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!
On Mon, Jul 30, 2012 at 12:12 PM, Dave Musicant dmusican@carleton.eduwrote:
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.eduhttp://wikistudy.mathcs.carleton.edu
Thanks for your help!
-- Dave
This is awesome. Is the source available, or at least some documentation of your architecture?
You might want to ask Suggest Bot users to try it out. http://en.wikipedia.org/wiki/Wikipedia:SUGGESTBOT
My suspicion would be that more people will be interested on articles related to topics they cover than ones in sources they can read. But both approaches may have their users, and the experience of SuggestBot would be worth learning from.
WSC
On 30 July 2012 21:00, Steven Walling swalling@wikimedia.org wrote:
On Mon, Jul 30, 2012 at 12:12 PM, Dave Musicant dmusican@carleton.eduwrote:
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.eduhttp://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/
Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Thanks for idea, WSC -- it's a good one.
-- Dave
WereSpielChequers wrote:
You might want to ask Suggest Bot users to try it out. http://en.wikipedia.org/wiki/Wikipedia:SUGGESTBOT
My suspicion would be that more people will be interested on articles related to topics they cover than ones in sources they can read. But both approaches may have their users, and the experience of SuggestBot would be worth learning from.
WSC
On 30 July 2012 21:00, Steven Walling <swalling@wikimedia.org mailto:swalling@wikimedia.org> wrote:
On Mon, Jul 30, 2012 at 12:12 PM, Dave Musicant <dmusican@carleton.edu <mailto: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/ _______________________________________________ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org <mailto:Wiki-research-l@lists.wikimedia.org> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
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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 mailto: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! -- DaveThis is awesome. Is the source available, or at least some documentation of your architecture?
-- Steven Walling https://wikimediafoundation.org/
Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Hi Dave,
Thanks for this --
I was about to tweet about it ("wikiFeed finds the most relevant Wikipedia articles to edit based on an editor's preferred news sources' Twitter or RSS feeds" might be a good summary).
But your website doesn't give any information that would be understandable to somebody just coming in with a link. Any chance of adding something to the login page to make it clear what it does?
Maybe: "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."
Even if you can't add it to the login page, maybe adding it to the register page could work?
-Jodi
On Mon, Jul 30, 2012 at 8:12 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
Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Hi Jodi -
Thanks for the offer to tweet, and for the suggestion! We've added such text on our landing page.
-- Dave
On 7/31/2012 4:24 AM, Jodi Schneider wrote:
Hi Dave,
Thanks for this --
I was about to tweet about it ("wikiFeed finds the most relevant Wikipedia articles to edit based on an editor's preferred news sources' Twitter or RSS feeds" might be a good summary).
But your website doesn't give any information that would be understandable to somebody just coming in with a link. Any chance of adding something to the login page to make it clear what it does?
Maybe: "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."
Even if you can't add it to the login page, maybe adding it to the register page could work?
-Jodi
On Mon, Jul 30, 2012 at 8:12 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
Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
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