Submissions/The Keilana Effect: Visualizing the closing coverage gaps with ORES
This is an accepted submission for Wikimania 2017.
- Submission no. 2119, C7
- Title of the submission
- The Keilana Effect: Visualizing the closing coverage gaps with ORES
- Type of submission
- Language of presentation
- E-mail address
- Country of origin
- Affiliation, if any (organisation, company etc.)
- Wikimedia Foundation (Wikimedia Research)
- Personal homepage or blog
- Abstract (up to 300 words to describe your proposal)
Since it's inception, Quality has been the most prominent concern about the future of Wikipedia. After all, how can high quality information artifacts be produced when there's literally no restriction on who is allowed to contribute? Over the past 12 years (as of 2017), the research literature around Wikipedia has advanced our understanding of the open encyclopedia's quality and the processes by which crowds of volunteers can manage such an information artifact.
Our first major leap in understanding of Wikipedia's quality dynamics happened around the time that Jim Gilles published a report in nature (2005) that surprised the world. This seminal report showed that Wikipedia's coverage of scientific content compared favorably (and in some ways, better!) that the more dominant encyclopedias that were used. Since that surprising result, researchers have been pushing toward greater understanding of how open, volunteer processes could have lead to this point.
While we do know a lot about quality dynamics in Wikipedia, there are still many questions that remain. Where are Wikipedia's coverage gaps? What types of editing patterns lead to efficient quality improvements? These questions are important for the science and for the practice of Wikipedians.
In this presentation, we'll demonstrate a novel article quality measurement strategy enabled by mw:ORES and show how it highlights the massive effect of en:Wikipedia:WikiProject women scientists on closing a critical coverage gap in Wikipedia. We'll also show how WikiProject Medicine is using the ORES article quality models to support article re-assessment work and WikiEd is using the same quality models to help students contribute effectively to Wikipedia.
This isn't just for English Wikipedia. We have article quality models for French and Russian Wikipedia. We're actively working on extending support to Portuguese Wikipedia, Spanish Wikipedia and Wikidata.
- What will attendees take away from this session?
- A more nuanced understanding of the effectiveness of Keilana's efforts WRT coverage of Women Scientists
- A measurement strategy for observing gaps and how the gaps are closed
- A novel way of evaluating the effects of outreach activities -- specifically grants for edit-a-thons
- Theme of presentation
- WikiCulture & Community
- Length of session
- 25 minutes
- Will you attend Wikimania if your submission is not accepted?
- Slides or further information (optional)
- Special requests
- Is this Submission a Draft or Final?
This is a Completed submission for Wikimania 2017 ready to be reviewed by a member of the Programme Committee.
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- Smallbones (talk) 20:02, 7 April 2017 (UTC)
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- Amir É. Aharoni (talk) 09:40, 9 April 2017 (UTC)
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- Jorid Martinsen (WMNO) (talk) 09:25, 28 June 2017 (UTC)
- Mkdw (talk) 04:03, 10 August 2017 (UTC)