While the New Hampshire primary and Iowa caucuses have passed, there are many more upcoming primaries this year before the general election in November. These primaries represent data collection opportunities for companies to learn more about voters. Marketplace reported:
"One company is tracking voter characteristics through some likely sources — their phones. Dstillery is a big data intelligence company that sells targeted advertising information about consumers to big companies like Microsoft and Comcast. But in the Iowa primary, the company tried its hand at compiling voter traits... people who loved to grill or work on their lawns overwhelmingly voted for Trump in Iowa... people who watched and supported NASCAR also happened to support Donald Trump and Hillary Clinton..."
Dstillery's has an impressive list of clients: AT&T, Cablevision, Comcast, DirecTV, Hulu, Sprint, T-Mobile, Verizon, Vonage, and many more. If you remember your college statistics classes, then you know that a correlation does not man causation. Things may happen together but it doesn't mean one causes the other. Being a NASCAR fan doesn't mean a voter will vote for certain candidates. Voting for certain candidates does not mean you will be a NASCAR fan.
This "big data" collection is also a reminder of how much we consumers share on social networking sites. All a consumer has to do is "Like" a brand (e.g., NASCAR, one of these top-10 barbeque grills, a particular politician, etc.) on Facebook.com, or "Follow" that brand (or politician) on Twitter and it is pretty easy for a big data intelligence company to collect, analyze, and compare voters preferences. (Facebook knows far more about you than you realize.) Even if you didn't "Like" or "Follow" a brand, the data collection is still pretty easy. All a big data intelligence firm has to do is troll through the metadata attached to photos you took with your phone and posted online: racetracks on Instagram, NASCAR cakes on Pinterest, or whatever else. You get the idea. The metadata attached to your photos recorded where and when you were (e.g., geo-location of the racetrack), the background scene (e.g., stands, pits, etc.), and the people (e.g., emblems on their clothes). This blog post explains what happens when you stop "Liking" posts and comments on Facebook.
The data analysis is also pretty easy because many most of you gave your mobile phone numbers to social networking sites so you could use their mobile apps. Both social networking sites and data brokers have two crucial data elements (e.g., your birth date, your phone number) to match, merge, and purge data about you. So, political campaigns (via data brokers and big data intelligence firms they hire) can understand pretty easily who actually voted, and for whom, at a particular voting location.
Is this a good thing? I guess your answer to that depends upon how much privacy you want associated with your voting activity. What you do within the voting booth may be private, but there are many players performing surveillance outside the booth to reveal what you did in the booth. And, if you aren't careful what you say in front of Internet-of-Things devices installed in your home (e.g., toys, smart televisions, smart speakers or search robots, etc.), then the data collection is probably even more extensive.
Is this a good thing?