TY - GEN
T1 - Understanding the network and user-targeting properties of web advertising networks
AU - Wang, Yong
AU - Burgener, Daniel
AU - Kuzmanovic, Aleksandar
AU - Maciá-Fernández, Gabriel
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - Advertising has become an integral and inseparable part of the World Wide Web. However, neither public auditing nor monitoring mechanisms still exist in this emerging area. In this paper, we present our initial efforts on building a network-and content-level auditing service for Web-based ad networks. Our network-level measurements - charting the network infrastructure and quantifying the ad platforms'delay performance - can help commissioners to evaluate their networks from end users'perspective, and let advertisers choose commissioners that better fit their needs. Our content-level measurements - understanding the ad distribution mechanisms and evaluating location-based and behavioral targeting approaches - bring useful auditing information to all entities involved in the online advertising business. We extensively evaluate Google's, AOL's, and Adblade's ad networks and demonstrate how their different design philosophies dominantly affect their performance at both network and content levels.
AB - Advertising has become an integral and inseparable part of the World Wide Web. However, neither public auditing nor monitoring mechanisms still exist in this emerging area. In this paper, we present our initial efforts on building a network-and content-level auditing service for Web-based ad networks. Our network-level measurements - charting the network infrastructure and quantifying the ad platforms'delay performance - can help commissioners to evaluate their networks from end users'perspective, and let advertisers choose commissioners that better fit their needs. Our content-level measurements - understanding the ad distribution mechanisms and evaluating location-based and behavioral targeting approaches - bring useful auditing information to all entities involved in the online advertising business. We extensively evaluate Google's, AOL's, and Adblade's ad networks and demonstrate how their different design philosophies dominantly affect their performance at both network and content levels.
KW - Auditing service
KW - Content-level
KW - Network-level
KW - Web-based ad network
UR - http://www.scopus.com/inward/record.url?scp=80051907649&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80051907649&partnerID=8YFLogxK
U2 - 10.1109/ICDCS.2011.10
DO - 10.1109/ICDCS.2011.10
M3 - Conference contribution
AN - SCOPUS:80051907649
SN - 9780769543642
T3 - Proceedings - International Conference on Distributed Computing Systems
SP - 613
EP - 622
BT - Proceedings - 31st International Conference on Distributed Computing Systems, ICDCS 2011
T2 - 31st International Conference on Distributed Computing Systems, ICDCS 2011
Y2 - 20 June 2011 through 24 July 2011
ER -