New York Times R&D Lab explores how news is shared and read with Project Cascade

Apr 25, 2011

For online publications, it’s useful to know how people share links to articles and news via outlets such as Twitter. How does an article go from publication to viral? Does one person with a lot of Twitter followers share a link, or is getting lots of individuals to tweet the key? You have retweet counts, but that doesn’t tell you anything within the sharing timeline—just the final result.

Project Cascade, by Jer Thorp, Mark Hansen, and Jake Porway as parts of the New York Times R&D Lab, helps you see how news spreads.

This first-of-its-kind tool links browsing behavior on a site to sharing activity to construct a detailed picture of how information propagates through the social media space. While initially applied to New York Times stories and information, the tool and its underlying logic may be applied to any publisher or brand interested in understanding how its messages are shared.

I suggest you watch the short summary video for an explanation on how it all works, but in short, there are several views that let you view the data in a variety of dimensions.

In the initial circular view, time starts in the center. This is when an article is actually published. Then each ring is another hour past, and each square is an activity such as link shortening or retweeting. For example, in the above the op-ed article America Goes Dark by Paul Krugman goes live. You should see a trickle of link-sharing in the beginning, but about five hours later, Tim O’Reilly tweets a link to his 1.4 million followers, and there’s a burst of activity as others retweet and comment.

Similarly, here is one view for an article on the JetBlue flight attendant who threw a hissy fit, and slide down an emergency slide. When you lay the circles flat, and look at activity on the vertical, you can see volume by time.

Or look at the data straight on for a strictly by-time view.

Impressive work, and this is just a small taste. I suspect there’s lot more, and as Jer notes, “Videos and screenshots don’t do Project Cascade justice – it runs on an iPhone-controlled 5 screen video wall.” I gotta get me one of those.

[Project Cascade via Nieman Journalism Lab]

1 Comment


Top Brewery Road Trip, Routed Algorithmically

There are a lot of great craft breweries in the United States, but there is only so much time. This is the computed best way to get to the top rated breweries and how to maximize the beer tasting experience. Every journey begins with a single sip.

The Changing American Diet

See what we ate on an average day, for the past several decades.

Think Like a Statistician – Without the Math

I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when working/playing with data.

Graphical perception – learn the fundamentals first

Before you dive into the advanced stuff – like just about everything in your life – you have to learn the fundamentals before you know when you can break the rules.