What Twitter Tells Us

I was in the computer lab at work the other day and my coworker was watching a gamecast of a NY Yankees preseason game online.  Now let me tell you, this guy is a Yankees fanatic.  He's the kind of guy who has every player's batting average memorized to three decimal places.  Just to give you an idea, he brought in cake for the entire lab just to celebrate the first day of Spring Training.

Anyway, one of the other guys joked that throughout the season we should remotely hijack his computer at critical moments during the games and kill his browser or play other dastardly pranks.  We quickly started talking about automating this process (we are software engineers, after all), and I had the idea that we should monitor twitter for tweets about the Yankeers and perform a shutdown whenever the buzz reached a certain threshold.  It seemed like it might actually work, and it got me thinking about twitter and what sort of secrets it may hold.

I read an article a little while ago about researchers correlating tweets with the performance of the stock market.  Basically, they would analyze every tweet by parsing it for emotionally charged words, and use this information to determine the overall "mood" of the twitterverse.  They were able to use this mood to predict how the stock market would behave over the next few days with up to 86.7% accuracy.  In an extremely academic twist of invents, instead of using this information to make a lot of money, these researches decided to publish an article about it instead (maybe they aren't so smart after all?).  But regardless, this study shows that twitter is a potential gold mine for statistical analysis.  An individual tweet may only tell you that your friend Steve ate a tuna sandwich for lunch today, not too interesting.  But by analyzing the entire twitterverse you may be able to see that 1,025 people tweeted about tuna sandwiches today, down from 1,443 last month.  Maybe you can use this information to gain some insight into the future of global tuna sales, who knows?

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