I used the service Tweetbackup (http://tweetbackup.com) to generate a CSV file of recent tweets which I then categorised manually in MS excel. It pulled off the past 837 and I've used the past 500 as my sample. These 500 were tweeted over a 2 week period between 21st April and 5th May.
My self-defined categories of tweets are as follows
Computing 111 (Including social media, hardware, gadgets)
Humour 94
Pharmacy 73 (Including medical and other professions aligned to pharmacy)
Media 63 (Music, movies, TV, newspapers and other "old media")
Politics 50
Interaction 48 (Tweets purely about interacting with other users)
Life 26 (Tweets purely about what I'm doing now)
Work 17 (My day job)
Spectacle 10 (Photos etc that made me go wow)
Running 8
Now obviously, there's certain events that bias my results, this period covered the UK local elections 2012 and the London Marathon, so there's perhaps more about these than normal; and I wasn't running due to illness so there's less about that than normal. This is to be expected in a reactive social media like twitter - I post to react and reflect on what's happening and what I'm seeing.
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