a reminder that the showcase will start at 11.30 PT. Broadcast link:
On May 11, 2015, at 4:27 PM, Leila Zia
<leila(a)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(a)lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/analytics