Showing posts with label sociology of information. Show all posts
Showing posts with label sociology of information. Show all posts

Tuesday, September 9, 2008

The CONSEQUENTIALIST View of Information

Most of what I'm writing about under the banner "sociology of information" focuses on the relational and symbolic value of information and information transition in distinction to its instrumental, consequential, or material value. For the latter, the "value" of information derives from the benefits one can acquire (or costs one can avoid) by having the information. Analytically, that's to distinguish what I'm doing from information economics -- my basic point is that there is a component of human information behavior that can't be reduced to material consequences without a loss of explanatory power.

An example of the instrumental value of information showed up in the paper today (NYT "A Mistaken News Report Hurts United"); apparently, a false news flash that United Airlines had filed again for bankruptcy sent it's stock price tumbling.

This is the instrumentalist or consequentialist side of information because the value comes in the form "if I had known it was false I would not have sold my stock" or "if I had known then I could have made a killing." We think of the import of the information here in terms of what we could have done differently had we known. Contrast this with the "Madmen" character Betty pointing out to her husband that she expected to be called about his accident whether or not she could do anything about it because that's the kind of information that spouses share with one another immediately.

Monday, September 8, 2008

Relational Notification Norms on "Mad Men"

I joked that I wanted a footnote while watching a recent episode ("The New Girl" season 2 episode 5) of the TV show "Mad Men." A scene between Don and Betty Draper was almost verbatim from the first page of the book I'm currently working on (working title Notification and the Information Order).

Don's just come home around dawn after having a car accident while carousing with a client's wife. Betty, his wife, has apparently been awake all night wondering where he was and that's her first question when he comes into the bedroom. "I was in an accident," he explains. Then there's a back and forth where she says "why didn't you call me?" and he says he did not want to worry/wake her and so on. She says, basically, "I'm your wife, you idiot -- when this sort of thing happens, you call, it doesn't matter what time it is." She then adds that it doesn't matter whether or not she could do anything about it, spouses call, period, the end. They follow this with him mentioning that the doctor told him he had high blood pressure and she gets bent out of shape all over again because he'd failed to tell her this earlier too.

In the book I use an almost identical scene to make the point that social relationships come with specific informational responsibilities and that these are constitutive of the relationship -- in other words, they are a part of how we know we are in a particular kind/level of relationship. This relational dimension of information exchange is largely independent of the instrumental value of information (as in, you should have told me so that I could have done something different and achieved a better outcome for me or us) and so introduces an object of study for a sociology of information that is distinct from the object of, say, the economics of information.

Notification issues popping up on "Mad Men" was not actually an unusual event. It turns out that mis-nofitication is an incredibly common dramatic and humorous device. I started keeping a list a few years back when an episode of "The West Wing" (titled "17 People") was all about how the characters squared their sense of their status in the White House inner circle and their relationships with one another and the president with the order and manner in which they found out about the president's illness. It soon became obvious that variations on this theme were so common as to not warrant an exhaustive cataloging.

These ideas were first introduced in my 2006 piece in Sociological Theory (24,3): ―"Getting the Word Out: Notes on the Social Organization of Notification."

Thursday, May 15, 2008

The Ontology of Mis-Information

An editorial, "We'll Have to Check, Sir," in this morning's Times criticizes the apparent difficulties in purging incorrect information from the government's terrorist "watch list." It's not, at first glance, at all counter-intuitive that organizations put less energy in deleting data than they put into collecting and storing it. Further thought, though, and I think this is a point that's implicit in the editorial, suggests that databases that contain errors may be more costly than you would think. A catalog company, for example, that has stale addresses in its database wastes money when it sends catalogs to nowhere. We might guess that there's an equilibrium somewhere -- the cost of identifying and purging bad addresses stands in some relation to the cost of producing and sending an advertisement to a landfill. The problem comes when the costs are invisible or externalized or when a powerful entity operates on a "better safe than sorry" logic or has the "luxury" of imputing an infinite price for false negatives (e.g., since the cost of letting a terrorist get away is infinite, any effort wasted by a false positive is worth it).

But one wonders whether the Homeland Security policy would stand up to a thorough cost benefit analysis. Unless it has access to infinite resources, every time it detains a Ted Kennedy, or other unfortunately named individual, it is diverting resources from its important duties.

But all this brings up a more general sociology of information question. How should we think about mis-information. I don't mean the act of spreading mis-information. Rather, how should we think about recorded information which is false? This includes information recorded in databases that is incorrect as well as information in circulation that is either false or has been stripped of context in a way that renders it uninformative. It looks like information, but it is not.

One approach is to think like a statistician or electrical engineer and describe it as error or noise. That's helpful, but we probably need to distinguish random noise -- high entropy, "signal-less" gibberish -- and non-random, incorrect signals born of lies, mistakes, or unrecorded change (as when I move and don't update everyone who has me in their database).

How are the data-miners thinking about this? What will we learn about the sociology of information through trying to port concepts from EE? More to come....