative methods). Do remember to document that you do so as you do.
Some people get offended, I guess, because you seem to make a hasty
generalization and a strong definition without enough evidence. The
first version you propose "I calculate...." is very problematic in this
regard.
Research is always a balance between making things forward and solid
steps. The suggestions that I made are not designed to slow you down or
stop you, but rather a warm reminder that you jump too fast. Reagle's
research uses the self-reported category of "active users" can provide
some dimension on self-perception. It might be interesting to see how
the two dimensions (perceived and edit frequency) match or mismatch in
the future. It is through reviewing previous work that you can make
solid advance, though sometimes it is felt to be a drag.....
hanteng
Ziko van Dijk wrote:
Dear Han-Teng,
Thank you for the substantial answer, which helps me to go on.
My problem is that my technical skills are limited, and I am also
looking for methods that can easily be applied by all Wikipedia
researchers (and to all WPs). There is no problem to tell how many
"regular contributors" vls.WP has, because they are only three guys
who know each other well.
I have counted with the help of "Recent Changes", and looked closer at
those Wikipedians who did at least one edit in one specific week.
Otherwise I would not have known where to look. Maybe I should look
longer that a week (like three months and then drop the
six-months-ago-first-edit-criterion), but that would mean a lot of
more work, at least in those bigger Wikipedias.
I have chosen a minimum of 10 edits because Wikimedia Statistics does
so for "Wikipedians". It seems enough to see wether a person (usually
an I.P.) shows interest only in one specific article he wants to set
right, but is not interested in editing after that. By the way, if I
would shorten the six months (first edit) to three, the number of
regular contributors would raise from 71 to 80. May be suitable as well.
I consider only speakers of the language concerned because only they
can contribute sence having text (it does not matter whether they
contribute a lot of content, but that they can do). The Foreign
Helpers are very important, but secondary. They would not "exist" if
speakers of the language had not created content etc. One cannot do
interwiki linking and anti-vandalism if there is no WP or no article.
Ziko
2008/10/22 Han-Teng Liao (OII) <han-teng.liao(a)oii.ox.ac.uk
<mailto:han-teng.liao@oii.ox.ac.uk>>:
Put the philosophical questions aside,
"analytical" categories
(rather than
social categories) should be linked to your
research questions.
Analytical
categories should thus not be universal in this
sense, but rather
are tied
back to your research questions.
I guess it is better to say, "I develop a way to define a 'regular
contributor'....in eo.WP" rather than "I calculated a..." because it
is not
a pure math calculation but a definition with
your own making (and the
following credits AND responsibility).
The below is a point-to-point critique and suggestions...
* made at least one edit in that week
--It seems arbitrary to come up with a number within a certain time
frame.
Again, if you can come up with a distribution of
edits over
contributors,
either through previous study or your study, that
the contributors
who match
your profile have made 75% of the new edits in
the past month (the time
frame issue still needs to be sorted out about the frequency of
edits), it
will be much convincing....
* obviously speaks Esperanto (is no "foreign helper" like someone who
does Interwiki linking)
--If your research question is about actual content contributor in the
strict sense, then you might "exclude" those foreign helpers.
However,
you
have take that as limitation because you might
lose those who provide
foreign links then have real impact on the content. To my limited
experience in Chinese Wikipedia, these happen quiet often in entries and
issues that involve East Asian or Sino-US context.
* made his first edit at least six months ago
--Again, it seems arbitrary. If you can come up a distribution of
users'
contribution over time (i.e. frequency), you
might be able to develop a
matrix that can include certain amount of people that you call "regular
contributors). You have to acknowledge that you exclude the newbies
with
this because you, again, cite previous research
or use common sense,
suggesting most of the newbies are not becoming "regular contributors".
Still if you do so, you have to follow up on your research to see
whether it
is true that those newbies do become
"regular contributors" will not
have
significant impact on your results and analysis.
* made at least ten edits at all
--Again, it seems arbitrary. Find the overall profile. Define your
questions. Determine the selection threshold and be ready to defend
your
picks with previous research or common sense.
Ziko van Dijk wrote:
Hello,
From time to time I ask myself (and others) what
is a "regular
contributor" to a Wikipedia language edition. According to
"Tell us
about your Wikipedia" the definitions are quite different.
At eo.WP I once checked a week long (in this August) who was making
edits, and I calculated a "regular contributor" if someone
* made at least one edit in that week
* obviously speaks Esperanto (is no "foreign helper" like someone who
does Interwiki linking)
* made his first edit at least six months ago
* made at least ten edits at all
My result was: 71, compared to 141 "active users" and 50 "very active
users" (Wikimedia Statistics, May 2008).
What do you think about this definition?
Kind regards
Ziko van Dijk
--
Liao,Han-Teng
DPhil student at the OII(web)
needs you(blog)
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Ziko van Dijk
NL-Silvolde
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*Liao <http://zhongwen.com/cgi-bin/zipux2.cgi?b5=%E5%BB%96>,Han
<http://zhongwen.com/cgi-bin/zipux2.cgi?b5=%E6%BC%A2>-Teng
<http://zhongwen.com/cgi-bin/zipux2.cgi?b5=%E9%A8%B0>*
DPhil student at the OII <http://people.oii.ox.ac.uk/hanteng/about/>(web)
needs you <http://people.oii.ox.ac.uk/hanteng/>(blog)