Harvesting collective intellegence
Here is a post with five good methods for using the web to harvest collective intellegence. These may seem geeky to some but they are excellent source materials, and they have their correlates in the analog world:
1) Be The Hub of A Hard To Recreate Data Source – This is a classic Web 2.0 concept and success here often devolves to being the first entry with an above average implementation. Examples include Wikipedia, eBay, and others which are almost entirely the sum of the content their users contribute. And far from being a market short on remaining space, it’s lack of imagination that’s often the limiting factor for new players. There is so much more terrific software like digg and del.icio.us waiting to be created. So don’t wait until it’s perfect, get your collective intelligence technique out there that creates a user base virtually on its own from the innate usefulness of its data. Just be careful and avoid crowded niches, like peer production news.
2) Seek Collective Intelligence Out – This is the Google approach. There is an endless supply of existing information waiting out there on the Web to be analyzed, derived, and leveraged. In other words, you can be smart and use what already exists instead of waiting for it to be contributed. For example, Google uses hyperlink analysis to determine the relevance of a given page and builds its own database of content which it then shares through its search engine. Not only does this approach completely avoid a dependency on the ongoing kindness of strangers it also lets you build a very big content base from the outset. This ultimately has interesting intellectual property implications, as I’ve discussed before.
3) Trigger Large-Scale Network Effects – This is what Katrinalist and CivicSpace did and many others have done. This is arguably harder to do than either of the methods above but it can be great in the right circumstance. With one billion connected users on the Web, the potential network effects are theoretically almost limitless. Smaller examples can be found in things like the Million Dollar Pixel Page. That’s not to say that network effects don’t cut both ways and are probably not very repeatable, but when they happen, they can happen big.
4) Provide A Folksonomy – Self-organization by your users can be a potent force to allow the content on your site or social software to be used in a way that more befits your community. It’s the law of unintended uses again, something Web 2.0 design patterns strongly encourage. Allow users to tag the data they contribute or find and then make those tags available to others so they can discover and access things in dynamically evolving categorization schemes. Use real-time feedback to display tag clouds of the most popular tags and data; you’ll be amazed at how much better your software works. It worked for Flickr and del.icio.us and it’ll probably work for you too.
