Exploring Political Bias with the Bitly Media Map

Here, Kris Harbold explores the Bitly Real-Time Media Map, an interactive data visualization that illustrates media consumption across the United States. By using the tools of data science to analyze the source and format of media links being shared, this map attempts to pinpoint correlations between the political affiliation of readers and the news they consume.

The Scary Side of Big Data

Think ghosts are scary? Think again. Just in time for Halloween, we’ve got a horror story that will chill you to the bone: big data breaches. What’s the harm in someone else taking a peek at your data, you might ask? Inherently, this wouldn’t raise an issue, but nine times out of ten, breaches are criminal in nature, launched with malicious intent — and these attacks can cause serious harm.

Nicholas Christakis: How Social Networks Predict Epidemics

Nicholas Christakis’ 2010 TED Talk explores what he calls “computational social science,” incorporating the idea that epidemics spread through social networks. He has worked with mapping processes, data collection and analyses, which allow us to understand social processes and phenomena in a way that simply wasn’t possible before.

Take Me Out to the Ballgame: the Growing Role of Data on the Fan Side of Baseball

In part one of this guest series, Andy Brooks, one of our own instructors, explores the growing role of data on the fan side of baseball. He shows how Major League Baseball teams first began to gather data from ballgame attendees with the advent of electronic ticketing, and have since used the findings to monetize the game and create lifelong, die-hard fans.

Data, Peanuts, and Crackerjacks: Getting Baseball Fans to Come Back

In part two of guest author Andy Brooks’ blog series, he explores Major League Baseball’s expansion into social media and the international market, and explains why baseball provides the perfect testing ground for data science

Jonathan Harris: The Web’s Secret Stories

Jonathan Harris’ 2007 TED Talk details his use of “passive observation,” a technique that scans blog posts for terms like “I feel” or “I am feeling,” and then catalogs these emotions in reference to the blogs that generate them. He believes that the key to this method’s success is that people are much more honest and open with their emotions on the web.