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The data-driven campaign of Obama

Interesting article about how data helps to get a billion dollar in campaign funding and how to spend it the right way. This really makes you think about campaign strategy and future elections.

It was this database that helped steady campaign aides in October’s choppy waters, assuring them that most of the Ohioans in motion were not Obama backers but likely Romney supporters whom Romney had lost because of his September blunders. “We were much calmer than others,” said one of the officials. The polling and voter-contact data were processed and reprocessed nightly to account for every imaginable scenario. “We ran the election 66,000 times every night,” said a senior official, describing the computer simulations the campaign ran to figure out Obama’s odds of winning each swing state. “And every morning we got the spit-out — here are your chances of winning these states. And that is how we allocated resources.”

Inside the Secret World of the Data Crunchers Who Helped Obama Win.

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Analyzed what Twitter votes (graphic)

Based on Twitterpoll by Erik Borra I made this visualization. The animation is created form filtering tweets on content. If someone says he or she voted for Obama or McCain this information is stored and turned into numbers. This creates an election poll based on tweets.

You can say Twitter is pretty much in favor of Obama. To update the results refresh the page.

A point goes to Obama if the regular expression /vote.*?obama/i succeeds, it goes to McCain if the regular expression /vote.*mccain/i succeeds, else it is undecided / unrecognized.

The animations that led to this animation
1. https://www.wilbertbaan.nl/wordpress/2008/11/02/i-voted-storytelling-with-public-databases/
2. https://www.wilbertbaan.nl/wordpress/2008/11/03/we-say-twittertalk/