Thanks Jonathan
On Thu, 27 Jun 2019 at 16:07, Jonathan Morgan <jmorgan(a)wikimedia.org> wrote:
RhinosF1,
All talks are recorded and archived on YouTube, so the link below should
still work. Let me know if there's a problem with the archiving and I'll
see what I can do. I'm also working on getting all slides linked to from
the Showcase page on
me.org, whenever possible!
It was a great series of talks this week. Hope you enjoy it! -J
On Wed, Jun 26, 2019, 19:04 RhinosF1 Wikipedia <rhinosf1(a)gmail.com> wrote:
For those that couldn't make it, Is there are
summary of what was said?
Thanks in advance,
RhinosF1
On Wed, 26 Jun 2019 at 18:58, Janna Layton <jlayton(a)wikimedia.org>
wrote:
> Hello everyone,
>
> Just a reminder that this event will be happening in about half an hour!
> Here's the Youtube link again:
>
https://www.youtube.com/watch?v=WiUfpmeJG7E
>
> On Tue, Jun 25, 2019 at 9:14 AM Janna Layton <jlayton(a)wikimedia.org>
> wrote:
>
>> Time correction:
>>
>> The next Research Showcase will be live-streamed next Wednesday, June
>> 26, at *11:30 AM PDT/18:30 UTC*.
>>
>> On Mon, Jun 24, 2019 at 4:11 PM Janna Layton <jlayton(a)wikimedia.org>
>> wrote:
>>
>>> Hi all,
>>>
>>> The next Research Showcase will be live-streamed this Wednesday, June
>>> 26, at 11:30 AM PST/19:30 UTC. We will have three presentations this
>>> showcase, all relating to Wikipedia blocks.
>>>
>>> YouTube stream:
https://www.youtube.com/watch?v=WiUfpmeJG7E
>>>
>>> As usual, you can join the conversation on IRC at #wikimedia-research.
>>> You can also watch our past research showcases here:
>>>
https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase
>>>
>>> This month's presentations:
>>>
>>> Trajectories of Blocked Community Members: Redemption, Recidivism and
>>> Departure
>>>
>>> By Jonathan Chang, Cornell University
>>>
>>> Community norm violations can impair constructive communication and
>>> collaboration online. As a defense mechanism, community moderators
often
>>> address such transgressions by
temporarily blocking the perpetrator.
Such
>>> actions, however, come with the cost
of potentially alienating
community
>>> members. Given this tradeoff, it is
essential to understand to what
extent,
>>> and in which situations, this common
moderation practice is effective
in
>>> reinforcing community rules. In this
work, we introduce a
computational
>>> framework for studying the future
behavior of blocked users on
Wikipedia.
>>> After their block expires, they can
take several distinct paths: they
can
>>> reform and adhere to the rules, but
they can also recidivate, or
>>> straight-out abandon the community. We reveal that these trajectories
are
>>> tied to factors rooted both in the
characteristics of the blocked
>>> individual and in whether they perceived the block to be fair and
>>> justified. Based on these insights, we formulate a series of
prediction
>>> tasks aiming to determine which of
these paths a user is likely to
take
>>> after being blocked for their first
offense, and demonstrate the
>>> feasibility of these new tasks. Overall, this work builds towards a
more
>>> nuanced approach to moderation by
highlighting the tradeoffs that are
in
>>> play.
>>>
>>>
>>> Automatic Detection of Online Abuse in Wikipedia
>>>
>>> By Lane Rasberry, University of Virginia
>>>
>>> Researchers analyzed all English Wikipedia blocks prior to 2018 using
>>> machine learning. With insights gained, the researchers examined all
>>> English Wikipedia users who are not blocked against the identified
>>> characteristics of blocked users. The results were a ranked set of
>>> predictions of users who are not blocked, but who have a history of
conduct
>>> similar to that of blocked users.
This research and process models a
system
>>> for the use of computing to aid human
moderators in identifying
conduct on
>>> English Wikipedia which merits a
block.
>>>
>>> Project page:
>>>
https://meta.wikimedia.org/wiki/University_of_Virginia/Automatic_Detection_…
>>>
>>> Video:
https://www.youtube.com/watch?v=AIhdb4-hKBo
>>>
>>>
>>> First Insights from Partial Blocks in Wikimedia Wikis
>>>
>>> By Morten Warncke-Wang, Wikimedia Foundation
>>>
>>> The Anti-Harassment Tools team at the Wikimedia Foundation released
the
>>> partial block feature in early 2019.
Where previously blocks on
Wikimedia
>>> wikis were sitewide (users were
blocked from editing an entire wiki),
>>> partial blocks makes it possible to block users from editing specific
pages
>>> and/or namespaces. The Italian
Wikipedia was the first wiki to start
using
>>> this feature, and it has since been
rolled out to other wikis as
well. In
>>> this presentation, we will look at
how this feature has been used in
the
> first few months since release.
>
>
> --
> Janna Layton (she, her)
> Administrative Assistant - Audiences & Technology
> Wikimedia Foundation <https://wikimediafoundation.org/>
>
--
Janna Layton (she, her)
Administrative Assistant - Audiences & Technology
Wikimedia Foundation <https://wikimediafoundation.org/>
--
Janna Layton (she, her)
Administrative Assistant - Audiences & Technology
Wikimedia Foundation <https://wikimediafoundation.org/>
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