The data also separates posts as separated by interests. The most popular word in posts catgorized as being about technology is "phone," and the most-used word in posts about food and drink was "beer" (which, for the record, just barely edged out "food").
The choice of post topics as broken down by male and female freinds falls well within gender stereotypes with men being far more likely to post about sports and technology, and women more likely to post about personal moods or family and friends.
We are all in the Matrix, get used to it
Over the past decade, the public has come to understand how a general mood and opinion can be culled from social media activity as exemplified by the top Twitter trends and YouTube viewing data. As we enter further into the mobile age and begin to carry the Internet around on our face, large meta-analysis of human activity will be easier than ever. The Zeitgeist will be chronicled in real-time and will only be a few clicks away.
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