Although Big Data has existed for quite some time now, I
still believe many industries are missing out on the benefits of appropriately
storing, and analyzing this data. Both the private sector and governments can
benefit from examining their large data sets in order to expand into other
markets, make more accurate decisions, and to formulate better business models.
For instance, most retailers would be able to further analyze what products are
succeeding financially, what locations prefer certain merchandise, and what
markets have shown the most growth all by studying their vast transaction
histories. Additionally, Big Data can also improve a population’s well being if
implemented in the medical industry, which already has a countless number of
records to begin with. It would significantly help in making more accurate
diagnoses, and it would even allow the ability to see if new diseases are on
the rise, as well as being able to easier track down their sources. One area
where the use of data analytics has been barely ever used is in politics. Probably
the most sophisticated use of Big Data in politics was President Obama’s 2012
Presidential Election.
For the 2012 Presidential Election, President Obama decided to
create a campaign that was largely data driven in hopes to create a better
marketing strategy that would ultimately target citizens who they predicted to
by highly persuadable. With the help of data scientist Rayid Ghani, Obama’s
campaign relied on machine learning techniques to pinpoint issues citizens wanted to see
fixed, and locations containing large amounts of undecided voters. By doing
this, the campaign staff was able to utilize its resources and time more
efficiently by establishing their target audiences, creating related
advertisements focusing on key issues, and holding events in locations with
easily persuadable citizens. While working for the campaign, “Ghani helped
build statistical models that assessed each voter along five axes; support for
the president; susceptibility to being persuaded to support the president;
willingness to donate money; willingness to volunteer; and likelihood of
casting a vote. These models allowed the campaign to target door knocks, phone
calls, TV spots, and online ads to where they were most likely to benefit
Obama.” (Source)
Although this now makes it seem as if the president was a marketable brand of
some common product, the “Obama campaign folks dismiss the idea that they were
using data to sell the president like soda pop by burrowing into our brains
with targeted appeals. In campaign politics, they say the power of data is in
making the most of resources whether ad dollars or volunteer enthusiasm.” (Source)
In my own personal opinion, I still don’t see the difference between the goals
of an election campaign and Coca-Cola trying to sell a new product, but what I’m
glad Obama’s campaign staff noted is the immense power of data. The use of data
analytics in this particular field only proves that in almost any circumstance,
the use of Big Data can by the driving force for a company, or some interest
group in achieving their goals. Now that the world is continuing to invent
better ways to store, and analyze large data sets, I think it would only be
natural to see Big Data eventually find its way into our everyday lives.
Although I’m glad an election campaign decided to take a
more modern approach to achieving a victory, I’m still uncertain how I feel
about these methods being implemented in politics. I’m not criticizing the
technology or implementation of these methods, but there are some aspects of a
political figure using these methods that still bother me. On one hand, I’m
glad that president Obama’s staff used data mining techniques to allow public
opinion mold their campaign strategy. It shows us that they do care about the
public opinion, and they are focused on solving the problems people want to see
fixed. On the other hand, what if this all comes back to the stereotype that a
politician will only tell you what you want to hear? Perhaps I would prefer it
more if before being elected, the president would lay it to me straight, but as
I think more about it, I believe this type of method is becoming outdated. Public
interest, and society in general is changing constantly, and I think it would be
illogical to not adapt to it if given the right data sets. By using different
machine learning techniques, politicians would be able to define more clearly
what issues need addressing, which might go unnoticed to the naked eye. Without a doubt, it’s no easy task to map and
predict an entire country’s interests an ideologies, but I still believe the
truth lies in the data, and I believe for this situation, as well as many
others, Big Data can truly offer a method to the madness.
While I agree that using big data to target the voters and issues that would garner the most votes, did any of your research/readings show that they actively avoided certain because of how fractured the populace was over them. There are some very polarizing issues that no politician seems to want to go near out of fear that they will loose support of their constituents and send the undecided running to their opponent.
ReplyDeleteI would not be surprised if they used their data to not only choose the topics they would focus on, but also decide which hot topics they could safely ignore without suffering backlash for doing nothing.
What you are saying is definitely true. I found that President Obama's campaign model was built buy the data they analyzed by pinpointing what topics he could focus on easily, and what topics he should stay away from completely. It's another reason why I'm still slightly skeptical about using Big Data in politics, but I'd say that every politician does the same thing already. By Obama using data analytics, though, he is just able to do it a little better.
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