1996-12-12 - Re: Why PICS is the wrong approach

Header Data

From: “Brian A. LaMacchia” <bal@martigny.ai.mit.edu>
To: “Timothy C. May” <tcmay@got.net>
Message Hash: 5d490d7c9549e5b801bdcb472486f26a2c111080600819ec695a43a35cc8ef3b
Message ID: <3.0.32.19961211223708.0075996c@martigny.ai.mit.edu>
Reply To: N/A
UTC Datetime: 1996-12-12 03:37:35 UTC
Raw Date: Wed, 11 Dec 1996 19:37:35 -0800 (PST)

Raw message

From: "Brian A. LaMacchia" <bal@martigny.ai.mit.edu>
Date: Wed, 11 Dec 1996 19:37:35 -0800 (PST)
To: "Timothy C. May" <tcmay@got.net>
Subject: Re: Why PICS is the wrong approach
Message-ID: <3.0.32.19961211223708.0075996c@martigny.ai.mit.edu>
MIME-Version: 1.0
Content-Type: text/plain


At 01:11 PM 12/11/96 -0800, you wrote:
>
>PICS is the wrong approach becuase it oversimplifies the ratings of
>content, because it places the ratings made by the author in the payload
>itself, and because third-party ratings systems are cut out of the loop
>(effectively).

Um, first, there's nothing in the PICS spec that requires ratings to be
embedded with the content.  PICS labels can be distributed one of three ways:

1) embedded in the content, assuming there's a method of embedding defined
for the particular type of content.  (For HTML, you can put it in a META tag.)

2) sent "along-with" the content as part of the transmission protocol.
(For HTTP, there's a standard by which PICS labels can be sent as RFC-822
headers in the HTTP reply, but no one is using that to the best of my
knowledge.)

3) distributed from the third-party label bureau.

Method of distribution is independent of author of the label, too.  It's
perfectly reasonable for the author to distribute labels for his content
via a third-part label bureau, or for an author to embed a label from the
GoodMouseClicking page rating service within his document.

By the way, PICS labels nominally apply to a document named by a particular
URL.  You can elide the URL, I think, if the label is sent along with the
content or embedded within the content, but when you ask a label bureau for
labels you request them by URL.

Second, I don't see how PICS oversimplifies content rating.  If anything, I
would expect complaints that PICS complicates things too much because there
can be an infinite number of rating systems and a human is forced into the
loop to read and evaluate the meaning of any particular rating system.  It
is true that PICS currently only permits rating values to be numbers, but
enough PICS users need non-numeric values that I expect this to be changed
in January at the PICS WG meeting.

>One computerish way to think of this is that the "binding" is too early. At
>the time of distribution, say, I mark my work something with some PICS
>label, based upon my best understanding of the PICS labels, ratings,
>agencies, and laws. But once set, the "binding" has been made. Later
>reviews or reviews by other entities cannot affect the binding, at least
>not for this distributed instance.

It's true that reviewer B cannot affect reviewer A's labels, but B can make
statements about the quality of A's labels, and I can choose (in a more
general trust management environment) to accept labels only from label
authors who are vouched for by some particular vouching service.  So
GoodMouseClicking might say I'm a reliable rater of content in "Bal's
crypto-relevant rating service" but a lousy judge of pages for "Joe's cool
jazz pages rating service."

>More importantly, the "payload" does not carry some particular set of
>fairly-arbitrary PICS evluations. Binding by the censors instead of by the
>originator, which is as it should be.

The Feds obviously believe in "encouraging" self-rating as a means of
defending yourself when they haul you into court, but in general I think
people will tend to defer trust to particular third-party ratings services
that they choose over an author's self-labels.  After all, if I'm looking
for movie reviews the last thing I read is the self-promotion put out by
the distributor; I look for a third-party I know who tends to agree with my
tastes.  Same thing with product reviews (e.g. Consumer Reports) or book
reviews.  

					--bal






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