I’ve been using twitter for quite a while now. It’s great, not lost interest in it one tiny bit.
I have kind of noticed though, a decent chunk of people’s tweets could quite happily sit into two camps: Things they like or are happy with, and a nice bit of the old vitriolic hatred.
This made me think, wouldn’t it be nice if you could somehow analyze your feed and be able to reflect on it a bit. You’d be able to see if you were happily living in peaceful harmony, or a bit of a miserable wanker.
My first thought on how to put this into action would be to get people to add tags to their tweets. Maybe adding something like ‘@grr:’ or ‘@yey:’ or something like that to each applicable message. Simple, job done. Couple of problems here though. Firstly people will have to remember / bother to do that… and they probably wont. Secondly, once people find out about the idea, it’d take ages for them to start seeing any kind of interesting data. Pretty counter-intuitive.
Then I thought about We Feel Fine. It’s a project that spiders through blogs picking up on different emotions in sentences, then displays them all pretty. You can filter them out, it’s all very cool stuff. On a similar kind of sentence analysis principal, maybe you could write a script that analyzes the twitter feed, then fires back some nice meaningful statistics about it - all interesting and pretty. That way it could look at much more than just whether the messages are positve / negative.
See what you’re like, compare yourself to your pals. Could be really interesting.
Oh, the image at the top, if you didn’t notice, it says love one way up, and hate the other way round :) Clever stuff. Found it on tinternet.