Looks like these kind of methods would be useful:
https://www.aaai.org/ocs/index.php/ICWSM/ICWSM16/paper/viewPDFInterstitial/13077/12764
I've been looking to implement edit type modeling in ORES. You could use
something like this to build a profile on each editor by what types of work
they generally do on articles. Right now, this has been deprioritized, but
I've got some interested from Wikimedia Product ("Audiences"), so we might
prioritize it soon. I'd love to pull in a contractor to do the work to
bring it to ORES.
On Tue, Jun 11, 2019 at 9:15 AM Ziko van Dijk <[email protected]> wrote:
> Hello Amir,
>
> Interesting, I called this phenomenon "foreigh helpers" nearly 10 years
> ago:
> https://de.wikipedia.org/wiki/Benutzer:Ziko/Handbuch-Allgemeines
> These people do not speak the language of the language version -
> otherwise they would be simply a 'normal' part of the community. But
> they help out with skills, maybe especially those that are not
> existing in the small community.
> I have considered also a foreign helper who is supporting translation
> tools or platforms, like GerardM with providing scripts or people who
> support translatewiki. But that is usually an activity outside the
> wiki.
>
> Kind regards.
> Ziko
>
>
>
>
> Am Mi., 5. Juni 2019 um 16:04 Uhr schrieb Kiril Simeonovski
> <[email protected]>:
> >
> > Hi all,
> >
> > I think this is an excellent research topic that might give us helpful
> > insights on how Wikipedias can benefit from the support provided by
> > non-speakers. Discerning the namespaces where this support ends and
> whether
> > it was made by humans or bots may also give highly useful information. My
> > observations so far regarding any support by the so-called "helpful
> > strangers" can be summarised in the following conclusions:
> >
> > * The larger the community size of a Wikipedia, the higher
> rules-lawyering
> > applied to the "helpful strangers". This means that:
> > ** Very small Wikipedias (less than 25 active contributors) do not have a
> > strict set of rules nor a native-speaking contributors to watch and every
> > kind of support is welcome (mostly in the form of bot-generated articles
> > and automatic translation of templates).
> > ** Small Wikipedias (from 25-100 active contributors) do have some set of
> > rules and some native-speaking contributors but most kinds of support are
> > still welcome.
> > ** Medium-sized Wikipedias (from 100-1,000 active contributors) do have a
> > clear set of rules and a native-speaking community to take care of
> > everything; the room for support is limited to human editing that abides
> > some rules and sometimes community permission is required (mostly comes
> in
> > the form of categorisation an correction of templates, while
> bot-generated
> > stuff is mostly done by native speakers with a bot flag required for
> > strangers).
> > ** Large Wikipedias (over 1,000 active contributors) do have rules about
> > things that could have not been imagined and native-speaking community
> that
> > easily manages the fields where the strangers could help in, making them
> > not attractive for non-native speakers to come in and help.
> >
> > Another dimension could be a research on the block log of the "helpful
> > strangers" that might explain how these contributors are accepted by the
> > communities they are helping to.
> >
> > Best regards,
> > Kiril
> >
> > On Wed, Jun 5, 2019 at 13:24 Andy Mabbett <[email protected]>
> wrote:
> >
> > > On Wed, 5 Jun 2019 at 09:42, Amir E. Aharoni
> > > <[email protected]> wrote:
> > >
> > > > There is a phenomenon in Wikipedias in smaller languages: There
> activity
> > > > level of people who actually know the language of the wiki and make
> > > > meaningful text contributions is relatively low, and the activity of
> > > people
> > > > from other wikis who make various technical edits that don't require
> the
> > > > knowledge of the language is relatively high.
> > >
> > > > Now, I've written "relatively low" and "relatively high", but these
> are
> > > > just my anecdotal impressions. Has anyone thought of a way to
> quantify
> > > this
> > > > more precisely?
> > >
> > > It won't answer the question fully, but you can narrow down the
> > > results by looking at babel templates to see which languages they
> > > self-rate as being proficient in, or otherwise, on their home
> > > project(s).
> > >
> > > I try to act as a "helpful stranger" on non-English projects, for
> > > instance by adding images and {{Authority control}} templates. This is
> > > usually well received, but there are a couple of projects where the
> > > former at least is apparently not welcome, and I've recently been
> > > blocked (with no warning; my talk page ink is still red), with no talk
> > > page or email access, on Lithuanian Wikipedia. In 2015 I was accused
> > > of "vandalism" and "trolling" there.
> > >
> > > Happy to discuss my experiences - good and bad - off-list, if that
> > > will help your research.
> > >
> > > --
> > > Andy Mabbett
> > > @pigsonthewing
> > > http://pigsonthewing.org.uk
> > >
> > > _______________________________________________
> > > Wiki-research-l mailing list
> > > [email protected]
> > > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
> > >
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--
Aaron Halfaker
Principal Research Scientist
Head of the Scoring Platform team
Wikimedia Foundation
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