Cart-ology: Intercepting Targeted Advertising via Ad Network Identity Entanglement

Author:

Oh ChangSeok1,Kanich Chris2,McCoy Damon3,Pearce Paul1

Affiliation:

1. Georgia Institute of Technology, Atlanta, GA, USA

2. University of Illinois Chicago, Chicago, IL, USA

3. NYU, New York, NY, USA

Publisher

ACM

Reference47 articles.

1. AdRoll. 2015. STATE of the INDUSTRY: A close look at retargeting and the programmatic marketer. https://www.iab.com/wp-content/uploads/2015/07/US_ AdRoll_State_of_the_Industry.pdf. AdRoll. 2015. STATE of the INDUSTRY: A close look at retargeting and the programmatic marketer. https://www.iab.com/wp-content/uploads/2015/07/US_ AdRoll_State_of_the_Industry.pdf.

2. AdRoll. 2016. Demystifying Cross-Device Marketing. https://pages.adroll.com/rs/964-WFU-818/images/Collision_Adam_Berke_Marketing_Stage.pdf. AdRoll. 2016. Demystifying Cross-Device Marketing. https://pages.adroll.com/rs/964-WFU-818/images/Collision_Adam_Berke_Marketing_Stage.pdf.

3. Google Ads. 2022. Tag your website for dynamic remarketing. https://support. google.com/google-ads/answer/3103357?hl=en&ref_topic=10070359#. Google Ads. 2022. Tag your website for dynamic remarketing. https://support. google.com/google-ads/answer/3103357?hl=en&ref_topic=10070359#.

4. AWS. 2019. Identity Graphs on AWS. https://aws.amazon.com/neptune/identity-graphs-on-aws/. AWS. 2019. Identity Graphs on AWS. https://aws.amazon.com/neptune/identity-graphs-on-aws/.

5. Paul Barford , Igor Canadi , Darja Krushevskaja , Qiang Ma , and S. Muthukrishnan . 2014. Adscape: Harvesting and Analyzing Online Display Ads . In Proceedings of the 23rd International Conference on World Wide Web ( Seoul, Korea) (WWW'14). Association for Computing Machinery, New York, NY, USA, 597--608. https://doi.org/10.1145/2566486.2567992 10.1145/2566486.2567992 Paul Barford, Igor Canadi, Darja Krushevskaja, Qiang Ma, and S. Muthukrishnan. 2014. Adscape: Harvesting and Analyzing Online Display Ads. In Proceedings of the 23rd International Conference on World Wide Web (Seoul, Korea) (WWW'14). Association for Computing Machinery, New York, NY, USA, 597--608. https://doi.org/10.1145/2566486.2567992

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