Re: [Wikimedia-l] [Wikimedia Research Showcase] June 26, 2019 at 11:30 AM PST, 19:30 UTC

2019-06-26 Thread Janna Layton 
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  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 
> 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 
>>
>
>
> --
> Janna Layton (she, her)
> Administrative Assistant - Audiences & Technology
> Wikimedia Foundation 
>


-- 
Janna Layton (she, her)
Administrative Assistant - Audiences & Technology
Wikimedia Foundation 
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Re: [Wikimedia-l] [Wikimedia Research Showcase] June 26, 2019 at 11:30 AM PST, 19:30 UTC

2019-06-26 Thread AZ Mayank 
Any wikipedia meetup or anything next month ? I want to participate from
Nepal ? Let me know?

Best,
Owlf

On Tue, Jun 25, 2019, 10:00 PM Janna Layton  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 
> 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 
> >
>
>
> --
> Janna Layton (she, her)
> Administrative Assistant - Audiences & Technology
> Wikimedia Foundation 
> ___
> Wikimedia-l mailing list, guidelines at:
> https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and
> https://meta.wikimedia.org/wiki/Wikimedia-l
> New messages to: Wikimedia-l@lists.wikimedia.org
> Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l,
> 
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Re: [Wikimedia-l] [Wikimedia Research Showcase] June 26, 2019 at 11:30 AM PST, 19:30 UTC

2019-06-25 Thread Janna Layton 
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  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 
>


-- 
Janna Layton (she, her)
Administrative Assistant - Audiences & Technology
Wikimedia Foundation 
___
Wikimedia-l mailing list, guidelines at: 
https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and 
https://meta.wikimedia.org/wiki/Wikimedia-l
New messages to: Wikimedia-l@lists.wikimedia.org
Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l,