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Over the past several months researchers at the Stanford Security Lab have been developing a platform for measuring dynamic web content. One of our chief applications is a system for automated enforcement of Do Not Track by detecting the myriad forms of third-party tracking, including cookies, HTML5 storage, fingerprinting, and much more. While the software isn't quite polished enough for public release, we're eager to share some unexpected early results on the advertising ecosystem. Please bear in mind that these are preliminary findings from experimental software; our primary aims at this stage are developing the platform and validating the approach to third-party tracking detection. Many thanks to Jovanni Hernandez and Akshay Jagadeesh for their invaluable research assistance.
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We manually identified tracking cookies (cookies that appeared to contain a unique identifier or substantially unique information) and how they were altered throughout each test. A spreadsheet of results is available. Please email if you would like a copy of the data we logged while testing a particular company's content.
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