For the Data Journalism assignment, I put my search for Luckiest Town in Massachusetts on hold and trained my sights on a more interesting story:
For weeks, the only Trayvon Martin coverage I saw was on Twitter, where every progressive I knew had shared a link to the Change.org petition. Eventually, I saw more media attention around the story. This led me to form a hypothesis that people talking about the story online, and specifically, linking to the Change.org petition, kept the story alive long enough for the national media to pick up on it.
I looked into all of the data I could find, including some provided by Change.org, and found out that my hypothesis was incorrect. But the story of how Trayvon Martin became national news, weeks after his death, is still a revealing portrait of our media.
Matt.. I love this Graphic http://numeroteca.org/wp-content/uploads/2012/04/trayvon-march-3.png . You must teach me how to make them.
You found the only nice looking graphic! Which, of course, was done by Pablo Rey (@numeroteca). I’d be happy to introduce you, but check out the rest of numeroteca.org, too!
Matt, I hope you’ll talk at some length about this piece in class. It’s a great study of the power and limits of using statistics to explain this sort of story. I’m particularly gratified that you began with a thesis and managed to disprove it to yourself in the course of your investigations. Some great stuff in here, and some questions about how to tighten the data analysis into one or two killer graphics.