Thanks for the support, Steven!

We'll be documenting the architecture in a paper we're putting together.

The source isn't currently available, as we're still trying to put together user tests on the system; but I'd be happy to share later. As it stands, it's part of an Apache/Django/PostgreSQL website, so it's hard to release a standalone version of the code that someone else could install. But describing the architecture and providing snippets of source code for those who are interested is certainly doable.

--
Dave

Steven Walling wrote:
On Mon, Jul 30, 2012 at 12:12 PM, Dave Musicant <dmusican@carleton.edu> wrote:
Hi folks -

Our research team at Carleton College has just launched a new tool that recommends Wikipedia articles to edit based on news that you're interested in. Most news sites have Twitter or RSS feeds that update as new articles are published. wikiFeed (our tool) invites editors to put in their preferred news sources' Twitter or RSS feeds - from politics to pop culture, or whatever - and finds the most relevant Wikipedia articles to edit based on that content.

We're trying to conduct a study on the how well wikiFeed works, and would love it if you or students of yours could sign up, try it, and continue using it if they find it useful. Can you pass the word along, and/or try it yourself if you're interested?

Here's our website:

http://wikistudy.mathcs.carleton.edu

Thanks for your help!


--
Dave

This is awesome. Is the source available, or at least some documentation of your architecture?

--
Steven Walling
https://wikimediafoundation.org/





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