a reminder that the showcase will start at 11.30 PT. Broadcast link: http://youtu.be/Hj7o5d-OEis <http://youtu.be/Hj7o5d-OEis>
> On May 11, 2015, at 4:27 PM, Leila Zia <le...@wikimedia.org> wrote: > > Hi everyone, > > The next research showcase will be live-streamed this Wednesday, May 13 at > 11.30 PT. The streaming link will be posted on the lists a few minutes before > the showcase starts and as usual, you can join the conversation on IRC at > #wikimedia-research. > > We look forward to seeing you! > > Leila > > This month > > The people's classifier: Towards an open model for algorithmic infrastructure > By Aaron Halfaker <https://www.mediawiki.org/wiki/User:Halfak_(WMF)> > > Recent research has implicated that Wikipedia's algorithmic infrastructure is > perpetuating social issues. However, these same algorithmic tools are > critical to maintaining efficiency of open projects like Wikipedia at scale. > But rather than simply critiquing algorithmic wiki-tools and calling for less > algorithmic infrastructure, I'll propose a different strategy -- an open > approach to building this algorithmic infrastructure. In this presentation, > I'll demo a set of services that are designed to open a critical part > Wikipedia's quality control infrastructure -- machine classifiers. I'll also > discuss how this strategy unites critical/feminist HCI with more dominant > narratives about efficiency and productivity. > > Social transparency online > By Jennifer Marlow <http://www.aboutjmarlow.com/> and Laura Dabbish > <http://www.lauradabbish.com/> > > An emerging Internet trend is greater social transparency, such as the use of > real names in social networking sites, feeds of friends' activities, traces > of others' re-use of content, and visualizations of team interactions. There > is a potential for this transparency to radically improve coordination, > particularly in open collaboration settings like Wikipedia. In this talk, we > will describe some of our research identifying how transparency influences > collaborative performance in online work environments. First, we have been > studying professional social networking communities. Social media allows > individuals in these communities to create an interest network of people and > digital artifacts, and get moment-by-moment updates about actions by those > people or changes to those artifacts. It affords and unprecedented level of > transparency about the actions of others over time. We will describe > qualitative work examining how members of these communities use transparency > to accomplish their goals. Second, we have been looking at the impact of > making workflows transparent. In a series of field experiments we are > investigating how socially transparent interfaces, and activity trace > information in particular, influence perceptions and behavior towards others > and evaluations of their work. > > _______________________________________________ > Analytics mailing list > Analytics@lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/analytics
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