Wikimedia Research

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Welcome to the home of Wikimedia Research.

Mandate[edit]

We are a team of data scientists, UX researchers, and engineers at the Wikimedia Foundation using data to understand and empower millions of readers and contributors who interact with Wikipedia and its sister projects on a daily basis. We turn research questions into publicly shared knowledge, we design and test new technology, we produce empirical insights to support product and engineering decisions and we publish research informing the organization’s and the movement’s strategy. We are strongly committed to principles of transparency, privacy and collaboration; we use free and open source technology and we collaborate with researchers in the industry and academia. Wikimedia Research brings together Design Research and Research and Data.

Highlights[edit]

Increasing content coverage

Revision scoring as a service

WMF Metrics & Activities Meeting September 2015.pdf The Revision Scoring Service (Wikimania 2015).pdf

We're designing and testing recommender systems to accelerate the rate of content creation and help our contributors and content translators fill the gap between content supply and demand in Wikipedia across languages. Watch a presentation of our results or read more about this project.

We're building machine learning classifiers to make automated quality assessment available as a service to content curators and tool developers. We designed APIs to compute article and edit quality scores and an extensible framework for rolling out new models trained with user input. Learn more about this project and the code behind it. (press)

Top departmental priorities[edit]

These are our current priorities for the 2015-16 fiscal year.

Team Priority
Research and Data Design and evaluate algorithms (edit quality classifier, task routers, article creation recommendations, reading recommendations) providing audience teams and community members with working prototypes of AI as a service.
Research and Data Expand formal research collaborations with academia and industry.
Design Research Conduct generative design research to gain more knowledge about our broad set of users and their unmet needs, informing what products to build for users and why. For example: persona research as well as discovering unmet needs and behaviors of users we know.
Design Research Provide the audience team with evaluative / usability research to collaboratively iterate toward high quality products focused on supporting the needs of specific users.

Projects[edit]

We're building a comprehensive list of projects driven by Wikimedia Research. Our work is publicly tracked on Phabricator: check out the following workboards to see what each team is up to:

#research-and-data
#design-research

Our goals are captured on a quarterly basis for each fiscal year (Q1: July-September; Q2: October-December; Q3: January-March; Q4: April-June). An overview of our goals quarter by quarter can be found here. You can filter our workboard for tasks related to each team's goals using these tags:

Research & Data
Design Research
tba

How we use Phabricator: Research & Data

Team[edit]

Research and Data[edit]

Design Research[edit]

Software Engineering[edit]

Research Fellows[edit]

Collaborations[edit]

We collaborate with external researchers in a variety of forms. You can read more on formal collaborations on this page.

Current collaborators[edit]

Name Affiliation Project NDA PoC
Adrian Bielefeldt Dresden University of Technology Y Leila Zia
Michele Catasta EPFL Y Leila Zia
Ciro Cattuto Institute for Scientific Interchange Y Dario Taraborelli
Lucas Dixon Jigsaw N Dario Taraborelli
Anna Filippova Carnegie Mellon University N Dario Taraborelli, Jonathan Morgan
Julius Gonsior Dresden University of Technology Y Leila Zia
Brent Hecht Northwestern University N Aaron Halfaker
Gary Hsieh University of Washington Y Dario Taraborelli
Isaac Johnson Northwestern University Y Aaron Halfaker
Alexander Krause Dresden University of Technology Y Leila Zia
Markus Krötzsch Dresden University of Technology Y Leila Zia
Florian Lemmerich GESIS Y Leila Zia
Jure Leskovec Stanford University Y Leila Zia
Tomáš Masopust Dresden University of Technology N Leila Zia
David McDonald University of Washington Y Dario Taraborelli
André Panisson Institute for Scientific Interchange Y Dario Taraborelli
Daniela Paolotti Institute for Scientific Interchange Y Dario Taraborelli
Tiziano Piccardi EPFL Y Leila Zia
Amir Sarabadani Wikimedia Germany Y Aaron Halfaker
Saiph Savage West Virginia University N Dario Taraborelli
Philipp Singer GESIS Y Leila Zia
Markus Strohmaier GESIS Y Leila Zia
Nithum Thain Jigsaw N Dario Taraborelli
Michele Tizzoni Institute for Scientific Interchange Y Dario Taraborelli
Hannes Voigt Dresden University of Technology N Leila Zia
Morten Warncke-Wang University of Minnesota Y Aaron Halfaker
Robert West EPFL Y Leila Zia
Ellery Wulczyn Google Y Dario Taraborelli

Resources[edit]

  • Our research reports mostly live in the Research namespace on Meta
  • We host every month a showcase where we present publicly our work. We occasionally invite guest speakers involved in Wikimedia research. You can browse past editions of the showcase on this page. The showcase has been running monthly since December 2013.
  • If you're interested in staying on top of both internal and external research on our projects, check out our monthly newsletter (which you can also subscribe to by mail) or follow @WikiResearch on Twitter. The newsletter is mostly volunteer effort coordinated by Tilman and Dario and has been proudly running since April 2011.
  • You can reach us on IRC via the irc:wikimedia-research channel or drop us a line (aripstra@wikimedia.org for Design Research, dario@wikimedia.org for Research & Data and the research group as a whole).

See also[edit]