This. If you follow back a lot of the people who follow you, your follow distribution will reflect a lot of Twitter's overall demographics. The q. of who you interact with is potentially more interesting.
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esp. within certain sub-communities/cultures
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I'm hesitant to trust automated approaches for identifying gender, especially since Twitter handles and names aren't necessarily names. However, you can do parsing on your own and crash it against the Social Security Baby Names data (which I've worked with a lot), but that's
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just going to be at best statistical (x% of babies born between these years with this name were male), and I suspect most of those sites just report the majority gender. For example, I think there were about 25 girls named Brent the year I was born. If you want to play with that
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Thanks. Twitter will use this to make your timeline better. UndoUndo
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