Last night, I scraped the ~800 "data" proposals from the Knight News Challenge and turned them into word soup*. As Mike says: Sorry, science! Still, you get a sense of the themes shared across the proposals.
I'm excited about the contest, and the (realistically, slim) chance that our civil-o-meter proposal will get funded. This is a really nifty time to be working in this area.
If you like the idea holding politicians and newsmakers to a fair and accurate standard for civility, please like us on tumblr, or tweet about us using the #newschallenge hashtag.
*I used python for the scraping and R for the very lightweight NLP. The layout is by wordle.
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