Hi Everyone,

Quick correction.

The next Research Showcase will be live-streamed this Wednesday, February
21, 2018 at 11:30 AM (PST) *19:30 (UTC).*


Sarah R.

On Thu, Feb 15, 2018 at 10:38 AM, Sarah R <srodl...@wikimedia.org> wrote:

> Hi Everyone,
> The next Research Showcase will be live-streamed this Wednesday, February
> 21, 2018 at 11:30 AM (PST) 18:30 UTC.
> YouTube stream: https://www.youtube.com/watch?v=fpmRWCE7F_I
> As usual, you can join the conversation on IRC at #wikimedia-research.
> And, you can watch our past research showcases here
> <https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase>.
> This month's presentation:
> *Visual enrichment of collaborative knowledge bases*
> By Miriam Redi, Wikimedia Foundation
> Images allow us to explain, enrich and complement knowledge without
> language barriers [1]. They can help illustrate the content of an item in a
> language-agnostic way to external data consumers. Images can be extremely
> helpful in multilingual collaborative knowledge bases such as Wikidata.
> However, a large proportion of Wikidata items lack images. More than 3.6M
> Wikidata items are about humans (Q5), but only 17% of them have an image
> associated with them. Only 2.2M of 40 Million Wikidata items have an image.
> A wider presence of images in such a rich, cross-lingual repository could
> enable a more complete representation of human knowledge.
> In this talk, we will discuss challenges and opportunities faced when
> using machine learning and computer vision tools for the visual enrichment
> of collaborative knowledge bases. We will share research to help Wikidata
> contributors make Wikidata more “visual” by recommending high-quality
> Commons images to Wikidata items. We will show the first results on
> free-licence image quality scoring and recommendation and discuss future
> work in this direction.
> [1] Van Hook, Steven R. "Modes and models for transcending cultural
> differences in international classrooms." Journal of Research in
> International Education 10.1 (2011): 5-27. http://journals.sagepub.com/
> doi/abs/10.1177/1475240910395788
> *Backlogs—backlogs everywhere: Using machine classification to clean up
> the new page backlog*
> By Aaron Halfaker, Wikimedia Foundation
> If there's one insight that I've had about the functioning of Wikipedia
> and other wiki-based online communities, it's that eventually self-directed
> work breaks down and some form of organization becomes important for task
> routing.  In Wikipedia specifically, the notion of "backlogs" has become
> dominant.  There's backlogs of articles to create, articles to clean up,
> articles to assess, new editor contributions to review, manual of style
> rules to apply, etc.  To a community of people working on a backlog, the
> state of that backlog has deep effects on their emotional well being.  A
> backlog that only grows is frustrating and exhausting.
> Backlogs aren't inevitable though and there are many shapes that backlogs
> can take.  In my presentation, I'll tell a story about where English
> Wikipedia editors defined a process and set of roles that formed a backlog
> around new page creations.  I'll make the argument that this formalization
> of quality control practices has created a choke point and that
> alternatives exist. Finally I'll present a vision for such an alternative
> using models that we have developed for ORES, the open machine prediction
> service my team maintains.
> --
> Sarah R. Rodlund
> Senior Project Coordinator-Product & Technology, Wikimedia Foundation
> srodl...@wikimedia.org

Sarah R. Rodlund
Senior Project Coordinator-Product & Technology, Wikimedia Foundation | Hic
sunt leones

*“Our lives begin to end the day we become silent about things that
matter.”  ~ Martin Luther King Jr
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