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 <[email protected]> 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 <[email protected]> > 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/> _______________________________________________ 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: [email protected] Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l, <mailto:[email protected]?subject=unsubscribe>
