Errors, misunderstandings, and attacks: Analyzing the crowdsourcing process of ad-blocking systems

M Alrizah, S Zhu, X Xing, G Wang - Proceedings of the Internet …, 2019 - dl.acm.org
Ad-blocking systems such as Adblock Plus rely on crowdsourcing to build and maintain filter
lists, which are the basis for determining which ads to block on web pages. In this work, we …

The ad wars: retrospective measurement and analysis of anti-adblock filter lists

U Iqbal, Z Shafiq, Z Qian - … of the 2017 Internet Measurement Conference, 2017 - dl.acm.org
The increasing popularity of adblockers has prompted online publishers to retaliate against
adblock users by deploying anti-adblock scripts, which detect adblock users and bar them …

Ad blockers: Global prevalence and impact

M Malloy, M McNamara, A Cahn, P Barford - Proceedings of the 2016 …, 2016 - dl.acm.org
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 …

Measuring the impact and perception of acceptable advertisements

RJ Walls, ED Kilmer, N Lageman… - Proceedings of the 2015 …, 2015 - dl.acm.org
In 2011, Adblock Plus---the most widely-used ad blocking software---began to permit some
advertisements as part of their Acceptable Ads program. Under this program, some ad …

Who filters the filters: Understanding the growth, usefulness and efficiency of crowdsourced ad blocking

P Snyder, A Vastel, B Livshits - arXiv preprint arXiv:1810.09160, 2018 - arxiv.org
Ad and tracking blocking extensions are popular tools for improving web performance,
privacy and aesthetics. Content blocking extensions typically rely on filter lists to decide …

Who filters the filters: Understanding the growth, usefulness and efficiency of crowdsourced ad blocking

P Snyder, A Vastel, B Livshits - … of the ACM on Measurement and …, 2020 - dl.acm.org
Ad and tracking blocking extensions are popular tools for improving web performance,
privacy and aesthetics. Content blocking extensions generally rely on filter lists to decide …

[PDF][PDF] Detecting anti ad-blockers in the wild

MH Mughees, Z Qian - Privacy Enhancing Technologies Symposium …, 2017 - par.nsf.gov
The rise of ad-blockers is viewed as an economic threat by online publishers who primarily
rely on online advertising to monetize their services. To address this threat, publishers have …

Adblocking and counter blocking: A slice of the arms race

R Nithyanand, S Khattak, M Javed… - 6th USENIX Workshop …, 2016 - usenix.org
Adblocking tools like Adblock Plus continue to rise in popularity, potentially threatening the
dynamics of advertising revenue streams. In response, a number of publishers have ramped …

[PDF][PDF] Adgraph: A machine learning approach to automatic and effective adblocking

U Iqbal, Z Shafiq, P Snyder, S Zhu, Z Qian… - arXiv preprint arXiv …, 2018 - shitong.me
Filter lists are widely deployed by adblockers to block ads and other forms of undesirable
content in web browsers. However, these filter lists are manually curated based on informal …

A longitudinal analysis of online ad-blocking blacklists

SS Hashmi, M Ikram, MA Kaafar - 2019 IEEE 44th LCN …, 2019 - ieeexplore.ieee.org
Websites employ third-party ads and tracking services leveraging cookies and JavaScript
code, to deliver ads and track users' behavior, causing privacy concerns. To limit online …