« Billy Bob Thornton vs. the Studio | Main | My XO Laptop Arrives - Finally! »
March 12, 2008
Get My Vote: NPR's User-Generated Political Commentary Initiative
Eighteen months ago this week, I started working at NPR as senior product manager for online communities. I've spent a lot of that time working with shows on social media experiments and educating NPR staff about the role Web 2.0 can play in journalism. But I've also spent much of the last year working on a big project - one that would have NPR dive head-first into user-generated content. The project is called Get My Vote, and we've just launched a public beta of the website.

As the name suggests, the project is based around a basic premise: what will it take for political candidates to get my vote? Every person has their own reasons for selecting a particular candidate, their own litmus tests, and we're asking the public to articulate this in the form of open letters to the candidates. Using Get My Vote, you can upload your own commentary - audio, video or text - and talk about what issues or concerns will drive you to the ballot box. NPR is then planning to incorporate these commentaries into our shows throughout the rest of the election cycle.
We've also designed the project in such a way that local stations - both NPR and PBS stations - can create their own Get My Vote initiatives on their websites by embedding Get My Vote widgets. That way, a station can localize the project. A station in Arizona, for example, might create a local version of Get My Vote focusing on immigration perspectives, while a station in Massachusetts might challenge users talk about what it would take for local mayoral candidates to get their vote. So while most users might end up talking about the presidential candidates, I'm hoping it's used for state and local races as well.
On the Get My Vote homepage, you'll see that we're using a tag cloud prominently. These tags are submitted by users when they upload their commentaries. For example, a commentary from an Iraq war vet about healthcare for vets might include tags like "Iraq," "healthcare" and "Walter Reed." The more often a particular tag is used by commentators, the larger it appears in the tag cloud. That way, you can get a sense of what topics and ideas are being referenced most often by commentators. Clicking any tag also will show you all commentaries associated with that word or phrase.
We've also ensured that the commentaries are embeddable on other websites and social networks - a first for an NPR project. There's an embed code available for commentaries that you can grab and place in your website. You can also click an option to post on another blog or network, giving you a list of more than 20 sites where you can upload your own Get My Vote commentary, or someone else's. For example, here's a video featuring Texas musician and author Kinky Friedman talking about the death penalty:
Speaking of Kinky, you'll notice that some of the videos in the site have been produced by NPR staff. That's mainly because we didn't want to launch a site that was devoid of any commentaries, so we put together a few just to get things going. Soon enough, I expect the number of user-generated commentaries to far surpass the numbers of commentaries we've produced for the site.
The site is now in public beta. This means that anyone can now access the site, upload their own commentaries and explore the site in general, but we're still working out a few bugs and other minor fixes. We're hoping that if you have any problems with the site you'll alert us through the contact form. Over the next few weeks we'll continue to tweak the site, and soon after that, we expect some of our shows to begin using it on air.
So when you get a chance, please visit npr.org/getmyvote, upload your own commentary and please let us know what you think. Our team is really eager to hear what you have to say. -andy
Tags: commentaries | election 2008 | Get My Vote | NPR | open letters | politics | UGC | user generated content
Posted by acarvin at March 12, 2008 9:51 AM
Listen to a computer-generated podcast of this article
