Updates to d8taplex News Stream by Matthew Hurst.
From the post:
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.
Mathew continues his experiments with news streams.
I wonder if media company clusters are related to their advertisers? Or owners? Or is the relationship more subtle? That is the Wall Street Journal clusters are driven more by the self-selection of people who work at the Journal than its support by mainstream financial backers? Not sure how you would even start to tease that apart.