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 > _______________________________________________ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
