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Tracking is a highly privacy-invasive data collection practice that has been ubiquitous in mobile apps for many years due to its role in supporting advertising-based revenue models. In response, Apple introduced two significant changes with…

Cryptography and Security · Computer Science 2022-05-10 Konrad Kollnig , Anastasia Shuba , Max Van Kleek , Reuben Binns , Nigel Shadbolt

In this work, we study ad conversion measurement, a central functionality in digital advertising, where an advertiser seeks to estimate advertiser website (or mobile app) conversions attributed to ad impressions that users have interacted…

Cryptography and Security · Computer Science 2024-03-25 John Delaney , Badih Ghazi , Charlie Harrison , Christina Ilvento , Ravi Kumar , Pasin Manurangsi , Martin Pal , Karthik Prabhakar , Mariana Raykova

In this paper we present a platform which is usable by novice users without domain knowledge of experts. The platform consisting of an iOS app to monitor network traffic and a website to evaluate the results. Monitoring takes place…

Computers and Society · Computer Science 2021-04-14 Oleg Geier , Dominik Herrmann

The prevalent engagement with mobile apps underscores the importance of understanding their data practices. Transparency plays a crucial role in this context, ensuring users to be informed and give consent before any data access occurs.…

Software Engineering · Computer Science 2025-11-04 Liu Wang , Dong Wang , Shidong Pan , Zheng Jiang , Haoyu Wang , Yi Wang

In-app advertising closely relates to app revenue. Reckless ad integration could adversely impact app reliability and user experience, leading to loss of income. It is very challenging to balance the ad revenue and user experience for app…

Computers and Society · Computer Science 2020-08-28 Cuiyun Gao , Jichuan Zeng , David Lo , Xin Xia , Irwin King , Michael R. Lyu

Apple introduced privacy labels in Dec. 2020 as a way for developers to report the privacy behaviors of their apps. While Apple does not validate labels, they also require developers to provide a privacy policy, which offers an important…

Cryptography and Security · Computer Science 2024-06-18 Mir Masood Ali , David G. Balash , Monica Kodwani , Chris Kanich , Adam J. Aviv

In today's mobile application marketplace, the ability of consumers to make informed choices regarding their privacy is extremely limited. Consumers largely rely on privacy policies and app permission mechanisms, but these do an inadequate…

Computers and Society · Computer Science 2015-01-05 Steven C. Isley

"Incentivized" advertising platforms allow mobile app developers to acquire new users by directly paying users to install and engage with mobile apps (e.g., create an account, make in-app purchases). Incentivized installs are banned by the…

Computers and Society · Computer Science 2020-10-06 Shehroze Farooqi , Álvaro Feal , Tobias Lauinger , Damon McCoy , Zubair Shafiq , Narseo Vallina-Rodriguez

Multi-touch attribution (MTA) estimates the relative contributions of the multiple ads a user may see prior to any observed conversions. Increasingly, advertisers also want to base budget and bidding decisions on these attributions,…

Applications · Statistics 2023-06-26 Dinah Shender , Ali Nasiri Amini , Xinlong Bao , Mert Dikmen , Amy Richardson , Jing Wang

The rise of mobile apps has brought greater convenience and many options for users. However, many apps use analytics services to collect a wide range of user interaction data, with privacy policies often failing to reveal the types of…

Software Engineering · Computer Science 2024-01-17 Feiyang Tang , Bjarte M. Østvold

Ads are an important revenue source for mobile app development, especially for free apps, whose expense can be compensated by ad revenue. The ad benefits also carry with costs. For example, too many ads can interfere the user experience,…

Computers and Society · Computer Science 2016-07-14 Cuiyun Gao , Hui Xu , Yichuan Man , Yangfan Zhou , Michael R. Lyu

The Privacy Sandbox Attribution Reporting API has been recently deployed by Google Chrome to support the basic advertising functionality of attribution reporting (aka conversion measurement) after deprecation of third-party cookies. The API…

Cryptography and Security · Computer Science 2023-11-23 Hidayet Aksu , Badih Ghazi , Pritish Kamath , Ravi Kumar , Pasin Manurangsi , Adam Sealfon , Avinash V Varadarajan

Over the past decade, programmatic advertising has received a great deal of attention in the online advertising industry. A real-time bidding (RTB) system is rapidly becoming the most popular method to buy and sell online advertising…

Machine Learning · Computer Science 2023-03-29 Ido Zehori , Nevo Itzhak , Yuval Shahar , Mia Dor Schiller

In an effort to combat ad annoyance in mobile apps, publishers have introduced a new ad format called "Incentivized Advertising" or "Rewarded Advertising", whereby users receive rewards in exchange for watching ads. There is much debate in…

Applications · Statistics 2021-02-03 Khai Chiong , Sha Yang , Richard Chen

As mobile app usage continues to rise, so does the generation of extensive user interaction data, which includes actions such as swiping, zooming, or the time spent on a screen. Apps often collect a large amount of this data and claim to…

Software Engineering · Computer Science 2024-04-24 Feiyang Tang , Bjarte M. Østvold

In December of 2020, Apple started to require app developers to self-report privacy label annotations on their apps indicating what data is collected and how it is used.To understand the adoption and shifts in privacy labels in the App…

Cryptography and Security · Computer Science 2025-04-16 David G. Balash , Mir Masood Ali , Monica Kodwani , Xiaoyuan Wu , Chris Kanich , Adam J. Aviv

Mobile advertising is a billion pound industry that is rapidly expanding. The success of an advert is measured based on how users interact with it. In this paper we investigate whether the application of unsupervised learning and…

Computers and Society · Computer Science 2016-11-17 Jenna Reps , Uwe Aickelin , Jonathan Garibaldi , Chris Damski

Promotions play a crucial role in e-commerce platforms, and various cost structures are employed to drive user engagement. This paper focuses on promotions with response-dependent costs, where expenses are incurred only when a purchase is…

Machine Learning · Computer Science 2023-08-11 Hugo Manuel Proença , Felipe Moraes

We consider pricing in settings where a consumer discovers his value for a good only as he uses it, and the value evolves with each use. We explore simple and natural pricing strategies for a seller in this setting, under the assumption…

Computer Science and Game Theory · Computer Science 2014-11-06 Shuchi Chawla , Nikhil R. Devanur , Anna Karlin , Balasubramanian Sivan

Budget allocation in online advertising deals with distributing the campaign (insertion order) level budgets to different sub-campaigns which employ different targeting criteria and may perform differently in terms of return-on-investment…

Artificial Intelligence · Computer Science 2015-02-25 Sahin Cem Geyik , Abhishek Saxena , Ali Dasdan
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