Graph Search's Dirty Promise and the Con of the Facebook "Like"
stevecheney.posterous.com
stevecheney.posterous.com
The same goes for people focusing on getting people to click the big green button on their homepage that says "learn more" which takes them to another page (?!?). The buttons should encourage interaction and progressing that user to use, experience, and depend on your product.
I don't use Facebook much these days except as a way to log in to other web sites. I didn't have a day when I decided that "I hate Facebook", I just drifted away.
My profile is full of all the anime I was watching two years ago. It's pretty thin, and when you consider that it intersects with a population of friends and family I knew 20 years ago, I don't know if anything useful is going to come out if it, at least for me.
Some people might be in a more thickly connected part of the graph and get better results.
A few of the missing items:
-All the dirty stuff you won't show your grandmother. "Watch what you post" is part of raising kids today.
-What you fear. Do you post that you need an abortion or that you might have cancer?
-Gross stuff. Nobody posts that they have hemorrhoids. Or any number of things that you don't want girls you might date to see.
-Things we're ashamed of.
-Things that make us different. If you're a gun-toting neanderthal in SF or a gay man in the bible belt, you might not want everyone on facebook knowing that.
-Things the government will read. Reading revolutionary ideas, means of destruction, might be interesting and educational. However, posting on these topics or having a traceable record of them is a wholly different level. Think about prosecutorial misconduct.
I think FB will have a reasonable degree of success in search. However, it's badly gimped.
And if "friends who like Restaurant X" doesn't turn out to be a reliable way of getting a good restaurant review, people will quickly stop using it. Or they'll send a message to their friend to confirm whether they really recommend the restaurant or they just liked it for a coupon. Eventually they'll figure out which of their friends are reliable reviewers and which just click on every "like" button.
i must diasgree with this line. facebook is not the place that you could search for a specialized query (for example algorithms or scientific data). instead it is a place to search for people, restaurants and other day to day subjects that people tend to talk about in daily chats, and they may share links or write status about them in social networks. yes, maybe number of likes is a bad measure to rank the results, but it definitely is a measure.
There is dirty data in there, but I would suggest the people who like coke to get a token are the kind of people I will happily ignore recommendations from anyway
However in the new graph search world (and indeed before this really) the downside cost was that I am seen as a like-whore trading my affections.
The more facebook becomes real the more the cost of like will increase.
There will be a virtual rate of exchange - as indeed there is today. Some of my friends tell everyone everything, some play their cards close to their chest. I judge their recommendations accordingly. Somehow social graphs need to do the same - and frankly that is pretty easy weighting really.