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 <jlay...@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 <jlay...@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_of_Online_Abuse
>> 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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