Ad networks examples



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[PDF] Code-Level Dark Patterns: Exploring Ad Networks' Misleading Code

We present three code samples from Google and Amazon ad networks where the code samples do not provide a “I do not consent” option for location data collection 
tahaei darkpatterns


[PDF] ARTICLE 29 DATA PROTECTION WORKING PARTY Opinion 2

22 juin 2010 The Opinion comments on how advertising network providers ... example by reserving different places on the website for different advertising ...
wp en


Doubleclick Ad Exchange Auction arXiv:1204.0535v1 [cs.GT] 2 Apr

2 avr. 2012 between the exchange and publishers or ad networks etc. For example what commodities should be traded? One can imagine trading contracts ...


[PDF] ``Developers Are Responsible'': What Ad Networks Tell Developers

We found that information is focused on complying with legal regulations and puts the responsibility for such decisions on the developer. Also
tahaei AdNetworkLBW


[PDF] Charting App Developers' Journey Through Privacy Regulation

Abstract: Mobile apps enable ad networks to collect and track users. App developers are given privacy tasks for example
pets charting regulations adnetworks


[PDF] Code-Level Dark Patterns: Exploring Ad Networks' Misleading Code

Code-Level Dark Patterns: Exploring Ad Networks' Misleading. Code Samples with Negative Consequences for Users. Mohammad Tahaei mohammad.tahaei@ed.ac.uk.
chi dark patterns workshop


[PDF] Charting App Developers' Journey Through Privacy Regulation

ad networks present privacy regulations and how usable the provided configurations are for privacy tasks for example
popets


[PDF] ``Developers Are Responsible'': What Ad Networks Tell Developers

We found that information is focused on complying with legal regulations and puts the responsibility for such decisions on the developer. Also
tahaei AdNetworkLBW


[PDF] Charting App Developers' Journey Through Privacy Regulation

Abstract: Mobile apps enable ad networks to collect and track users. App developers are given privacy tasks for example
popets


Perceptual Ad Blocking meets Adversarial Machine Learning

inputs (e.g. an ad-network cannot “sample” new ads until it finds one that evades the ad-blocker)


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