I've made some updates to the news stream experiment on d8taplex. The page now displays a stream of news articles with clusters of related articles being shown with emboldened titles. Each article also shows the number of clicks tracked by bit.ly. The bit.ly data is coloured according to how hot it is (red represents the most clicked articles, orange represents 'warm' stories and gray represents stories that haven't yet received any significant attention).
With two view of news (the clusters represent what the media companies are interested in and the bit.ly data represents what the weberati are interested in) the stream provides a slightly different overview of the news cycle. One can find clusters for which there is no significant bit.ly data, yet also find stories that are getting a lot of clicks but which don't belong to any clusters. In addition, as each story is annotated with the source (CNN, BBC, etc.) you can also find clusters generated by only one source.
Here's a cluster showing a number of articles as well as a few with significant bit.ly attention:
Note that to expose the additional information for a story - including the clustered stories - you simply need to hover the pointer on the appropriate annotation (Q = quotes, C = countries, G = group / cluster). In addition, if you click on the G it will pin the cluster open for further interaction.
Dynamic filtering is still available (just type in the filter box), and keywords from the selected articles will be populated in the keyword area.
this has been very informative, thanks for sharing
http://sevenit.com/Converge-Communications.php
Posted by: Peter Jakab | January 19, 2012 at 02:23 AM