[Scientific American] BigDataFr recommends: How Hillary’s Campaign is (Almost Certainly) Using Big Data

BigDataFr recommends: How Hillary’s Campaign is (Almost Certainly) Using Big Data

[…] The evidence suggests her campaign is using a highly targeted technique that worked for Obama—but which Trump may not be taking advantage of Analytics will win votes this year. Science, as it did in 2012, is playing an important role for mass voter persuasion in the U.S. presidential race. It’s a numbers game: Predictive analytics targets campaign activities, strengthening a campaign’s army of volunteers by driving its activities more optimally.

Of which presidential candidate do I speak? We have every reason to believe that Hillary Clinton’s campaign is leveraging predictive analytics—as Obama’s did in 2012. Donald Trump’s campaign appears to lag in such efforts.
Hillary for America is leveraging data science in a very particular way. The undertaking predicts each individual voter’s response to campaign contact in order to drive millions of decisions as to which voter receives a knock on the door or a phone call. It’s an innovative, data-driven process that has changed the game for political campaigns. […]

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By Eric Siegel
Source: http://blogs.scientificamerican.com


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