Whilst having a little look around for sites that explore the "mood of the web" last night, I came across MoodViews, "a collection of tools for tracking the stream of mood-annotated text made available by LiveJournal."
I'm not a LiveJournal user, but it seems that when you post to LiveJournal, you can associate a mood icon with it - LiveJournal Moods - Mood Theme Previews.
The MoodViews app aggregates this information to produce a mood of the web report. Some of the 'moods' show periodicity:
Some anticipate forthcoming events:
It's also worth noting that Google Trends in search terms also reveal similar dynamic features - when do you think people search for toys for example, or equinox?
The MoodSignals service is partuicularly interesting - large changes in mood can be seen to correspond to particular events.
It'd be interesting to see how well these Mood Signals correlate to particular events as signalled by changes in particular Google searches using Google trends?
Unfortunately, I don't think either service offers an API at the moment?
PS what I meant to mention in this post was how the MoodView scanning approach could be extended out from Live Journal to other status services, like Facebook or Twitter. Prompted buy: Andy Powell commenting on using Twitter to update Facebook status entries - Andy is...
Posted by ajh59 at October 12, 2007 06:41 PM