Thanks to the “miracle” of social media, we are constantly pumping information into the datasphere, much of it personal in nature. One clever fella, Scott Golder, a graduate student from the Social Dynamics Lab at Cornell, has taken some of that information and put it to interesting use.
Golder culled Twitter data, and created a database of what people are tweeting about and when they are tweeting. It’s pretty interesting.
The conversation about “beer” really gets kick-started every day at around 3pm and slowly rises throughout the week, peaking on Friday afternoon (can you say happy hour?).
The term “drunk” is tweeted most often after midnight, again with more frequency on the weekend, hitting critical mass at 2am on Sunday morning. No shock there.
And Don will be happy to know the term “bear” enjoys around the clock popularity.
It’s kind of fun to play with the data, as you can enter any term you’d like and see the data in multiple ways. You can find the interface here. Have at it.
It’s kind of scary to see how everything we share online is trackable, measurable and will eventually be used to get inside of our heads and manipulate us all. This could either lead to the end of true human freedom, or just really, really good porn.
It’s a coin toss really.