On Feb 15, 2018 03:20, "Martin Potthast" <martin.potthast(a)uni-weimar.de>
wrote:
Hi Leila,
thanks for the pointers! We've already been in touch with Vinitha, Gergő,
and Adam, talking about potential points of connecting the two projects.
Great. :)
I
will look into the Sockpuppet detection project. About the workshop, I'm
not sure if we can manage to write up something by the time of the deadline.
You are not stranger to the workshop ;) but just to emphasize: the
submissions can be about ideas, work-in-progress, or completed research,
anywhere from 2-8 pages long. No pressure, of course. :)
Srijan is telling me it's very likely he will be there in the workshop (in
the conference for sure). If you end up joining us, we can have some f2f
chat about this as well, which is always nice. :)
Leila
Martin
On Mon, Feb 12, 2018 at 8:41 PM, Leila Zia <leila(a)wikimedia.org> wrote:
Hi Martin,
Thanks for the update. I'm very interested to learn more once you have
more to share.
I'm not sure if you're aware of the research on sockpuppet detection.
It's a different problem than what you describe here, but I would not
be surprised if learnings from each of these projects can help
another. You can keep in touch with the sockpuppet detection at
https://meta.wikimedia.org/wiki/Research:Sockpuppet_
detection_in_Wikimedia_projects
Also, if you will have early results, feel free to submit them as part
of the March 11 deadline (
http://wikiworkshop.org/2018/#dates) for
Wiki Workshop. It would be great to have a chance to discuss this
research more in person if you or your team will end up being in Lyon
for TWC2019.
Best,
Leila
On Sat, Jan 20, 2018 at 2:39 AM, Martin Potthast
<martin.potthast(a)uni-leipzig.de> wrote:
Hi everyone,
we [1] would like to announce a research project with the goal of
studying
> whether user interactions recorded at the time of editing are suitable
to
predict
vandalism in real time.
Should vandal editing behavior be sufficiently different from normal
editing behavior, this would allow for a number of interesting real-time
prevention techniques. For example:
- withholding confidently suspicious edits for review before publishing
them,
- a popup asking "I am not a vandal" (as in Google's "I am not a
robot")
to
analyze vandal reactions,
- a popup with a chat box to personally engage vandals, e.g., to help
them
> find other ways of stress relief or to understand them better,
> - or at the very least: a new signal to improve traditional vandalism
> detectors.
>
> We have set up a laboratory environment to study editor behavior in a
> realistic setting using a private mirror of Wikipedia. No editing
> whatsoever is conducted on the real Wikipedia as part of our
experiments,
and all test
subjects of our user studies are made aware of the
experimental nature of their editing. We plan on making use of
crowdsourcing as a means to attain scale and diversity.
If you wish to participate in this study as a test subject yourself,
please
get in touch. The more diversity, the more
insightful the results will
be.
We are also happy to collaborate and to answer
all questions that may
arise
in relation to the project. For example, our
setup and tooling may turn
out
to be useful to study other user behavior-related
things without having
to
> actually deploy experiments within the live MediaWiki.
>
> Best,
> Martin
>
> PS: The AICaptcha project seems most closely related. @Vinitha and
Gergő:
> If you wish, we can set up a Skype meeting to
talk about a avenues for
> collaboration.
>
>
> [1] A group of students and researchers from Bauhaus-Universität Weimar
(
www.webis.de)
and Leipzig University (
www.temir.org); project PI: Martin
Potthast.
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--
Dr. Martin Potthast
Bauhaus-Universität Weimar
Digital Bauhaus Lab
Bauhausstr. 9a
99423 Weimar
Germany
+49 3643 58 3567
+49 171 809 1945
www.potthast.net
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