Signal Patterns Releases Facebook App Matching Personality Traits To Voting Patterns

It’s rare that I’ll hear about a new facebook app, but this one caught my attention. Today, Signal Patterns released a facebook app called Election Patterns which compares your voting preferences with your personality traits, and then compares you with others. From their press release:

The Election Patterns application reveals the personality traits and voting preferences of voters, whether Republican, Democrat or Independent, and shows each voter how they compare to composite groups of other voters. For example, a user’s personality traits could reveal that he or she is actually more like McCain voters and yet the user is voting for Obama or vice versa. Users can also compare their specific personality traits to see if they are similar or different in being realistic, introspective, creative, scrupulous, or astute, just to name a few traits, when compared to Obama and McCain voters, or more general, other Republicans and Democrats.

Interesting stuff. So here’s what it looks like:

Once I filled that out, I got:

Right now, these results are pretty worthless, as none of my friends have signed up. But once a large number of people have signed up and use the app, we’ll be able to see voting data segmented by location, gender, age, etc.

That’ll be interesting.

3 Responses to “Signal Patterns Releases Facebook App Matching Personality Traits To Voting Patterns”

  1. [...] in October, I wrote about Signal Patterns launching a facebook app to match personality traits to voting behavior. Today, they’ve announced the official launch [...]

  2. [...] Launches Publicly Dec.17, 2008 in social media Back in October, I wrote about Signal Patterns launching a facebook app to match personality traits to voting behavior. Today, they’ve announced the official launch [...]

  3. [...] in October, I wrote about Signal Patterns launching a facebook app to match personality traits to voting behavior. Today, they’ve announced the official launch [...]

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