How much wisdom is there in Digg?
I'm in the middle of The Wisdom of Crowds so I found this story about alleged Digg stylesheet thief Steve Mallett, and subsequent follow-ups, quite interesting. Nat Torkington summed up the story well on O'Reilly Radar:
The main claim of stealing CSS was superficially true, but substantially false.
In the meantime, of course, there's a small matter of hundreds of thousands of readers and thousands of active voters voting up the article about how "O'Reilly writer Steve Mallett" is a thief and a spammer. Only if you took the time to read through the hundreds of comments do you get to intrepid readers who tracked the copying back through Pligg (kudos to Digg reader caldroun, who was the first to identify pligg). But it was obvious by the rapidly-increasing Digg count that nobody was doing research (or even reading to see whether the claim had been refuted), they were simply indicating their condemnation of someone who had transgressed against the Digg community.
At the end of the post, Nat concludes:
This is a classic Web 2.0 problem: it's hard to aggregate the wisdom of the crowd without aggregating their madness as well.
Actually, this seems a lot like an information cascade (aka "bandwagon effect"), which happens when people start imitating others' choices rather than making their own. There's nothing particularly Web 2.0 about an information cascade--it happens in the media and markets--except that the web is an efficient way of aggregating choices quickly. (Digg especially, since it only has one "vote" value, and it's positive. Update: Sorry, I pulled the trigger on this too quickly. Digg has multiple ways to vote down a story, but only one way to vote up. Still, the emphasis is on "digging.")
Which makes me wonder: how much "wisdom" is there in Digg? Are other popular links just a result of "me too" voting? And how would you know?
And considering the web is now an exposure economy, how would you design a system where popularity is a better reflection of quality? What if you gave each user a dollar to bet for or against certain stories each day (and then paid the winners)? I don't know exactly, but there has to be a way of injecting crowd wisdom into an editorial system that's better than a simple "Digg it."

