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 <rhino...@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 <jlay...@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 <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/> >> _______________________________________________ >> Analytics mailing list >> analyt...@lists.wikimedia.org >> https://lists.wikimedia.org/mailman/listinfo/analytics >> > _______________________________________________ > Analytics mailing list > analyt...@lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/analytics > _______________________________________________ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
