Comments on: Here come the tube-steppers http://www.delib.co.uk/dblog/here-come-the-tube-steppers/ Thought and news on e-democracy Thu, 04 Dec 2008 01:00:40 +0000 http://wordpress.org/?v=2.3.2 By: ChrisQ http://www.delib.co.uk/dblog/here-come-the-tube-steppers/#comment-30 ChrisQ Wed, 14 May 2008 17:05:31 +0000 http://www.delib.co.uk/dblog/here-come-the-tube-steppers/#comment-30 Cool - thanks for this Paul. We found the same Yahoo thing + blogged about it on our Citizen Space blog a while back http://www.citizenspace.com/citizenspace/?p=37 We're planning to launch a new permanent Opinion Tracker monitoring the 3 main parties soon, so this should provide better ongoing data to show any correlations that surface . . . Cool - thanks for this Paul. We found the same Yahoo thing + blogged about it on our Citizen Space blog a while back
http://www.citizenspace.com/citizenspace/?p=37

We’re planning to launch a new permanent Opinion Tracker monitoring the 3 main parties soon, so this should provide better ongoing data to show any correlations that surface . . .

]]> By: paul canning http://www.delib.co.uk/dblog/here-come-the-tube-steppers/#comment-29 paul canning Wed, 14 May 2008 16:44:38 +0000 http://www.delib.co.uk/dblog/here-come-the-tube-steppers/#comment-29 there was some work tying online buzz to outcomes in the US primaries. yahoo were pushing it from memory - techpresident would have it. it's obviously not an exact science but there's also definitely something in it if you look more at trends that exact comparisons I think. another good US tool is one which creates clouds of terms in blog posts - the one I've seen parses 'leftleaning' and 'roght-leaning' blogs, which would break up here of course because where would you put the libdems. found an example I posted http://paulcanning.blogspot.com/2008/03/postscript-obama-addresses-race-hear.html there was some work tying online buzz to outcomes in the US primaries. yahoo were pushing it from memory - techpresident would have it.

it’s obviously not an exact science but there’s also definitely something in it if you look more at trends that exact comparisons I think.

another good US tool is one which creates clouds of terms in blog posts - the one I’ve seen parses ‘leftleaning’ and ‘roght-leaning’ blogs, which would break up here of course because where would you put the libdems.

found an example I posted
http://paulcanning.blogspot.com/2008/03/postscript-obama-addresses-race-hear.html

]]>