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 &lt;swalling(a)wikimedia.org <mailto:swalling@wikimedia.org>> wrote: On Mon, Jul 30, 2012 at 12:12 PM, Dave Musicant &lt;dmusican(a)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(a)lists.wikimedia.org <mailto:Wiki-research-l@lists.wikimedia.org> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l _______________________________________________ Wiki-research-l mailing list Wiki-research-l(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l