<![CDATA[Pete Cashmore writes Humans vs Algorithms: Who Should Edit Web 2.0?:
As you may already know, my feeling is that humans are generally better at editing than algorithms, but by the same token you could say that the main algorithms in use today (Google PageRank, Memeorandum, Google News) are largely based on human decisions, where a link generally counts as a vote. At the other end of the spectrum, you have sites like Digg and Reddit, which are entirely edited by humans in a distributed way.
But I’m not sure if it’s really a case of humans versus algorithms: I think the future could lie with services like Wink, where Google’s search results are rated, tagged and built upon by human minds. In this way, humans could make up for the obvious failings of algorithms – namely the scourge of spam and splogs.
What do you think: who should edit Web 2.0?
The answer is people will edit Web 2.0. People program robots and people make editorial decisions, so in both cases people are doing the editing. The process of editorial decision-making is what is changing and that’s where the dross created by robots and the other option that Pete discusses in his posting, OPML, threaten to overwhelm the solid decisions of people about information.
I’ve been particularly impressed with the Taskable OPML browser I’m running on my lonely PC, which lets me scroll through many people’s view of the Web in simple hierarchical form—but the problem I foresee is that old hierarchies and aging views are going to overwhelm the value of people actively involved with information through OPML. The work of the Attention Trust, which captures what information people are actually using needs to be integrated with the OPML effort to generate more dynamic views of information. And, at the same time, we need a view of the evolving link relationships around information, which is what we’re working on at Persuadio (we’re working on the updated MyDensity conversational clouds, but that public work has been overwhelmed by client work), to tell more about how influence shapes information access and use.