Hoi,
This is an interesting avenue. My I suggest one practical side of this?
When you analyse articles and find that some things are missing, it will
help a lot when you can target these articles to the people who are likely
interested. When people interested in soccer learn that a soccer player
died, they are more likely to edit even write an article.
The approach for finding a subject that could do with more attention is one
I applaud. When you want to do this across languages think Wikidata to
define the area of interest for users. It will always include all the
articles in all the languages. As you have seen with the Listeria lists,
showing red links and Wikidata items is trivial.
Thanks,
Gerard
On 17 April 2017 at 02:04, Leila Zia <le...@wikimedia.org> wrote:
> Hi John,
>
> This may be of interest to you:
>
> We are working on building recommendation systems than can help editors
> identify how to expand already existing articles in Wikipedia. This
> includes but is not limited to identifying what sections are missing from
> an article, what citations, what images, infobox information, etc. This is
> research in its early days, if you'd like to follow up with it please visit
> https://meta.wikimedia.org/wiki/Research:Expanding_Wikipedia_stubs_across_
> languages
>
> Best,
> Leila
>
>
> Leila Zia
> Senior Research Scientist
> Wikimedia Foundation
>
> On Sat, Apr 15, 2017 at 2:50 PM, John Erling Blad <jeb...@gmail.com>
> wrote:
>
> > Are anyone doing any work on automated quality assurance of articles? Not
> > the ORES-stuff, that is about creating hints from measured features. I'm
> > thinking about verifying existence and completeness of citations, and
> > structure of logical arguments.
> >
> > John
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