diff --git a/api.bs b/api.bs
index 7dab622..7a97973 100644
--- a/api.bs
+++ b/api.bs
@@ -27,11 +27,11 @@ The primary goal of this API is to enable attribution for advertising.
## Attribution ## {#s-attribution}
-Attribution is the process of identifying [=actions=]
+In advertising, attribution is the process of identifying [=actions=]
that precede an [=outcome=] of interest,
and allocating value to those [=actions=].
-For advertising, actions that are of interest
+Actions that are of interest to advertisers
are primarily the showing of advertisements
(also referred to as impressions).
Other actions include ad clicks (or other interactions)
@@ -117,32 +117,108 @@ with multiple purveyors of personal information that is traded for various purpo
## Goals ## {#goals}
-The goal of this document is to define a means of performing attribution
+The goal of this document is to define an means of performing [=attribution=]
+for advertising
that does not enable tracking.
-The primary challenge with attribution is in maintaining privacy.
-Attribution involves connecting activity on different sites.
-If that information were directly revealed,
-it would enable unwanted
-[[PRIVACY-PRINCIPLES#dfn-cross-context-recognition cross-context recognition]],
-thereby enabling tracking.
-This document avoids cross context recognition by ensuring that
-attribution information is aggregated using an [=aggregation service=].
-The aggregation service is trusted to compute an aggregate
-without revealing the values that each person contributes to that aggregate.
+## End-User Benefit ## {#user-benefit}
-Strict limits are placed on the amount of information that each browser instance
-contributes to the aggregates for a given site.
-Differential privacy is used to provide additional privacy protection for each contribution.
+The measurement of advertising performance creates new cross-site flows of information.
+That information flow creates a privacy risk or cost--
+of [[PRIVACY-PRINCIPLES#dfn-cross-context-recognition|cross-context recognition]]--
+that needs to be justified in terms of benefits to end users.
-Details of aggregation service operation is included in [[#aggregation]].
-The differential privacy design used is outlined in [[#dp]].
+Any benefits realized by end users through the use of [=attribution=] is indirect.
+End users that visit a website
+pay for "free" content or services
+primarily through their attention
+to any advertisements the site shows them.
+This "value" accrues to the advertiser,
+who in turn pays the site.
+The site is expected to use this money to
+support the provision of their content or services.
-## End-User Benefit ## {#user-benefit}
+
+path:images/value.svg
+
+
{
+ "coppacalypse": {
+ "authors": [
+ "Garrett Johnson",
+ "Tesary Lin",
+ "James C. Cooper",
+ "Liang Zhong"
+ ],
+ "title": "COPPAcalypse? The Youtube Settlement's Impact on Kids Content",
+ "href": "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4430334",
+ "date": "2024-03-14"
+ },
"dp": {
"authors": [
"Cynthia Dwork",
@@ -822,6 +914,47 @@ spec:infra; type:dfn; text:user agent
"title": "The Algorithmic Foundations of Differential Privacy",
"publisher": "now, Foundations and Trends in Theoretical Computer Science, Vol. 9, Nos. 3–4"
},
+ "eu-ad": {
+ "authors": [
+ "Niklas FOURBERG",
+ "Serpil TAŞ",
+ "Lukas WIEWIORRA",
+ "Ilsa GODLOVITCH",
+ "Alexandre DE STREEL",
+ "Hervé JACQUEMIN",
+ "Jordan HILL",
+ "Madalina NUNU",
+ "Camille BOURGUIGON",
+ "Florian JACQUES",
+ "Michèle LEDGER",
+ "Michael LOGNOUL"
+ ],
+ "title": "Online advertising: the impact of targeted advertising on advertisers, market access and consumer choice",
+ "href": "https://www.europarl.europa.eu/thinktank/en/document/IPOL_STU(2021)662913",
+ "publisher": "European Parliament",
+ "date": "2021-06"
+ },
+ "free-gdp": {
+ "authors": [
+ "Leonard Nakamura",
+ "Jon D. Samuels",
+ "Rachel Soloveichik"
+ ],
+ "title": "Measuring the \"Free\" Digital Economy within the GDP and Productivity Accounts",
+ "href": "https://www.bea.gov/research/papers/2017/measuring-free-digital-economy-within-gdp-and-productivity-accounts",
+ "publisher": "Bureau of Economic Analysis",
+ "date": "2017-10"
+ },
+ "online-advertising": {
+ "authors": [
+ "Avi Goldfarb",
+ "Catherine Tucker"
+ ],
+ "title": "Online Advertising",
+ "href": "https://doi.org/10.1016/B978-0-12-385514-5.00006-9",
+ "edDraft": "http://www-2.rotman.utoronto.ca/~agoldfarb/OnlineAdvertising.pdf",
+ "publisher": "Elsevier"
+ },
"ppa-dp": {
"authors": [
"Pierre Tholoniat",