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Ad Blockers: Global Prevalence and Impact

Published: 14 November 2016 Publication History

Abstract

Ad blockers are a formidable threat to the vitality of the online advertising eco-system. Understanding their prevalence and impact is challenging due to the massive scale and diversity of the eco-system. In this paper, we utilize unique data gathering assets to assess the prevalence and impact of ad blockers from an Internet-wide perspective. Our study is based on (i) a 2 million person world-wide user panel that provides ground truth for ad blocker installations and (ii) telemetry from large number of publisher web pages and ads served to publishers. We describe a novel method for assessing the prevalence of ad blocker installations that is based on Mixture Proportion Estimation. We apply this method to nearly 2 trillion web transactions collected over the period of 1 month (February 2016), to derive ad blocker prevalence estimates for desktop systems in diverse geographic areas and for diverse demographic groups. Next, using deployment estimates we consider the impact of ad blockers on users and on publisher sites. Specifically, we report on the reduction of ads shown to users with ad blockers installed and show that even though a user may have an ad blocker installed, they are still exposed to a significant number of ads. We also characterize the impact of ad blockers across different categories of publisher sites including those that may be participating in whitelisting.

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S. Blanchfield. PageFair, 2016. https://pagefair.com.
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W. Palant. Adblock plus, 2016. http://adblockplus.org.
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E. Post and C. Sekharan. Comparative Study and Evaluation of Online Ad-Blockers. In Proceedings of the 2nd International Conference on Information Science and Security, Seoul, Korea, December 2015.
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E. Pujol, O. Hohlfeld, and A. Feldmann. Annoyed Users: Ads and Ad-Block Usage in the Wild. In Proceedings of the ACM Internet Measurement Conference, Tokyo, Japan, October 2015.
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Cited By

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  • (2024)A Web Browser Plugin for Users' Security AwarenessProceedings of the 19th International Conference on Availability, Reliability and Security10.1145/3664476.3670439(1-7)Online publication date: 30-Jul-2024
  • (2023)Detecting Deceptive Dark-Pattern Web Advertisements for Blind Screen-Reader UsersJournal of Imaging10.3390/jimaging91102399:11(239)Online publication date: 6-Nov-2023
  • (2023)The Welfare Effects of Ad BlockingSSRN Electronic Journal10.2139/ssrn.4635884Online publication date: 2023
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Published In

cover image ACM Conferences
IMC '16: Proceedings of the 2016 Internet Measurement Conference
November 2016
570 pages
ISBN:9781450345262
DOI:10.1145/2987443
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 November 2016

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Author Tags

  1. ad blockers
  2. empirical measurement
  3. mixture proportion estimation

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  • Short-paper

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IMC 2016
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IMC 2016: Internet Measurement Conference
November 14 - 16, 2016
California, Santa Monica, USA

Acceptance Rates

IMC '16 Paper Acceptance Rate 48 of 184 submissions, 26%;
Overall Acceptance Rate 277 of 1,083 submissions, 26%

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Cited By

View all
  • (2024)A Web Browser Plugin for Users' Security AwarenessProceedings of the 19th International Conference on Availability, Reliability and Security10.1145/3664476.3670439(1-7)Online publication date: 30-Jul-2024
  • (2023)Detecting Deceptive Dark-Pattern Web Advertisements for Blind Screen-Reader UsersJournal of Imaging10.3390/jimaging91102399:11(239)Online publication date: 6-Nov-2023
  • (2023)The Welfare Effects of Ad BlockingSSRN Electronic Journal10.2139/ssrn.4635884Online publication date: 2023
  • (2023)Client‐side energy and GHGs assessment of advertising and tracking in the news websitesJournal of Industrial Ecology10.1111/jiec.1337627:2(548-561)Online publication date: 9-Jan-2023
  • (2022)Advertising in the Age of Ad-BlockersMoving Businesses Online and Embracing E-Commerce10.4018/978-1-7998-8294-7.ch010(199-231)Online publication date: 2022
  • (2022)Demystifying Content-Blockers: Measuring Their Impact on Performance and Quality of ExperienceIEEE Transactions on Network and Service Management10.1109/TNSM.2022.317926719:3(3562-3573)Online publication date: Sep-2022
  • (2022)On the Impact of Internal Webpage Selection when Evaluating Ad Blocker Performance2022 30th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)10.1109/MASCOTS56607.2022.00014(41-48)Online publication date: Oct-2022
  • (2022)The Economy of Attention on Blockchain in the Brave BrowserFutures of Journalism10.1007/978-3-030-95073-6_4(49-62)Online publication date: 5-May-2022
  • (2021)The Influence of Sociological Variables on Users’ Feelings about Programmatic Advertising and the Use of Ad-BlockersInformatics10.3390/informatics80100058:1(5)Online publication date: 27-Jan-2021
  • (2021)TrackerSiftProceedings of the 21st ACM Internet Measurement Conference10.1145/3487552.3487855(569-576)Online publication date: 2-Nov-2021
  • Show More Cited By

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