The Research Showcase will be starting in about 30 minutes! Details below. On Thu, Feb 13, 2020 at 1:32 PM Janna Layton <jlay...@wikimedia.org> wrote:
> Hi all, > > The next Research Showcase will be live-streamed on Wednesday, February > 19, at 9:30 AM PST/17:30 UTC. We’ll have presentations from Jeffrey V. > Nickerson on human/machine collaboration on Wikipedia, and Lucie-Aimée > Kaffee on human/machine collaboration on Wikidata. A question-and-answer > session will follow. > > YouTube stream: https://www.youtube.com/watch?v=fj0z20PuGIk > > 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: > > Autonomous tools and the design of work > > By Jeffrey V. Nickerson, Stevens Institute of Technology > > Bots and other software tools that exhibit autonomy can appear in an > organization to be more like employees than commodities. As a result, > humans delegate to machines. Sometimes the machines turn and delegate part > of the work back to humans. This talk will discuss how the design of human > work is changing, drawing on a recent study of editors and bots in > Wikipedia, as well as a study of game and chip designers. The Wikipedia bot > ecosystem, and how bots evolve, will be discussed. Humans are working > together with machines in complex configurations; this puts constraints on > not only the machines but also the humans. Both software and human skills > change as a result. Paper > <https://dl.acm.org/doi/pdf/10.1145/3359317?download=true> > > > When Humans and Machines Collaborate: Cross-lingual Label Editing in > Wikidata > > By Lucie-Aimée Kaffee, University of Southampton > > The quality and maintainability of any knowledge graph are strongly > influenced in the way it is created. In the case of Wikidata, the knowledge > graph is created and maintained by a hybrid approach of human editing > supported by automated tools. We analyse the editing of natural language > data, i.e. labels. Labels are the entry point for humans to understand the > information, and therefore need to be carefully maintained. Wikidata is a > good example for a hybrid multilingual knowledge graph as it has a large > and active community of humans and bots working together covering over 300 > languages. In this work, we analyse the different editor groups and how > they interact with the different language data to understand the provenance > of the current label data. This presentation is based on the paper “When > Humans and Machines Collaborate: Cross-lingual Label Editing in Wikidata”, > published in OpenSym 2019 in collaboration with Kemele M. Endris and Elena > Simperl. Paper > <https://opensym.org/wp-content/uploads/2019/08/os19-paper-A16-kaffee.pdf> > > > -- > Janna Layton (she, her) > Administrative Assistant - Product & Technology > Wikimedia Foundation <https://wikimediafoundation.org/> > -- Janna Layton (she, her) Administrative Assistant - Product & 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: Wikimedia-l@lists.wikimedia.org Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l, <mailto:wikimedia-l-requ...@lists.wikimedia.org?subject=unsubscribe>
