Hi folks, the use of AllOurIdeas for prioritizing community requests came up in a conversation about the Community Tech wishlist this morning. I realized I'd never followed up on this thread to report the results of the informal poll I set up in March.
As of this morning, nearly 1,000 votes have been cast. This is the full ranked list of ideas that were submitted and evaluated: http://allourideas.org/wikidata/results I copy here the top 10 results and their score*: 1. Wiktionary data 89 2. Use of data on Wikipedia 83 3. Support in-context editing of wikidata content shown on Wikipedia articles so that 'edit-this-page' keeps working seamlessly 75 4. Statistics of re-use of data from Wikidata 72 5. Automatically generated list pages on Wikipedia 64 6. Federation: Re-use of wikidata items and properties on other Wikibase instances. 64 7. Unit conversion 64 8. Wizard-style dialog for entering references 64 9. Tools to monitor the changes in a query 63 10. Automatically suggest references from high quality sources that we as a community have compiled 57 (* "the score of an idea is the estimated chance that it will win against a randomly chosen idea. For example, a score of 100 means the idea is predicted to win every time and a score of 0 means the idea is predicted to lose every time.") The tool is still accepting new votes and new ideas, so I encourage you to check it out if you haven't yet: http://allourideas.org/wikidata Dario On Sat, Mar 12, 2016 at 4:16 PM, Dario Taraborelli < [email protected]> wrote: > Hey all, > > Lydia (or somebody operating the @Wikidata handle :) posted this question > on Twitter and a few great ideas started trickling in > <https://twitter.com/wikidata/status/708384895375163392>. > > I went ahead and created an AllOurIdeas poll <https://t.co/IbsBmY6Kpg>, > seeded with the first ideas posted on Twitter, to crowdsource the > generation of new ideas and produce a robust ranking. > > If you're unfamiliar with AllOurIdeas <http:///>, it's an open > consultation engine allowing people to choose which idea they like best via > pairwise comparisons (I am cc'ing Matt Salganik, the project lead). It's > very simple on the surface but it uses algorithms such as the Condorcet > method <https://en.wikipedia.org/wiki/Condorcet_method> to test how > strongly each idea performs against another, reducing the weighing of the > oldest ideas to create a level playing field for newly created ideas and > preventing gaming or self-promotion of one's own ideas. > > Try it out or post new ideas: the more votes it gets, the higher the > confidence of the ranking. Real-time results and statistics are here > <http://www.allourideas.org/wikidata/results>. > > Dario > > -- *Dario Taraborelli *Head of Research, Wikimedia Foundation wikimediafoundation.org • nitens.org • @readermeter <http://twitter.com/readermeter>
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