Global
Twitter Heartbeat reflects the location of sentiments that are sent out via
Twitter during two specific timeframes: the 2012 US Presidential Election and
the aftermath of Hurricane Sandy. While the project is not the first to offer a
map of what we are doing in the “Twitterverse” at any given point in time, it
is the first visualization that combines population, color tone, and geographic
analytics to create an animated heat map. Researchers Kalev H. Leetaru and
Shaowen Wang based at the University of Illinois use the SGI UV 2000 Big Brain
supercomputer at to power the project. According to a press release from SGI in
Hamburg, Germany on June 18, 2012, “the new design creates a level of
accessibility to large coherent memory systems for researchers while enabling
users to find answers to the world’s most difficult problems on a system as
easy to administer as a workstation.”
During
the Hurricane Sandy Tweetbeat, the colors on the map are representative of the
way Twitter users were feeling, according to the tweets that were posted. The
color red was representative of a more negative sentiment, whereas the color
blue represented of a more positive sentiment. Every tweet is therefore
analyzed to assign location in the processing of the text itself. In the case
of the presidential election however, blue represented pro-Barack Obama tweets
and red for pro-Mitt Romney tweets. In a video that captures the election
through Tweetbeat it must be recognized how much blue appears on the US map
when Obama gives his victory speech. It is apparent that these maps are not
telling us anything that we didn’t know (Obama won the election and people were
concerned about Sandy…so what?). What then is the point of this project then,
when “the world’s largest data-mining machine” can be doing other productive
projects like “ingesting the entire contents of the U.S. Library of Congress
print collection in less than three seconds?”
This
new technology allows for us to peer into the heartbeat of our society that
revolves around social media and sharing. With this new “telescope,” it is
expected that it will be used for other informational needs, especially
advertising. With the ability to collect a general consensus on most topics on
Twitter, we will not only have access to our own country’s ideas, but others as
well. The development of Twitter was initially intended for media users to
“follow” everything from news to specific individuals who are found to be the
most compelling and interesting. It later grew to become a way of advertising
and promoting for businesses towards their followers. One can see photos,
videos, and full on conversations and is thus exposed to news within seconds.
With just a simple Tweet, millions of people are notified when a major event
has occurred in one area of the country, however it is a lot more personal than
hearing it from the news. The Global Twitter Heartbeat project demonstrated how
scientists, and eventually marketers, can use high performance computers to
track real-time unstructured data.
Popkin, Helen. "Supercomputer Uses Twitter to Tell How
You're Feeling." Technology on
NBCNews.com. NBC News, n.d. Web. 25 Jan. 2013.
<http://www.nbcnews.com/technology/technolog/supercomputer-uses-twitter-tell-how-youre-feeling-1C7073314>.
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