CVS update: openprivacy/htdocs/notes

From: cvs@openprivacy.org
Date: Fri Feb 09 2001 - 02:21:01 PST

  • Next message: cvs@openprivacy.org: "CVS update: sierra/src/config"

    Date: Friday February 9, 19101 @ 2:21
    Author: fen
    CVSWEB Options: -------------------

    Main CVSWeb: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi

    View this module: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes

    -----------------------------------

    Update of /usr/local/cvs/public/openprivacy/htdocs/notes
    In directory giga:/home/fen/projects/openprivacy/htdocs/notes

    Modified Files:
            whitepaper.shtml
    Log Message:
    a few thoughts on chaos

    *****************************************************************
    File: openprivacy/htdocs/notes/whitepaper.shtml

    CVSWEB Options: -------------------

    CVSWeb: Annotate this file: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes/whitepaper.shtml?annotate=1.4

    CVSWeb: View this file: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes/whitepaper.shtml?rev=1.4&content-type=text/x-cvsweb-markup

    CVSWeb: Diff to previous version: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes/whitepaper.shtml.diff?r1=1.4&r2=1.3

    -----------------------------------

    Index: openprivacy/htdocs/notes/whitepaper.shtml
    diff -u openprivacy/htdocs/notes/whitepaper.shtml:1.3 openprivacy/htdocs/notes/whitepaper.shtml:1.4
    --- openprivacy/htdocs/notes/whitepaper.shtml:1.3 Thu Feb 8 14:44:59 2001
    +++ openprivacy/htdocs/notes/whitepaper.shtml Fri Feb 9 02:21:01 2001
    @@ -1,30 +1,27 @@
     <!--#include virtual="/includes/top.html"-->
     <!--#include virtual="/includes/navigation.html"-->
    -<!-- $Id: whitepaper.shtml,v 1.3 2001/02/08 22:44:59 fen Exp $ -->
    +<!-- $Id: whitepaper.shtml,v 1.4 2001/02/09 10:21:01 fen Exp $ -->
     
       <h2>OpenPrivacy - Building a Better Internet</h2>
     
       <h3>Abstract</h3>
       <p>
    -
         OpenPrivacy.org is building an Internet platform to take us into the
         next age - the age of personalized information. Basic to this goal is a
         platform that will provide people with complete control over their
         personal information and aid them in protecting their privacy while
         simultaneously enabling more efficient data mining and the access to
         specific market segments that advertisers crave.
    -
    -</p><p>
    -
    + </p>
    + <p>
         OpenPrivacy creates a secure marketplace for anonymous demographic and
         profile information, and a distributed, attack-resistant,
         reputation-based rating system that can be used for everything from item
         selection and ordering to search result filtering. Further, this system
         is completely open, allowing multiple communication mechanisms,
         languages and ontological meanings to co-exist - we thrive in diversity.
    -
    -</p><p>
    -
    + </p>
    + <p>
         To accomplish our goals, we introduce three new concepts: Opinions,
         Reputations and Bias. These are all first class, signed objects that
         are created at will under a multitude of pseudonymous entities
    @@ -33,11 +30,9 @@
         objects in such a way that only the owner of the information can
         validate the connections between them, but others may - if granted
         access, can mine for potentially profitable correlations.
    -
       </p>
       <h3>Background</h3>
       <p>
    -
         The manner in which personal (profile) information is collected and used
         today is grossly inefficient not to mention a massive violation of
         privacy. It [current standard practice] developed over the course of
    @@ -47,70 +42,88 @@
         that they can't see the opportunity. (Remember that the marketers were
         originally beholden to Industry, but now Industry is beholden to the
         marketers.) Their fear, reinforced by the marketers, is that ,
    -
       </p>
       <h3>What a Profile Is (and How Is Profile Data Used)</h3>
       <p>
    -
         <font color="red">
           <i>
             how is profile data collected? what does it comprise of? how is it
             used? what is its value?
           </i>
         </font>
    -
    - </p><p>
    -
    + </p>
    + <p>
         For traditional marketing mechanisms to work, profile data must be
         linkable to the people that it refers to. Such links may be one's phone
         number, postal or electronic mail address, a persistent cookie saved by
         a company's web site on one's computer, or other devices.
    -
       </p>
       <h3>Privacy Concerns</h3>
       <p>
    -
         <font color="red">
           <i>
             being tracked and watched. junk mail. spam. profile data being used,
             misused and sold without the principal's permission.
           </i>
         </font>
    -
       </p>
       <h3>Anonymity</h3>
       <p>
    -
         The concept of anonymous profile data strikes fear into the hearts of
         marketers, for while they could mine the data for concordances of
         interest, they would not be able to contact the market segments so
         identified.
    -
       </p>
       <h3>Collaborative Filtering and Recommendation Systems</h3>
       <p>
    -
         The data mining of anonymous data can have its uses, as in simple
         collaborative filtering systems. These systems collect inputs from many
         people on a particular subject (say, what their current favorite movie
         is) and then average the results and come up with recommendations. This
         works with reasonable accuracy in a well behave populace...
    -
       </p>
    - <h3>Pseudonymity and Reputations</h3>
    + <h3>Publishing with Pseudonymity</h3>
       <p>
    -
         Pseudonymity
    -
    + </p>
    + <h3>Reputations Aid Discovery</h3>
    + <p>
    +
       </p>
       <h3>The Value of Information [Quality]</h3>
       <p>
    -
         
    -
       </p>
       <h3>An Agoric, Reputation-based Marketplace [Capitalism]</h3>
    -
    + <p>
    +
    + </p>
    + <h3>Efficiency Via Chaos and Bias</h3>
    + <p>
    + Chaos is an essential element for systems to evolve, for without it the
    + unexpected changes and mutations that lead to new, often revolutionary
    + processes will not have a chance to occur. The very fact that people are
    + all different - not only from each other but even with one's self from
    + moment to moment - has a valuable ramification: that we all have
    + different opinions and bias. This points to a major failing of search
    + engines: that each person who enters the same search X probably has a
    + slightly different mind set of what they would like to see as results.
    + </p>
    + <p>
    + OpenPrivacy thrives in this multitude of opinion, this diversity of
    + thought, for though we are all different, there are certain areas that
    + two very different people may align with. For example, suppose person A
    + reads the New York Times every day and finds an average of four articles
    + that A considers tops - well worth the cost of the paper and her time to
    + find them. Now consider that there probably exists a person B who finds
    + the same four articles to be indispensable. The safe, secure,
    + pseudonymous publishing environment of OpenPrivacy, along with the
    + agoric marketplace of a million infomediaries looking for valuable
    + concordances, make it possible for these two people to virtually meet.
    + Further, A may strike a deal with B to provide her with the editorial
    + filtering process, saving A time and aiding B at least in reputation if
    + not also financially.
    + </p>
     <!--#include virtual="/includes/bottom.html"-->
     
     



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