Showing posts with label epistemic closure. Show all posts
Showing posts with label epistemic closure. Show all posts

Thursday, June 10, 2010

What's Missing

I believe, but will not attempt to demonstrate here, that the widely used applications on the Internet are great for people looking to encounter information about subjects that they already know they are interested in. Google will generally find us the Wikipedia article for just about any search. This formulation hints at what I think is a big shortcoming in these tools: getting information to a decent depth on any topic is much easier than determining the breadth of topics in which we would want to be interested.

I mean:

  • Pandora Radio will be able to tell you that, if you like Beirut, you will probably like Andrew Bird and Devotchka. If you like Andrew Bird, it will tell you that you'd probably like Beirut and Devotchka, and if you like Devotchka it will tell you that you'd probably like Beirut and Andrew Bird. But you won't easily find out, starting from any of these bands, if you like Faye Wong. How can we find out?
  • There was a lot of discussion on a number of political blogs recently about Epistemic Closure, a term used in this context to describe a conversation that occurs only between individuals who already agree on the topic discussed, and that has the effect of cementing the participants' opinions. This is certainly facilitated by the Internet.
  • It's been argued that America is self-segregating into demographically and ideologically similar clusters (i.e. geographically constrained units in which within-region variation is much lower than between-region variation).


A theme of this blog is the danger associated with too much social learning (too much "received wisdom"), and too little individual learning (including techniques like deriving results from first principles, or from experimentation). Obviously some balance needs to be maintained, and I believe this balance will be different for different subjects, and for different people. One thing I have tried (and am trying) to contribute is a discussion about what this balance should be, under what circumstances. A mathematician probably believes that she needs to understand all the ideas she uses for her own work thoroughly. In my first undergraduate statistics courses, we were taught how to use particular statistical methods, but were taught almost nothing about how or why they work. The mathematician favored individual learning, the statistician (at least at that low level) favored social learning.

In this post, though, I'd like to pose the question: what is the best way to leverage the breadth of communities on the Internet, so that we can discover things in domains in which we haven't shown much interest before? How can we easily discover things that will challenge our beliefs, instead of reinforcing them? If our beliefs are never really challenged, we'll never really know who we are as individuals... Some things are happening in this area already. I have some ideas of my own. I'll try to expand on this later.