Websites and Gender
August 13, 2008 Leave a comment
I came across this cool site last week, but as I was at the beach (oh so nice), I'm sharing it now. Anyway, it is a site that examines your web browsing history to predict your gender. In keeping with other sites that aren't so sure about me (http://community.sparknotes.com/gender/) this says I am just as likely to be male as female. What's particularly interesting is that it gives the gender ratios of the sites you visit. Here's my results:
Likelihood of you being FEMALE is 50%
Likelihood of you being MALE is 50%
Site | Male-Female Ratio |
google.com | 0.98 |
youtube.com | 1 |
cnn.com | 1.35 |
nytimes.com | 1.13 |
wunderground.com | 1.22 |
washingtonpost.com | 1.15 |
orbitz.com | 0.83 |
snopes.com | 0.74 |
snapfish.com | 0.57 |
walgreens.com | 0.64 |
linkedin.com | 0.94 |
blockbuster.com | 0.83 |
buy.com | 1.44 |
slate.com | 1.11 |
aa.com | 0.83 |
cvs.com | 0.64 |
zillow.com | 1.13 |
salon.com | 1.13 |
ncsu.edu | 0.87 |
autopartswarehouse.com | 1.74 |
pandora.com | 0.9 |
papajohns.com | 0.79 |
indiana.edu | 0.83 |
logitech.com | 1.41 |
advanceautoparts.com | 1.94 |
Basically, looks like sites where you can buy things tend to skew heavily female– thus my on-line shopping pushes my results in that direction. On the other hand, news sites definitely skew male. Good thing I was looking up some auto parts recently, heavily male, or else I would have come out at greater than 50% likelihood female.
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