This is a reminder that this event will happen in less than 35 min. Here's the streaming link: https://www.youtube.com/watch?v=wgnnVG7sLQ0
On Mon, Aug 18, 2014 at 9:37 AM, Leila Zia <[email protected]> wrote: > The next Research & Data showcase > <https://www.mediawiki.org/wiki/Analytics/Research_and_Data/Showcase> > will be live-streamed this Wednesday, 8/20 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: > > *Everything You Know About Mobile Is WrW^Right: Editing and Reading > Pattern Variation Between User Types* > By *Oliver Keyes*: Using new geolocation tools, we look at reader and > editor behaviour to understand how and when people access and contribute to > our content. This is largely exploratory research, but has potential > implications for our A/B testing and how we understand both cultural > divides between reader and editor groups from different countries, and how > we understand the differences between types of edit and the editors who > make them. > > *Wikipedia article curation: understanding quality, recommending tasks* > By *Morten Warncke-Wang**: In this talk we look at article curation in > Wikipedia through the lens of task suggestions and article quality. The > first part of the talk presents SuggestBot, the Wikipedia article > recommender. SuggestBot connects contributors with articles similar to > those they previously edited. In the second part of the talk, we discuss > Wikipedia article quality using “actionable” features, features that > contributors can easily act upon to improve article quality. We will first > discuss these features’ ability to predict article quality, before coming > back to SuggestBot and show how these predictions and actionable features > can be used to improve the suggestions. > > *Bio: Morten Warncke-Wang is a PhD student at the GroupLens research lab, > University of Minnesota. His main research focus is artefact quality and > task recommendations in peer production communities. On the task > recommendation side he has maintained the Wikipedia article recommender > SuggestBot (http://en.wikipedia.org/wiki/User:SuggestBot) since 2010, > expanding it to support six languages and additional information about > recommended articles. His work on artefact quality looks at understanding > quality through features contributors can easily improve, using them to > both predict Wikipedia article quality and suggest improvement tasks to > Wikipedia contributors. > > You can find more information about his research on his homepage: > http://www-users.cs.umn.edu/~morten/ >
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