Who Filters the Filters: Understanding the Growth, Usefulness and Efficiency of Crowdsourced Ad Blocking
Peter Snyder, Antoine Vastel, Benjamin Livshits
Abstract
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 whether a web request is associated with tracking or advertising, and so should be blocked. Millions of web users rely on filter lists to protect their privacy and improve their browsing experience.
Topics & Concepts
Blocking (statistics)Computer scienceBloom filterFilter (signal processing)HeuristicsResource (disambiguation)World Wide WebThe InternetComputer networkOperating systemComputer visionSpam and Phishing DetectionMobile Crowdsensing and CrowdsourcingInternet Traffic Analysis and Secure E-voting