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Richard MacManus writes about one of his frustrations with Digg – poorly created links that don’t give do a story justice. Once a particular link is added to Digg, there is no way for the submitter or anyone else to edit and improve it.Sometimes this is done negligently or in a desire to post first; sometimes it is done maliciously to effectively block a story on Digg. Either way, it is an increasingly annoying problem for Digg users, and one that should be addressed. Too often, Digg’s data is crap.
Richard suggests giving some or all users the ability to edit links. He says he’s calling for editors, but not to pick stories. Rather, just to clean up existing stories to make them more accurate.
I like the idea a lot, and it’s something I’ve seen with a few other startups. Thoof, for example, which we wrote about last month, allows users to change any story in a wiki-like fashion. Changes are then voted on by the community to see if they stick or not.
Whether its power users, hired editors or the community at large, something should be done to fix the incentives for people to submit bad data to Digg. Good idea. Richard.
Though not IM related, this is pretty interesting. Digg tends to be getting worse and worse lately, whether it is just because being on the site for so long enables one to “see” when a story was just crafted to make digg, or bad content in general, something needs to be done.
Digg is boring me. Most of the links are uninteresting. While the idea of people-driven content is great, the reality is tainted by the people trying to game the system. Even authors do this, writing “top ten” lists that are often considered Digg-bait.
While I have a Digg feed in my Netvibes page, I don’t routinely visit Digg, and certainly not for real news. For now, true editorial work trumps Digg’s model.
I think for people-driven content to work, there has to be something completely brainless about the process. Right now, people have to 1) submit the stories and 2) digg them. If Kevin Rose and company could find a way to automatically harvest the best stories, or to automatically promote stories based on some transparent behavior on the part of it’s readers, then the model could work well.
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