Listening to Zen-like Wikipedia edits

Posted to Data Art  |  Tags: ,  |  Nathan Yau

It’s easy to think of online activity as a whirlwind of chatter and battles for loudest voice, because, well, a lot of it is that. We saw it just recently with the burst of emojis and what happens in just one second online. But maybe that’s because people tend to present the bits that way. Stephen LaPorte and Mahmoud Hashemi approached it differently in Listen to Wikipedia.

The project is an abstract visualization and sonification of the Wikipedia feed for recent changes, which includes additions, deletions, and new users. Bells, strings, and a rich tone represent the activities, respectively. Unlike other projects that attempt to hit you with an overwhelmed feeling, Listen oddly provides a calm. I left the tab open in the background for half an hour.

Listen is open source.

Favorites

How We Spend Our Money, a Breakdown

We know spending changes when you have more money. Here’s by how much.

Where Bars Outnumber Grocery Stores

A closer look at the age old question of where there are more bars than grocery stores, and vice versa.

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.

Marrying Age

People get married at various ages, but there are definite trends that vary across demographic groups. What do these trends look like?