I agree wholeheartedly with Dharmesh Shah’s assessment of social content sites like Digg. The problem is the content–-it's completely random, and while often interesting, it is NOT particularly relevant to me.
To illustrate, check out the current headlines on Digg:
Stolen Homer Simpson Statue Found
Like I said, these stories are random, interesting, but not particularly relevant to me. The social content sites have responded by creating story categories (e.g., entertainment, technology, sports), BUT they really can’t slice the content narrow enough to solve the relevance problem.
How do you fix this?
One idea is to create a PLATFORM, where users can create social news site pages containing content relevant to any type of vertical market. The content on these pages could be anything from all things labradoodle for labradoodle lovers, Notre Dame Football for Notre Dame fans, a local political candidate for supporters, GTD, even a nucleotide of interest to particular group of researchers. Content within these user created, vertical market sites would be voted upon just like Digg, Reddit, Truemors, thereby incorporating the value of the wisdom of crowds.
There are those out there trying to create this PLATFORM, (e.g., coRank), but I think a MUCH less complex model would be much more viral. I envision a basic site where...
- users can create their own pages using the platform;
- news stories are listed in two basic categories: the latest (the latest submissions), and the greatest (the voted upon results); and
- the site would allow for interaction among users (e.g., comments, chat, forum clouds, meetups)
The content on these sites would be VERY relevant to its users, because unlike the other social content sites out there, you’ve gone one step further and empowered the users to create the categories. This is taking user generated content to another level.
There is a bit of a dilemma here: as you increase focus and thereby increase relevancy, such focus may cause a site to fall below the critical mass of users required to keep it going. This dilemma might be able to be bridged. For example, it may help in such situations for the "latest" stories to auto-propogate with content based upon user defined Google News Alert keywords, and then the voters could take over.
Austin based startup Thoof may be building something that principally meets some of what I've described above. We'll have to wait and see.
If you're a startup trying to build something along these lines I'd love to talk.

