Mike on Ads has a cool script to infer whether a user is male or female, based on browser history. If you have it analyze your history, it will give you a list of the sites you visited and the corresponding male:female ratio. He got the sites to poll from quantcast, but I can't tell if the demographics came from there as well. The numbers seem to be different when I plug them in, so I'm guessing he either used more/older data than what's currently up, or got it elsewhere.
Here are the ratios for various social media I plugged in, in order from "most male" to "most female":
Site M:F ratio
Digg 1.56
Flickr 1.15
Feedburner 1.11
Worldofwarcraft 1.08
Blogger 1.06
Youtube 1
Last.fm 0.96
Linkedin 0.94
Pandora 0.9
Facebook 0.83
Myspace 0.74
Livejournal 0.68
Twitter and Wikipedia didn't seem to be in the feature set. However, straight form quantcast it seems Twitter's ratio is 0.97 and Wikipedia's is 1.07. Quantcast also lists a ton of other demographic info, which is interesting to look at.
Showing posts with label data sets. Show all posts
Showing posts with label data sets. Show all posts
Thursday, August 7, 2008
Wednesday, January 23, 2008
Metafilter data
Here is a bunch of datasets, dumped from Metafilter. Looks like it could be interesting.
Monday, October 8, 2007
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