There is a good article on Wired News about the different approaches being taken by Web 2.0 news sites like Digg and Tailrank to solve the information overload problem. With the explosion of blogs, its gotten harder to wade through the hay to find the needle. These sites attempt to find the most popular stories on the Internet at any given time, delivering readers a sort of cliff notes version of what’s hot on the web. Sites like Digg rely on a community of people to identify the hot stories while sites like Tailrank use technology to find the the most talked about nuggets. The article provides a good overview of this growing field.

For those who want to explore, here’s a list of the sites either mentioned in the article or that I’ve bookmarked. I’ve made quick notes by the ones I’d endorse.

• Annotated New York Times
• Blogniscient
• Chuquet
• Digg (Most popular voting based system)
  
• Google News
• Megite
• Memeorandum (Industry leader in the computer based aggregation field)
• Newsvine (Best designed and most accessible of the bunch)
• Reddit
• Tailrank (My favorite due to growing feature list, comparatively attractive design)
  
• Topix

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