I've written before about why i think the purely automated collective voting systems like digg are inherently flawed in the sense that they are inevitably abused and in the sense that voting patterns become less about voting for relevant links and more about voting for catchy headlines [see some posts of mine [url=http://www.donationcoder.com/forum/index.php?topic=5139.0]here[/url]].
Today emily chang writes about a new web service like digg which has a critical differences -- votes are used simply to determine when a threshold is reached for a human editor (domain expert) should actually review the item and post about it.
It doesn't address all of my concerns (the voting is still susceptible to information cascased, etc.) but the use of domain expert editors is a great step forward..
from http://www.emilychang.com/go/ehub
Today emily chang writes about a new web service like digg which has a critical differences -- votes are used simply to determine when a threshold is reached for a human editor (domain expert) should actually review the item and post about it.
It doesn't address all of my concerns (the voting is still susceptible to information cascased, etc.) but the use of domain expert editors is a great step forward..
Quote
Utilises "collective intelligence"
Anyone can recommend a Dfinitive site, and once a site has been given 100 recommendations it is then reviewed by a human editor.
Edited by humans to ensure quality
Some bookmarking sites are open to spamming and the categorisation can be confusing, so we use human editors to ensure quality and to help organise the sites
Endorsed by Experts in each category
Experts from each field are used as the final double check to ensure that only the very best site actually get listed in Dfinitive
from http://www.emilychang.com/go/ehub









