Goodbye tracking? Impact of iOS app tracking transparency and privacy labels

K Kollnig, A Shuba, M Van Kleek, R Binns… - Proceedings of the …, 2022 - dl.acm.org
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 …

Developers say the darnedest things: Privacy compliance processes followed by developers of child-directed apps

N Alomar, S Egelman - Proceedings on Privacy Enhancing …, 2022 - petsymposium.org
We investigate the privacy compliance processes followed by developers of child-directed
mobile apps. While children's online privacy laws have existed for decades in the US, prior …

What makes consumers purchase mobile apps: Evidence from Jordan

AS Al-Adwan, G Sammour - Journal of Theoretical and Applied Electronic …, 2020 - mdpi.com
Mobile applications (mobile Apps) have changed the ecosystem of the business world. The
rapid progression in the market for smart devices and mobile Apps has brought about a …

Deciding on personalized ads: Nudging developers about user privacy

M Tahaei, A Frik, K Vaniea - … Symposium on Usable Privacy and Security …, 2021 - usenix.org
Mobile advertising networks present personalized advertisements to developers as a way to
increase revenue. These types of ads use data about users to select potentially more …

Iotflow: Inferring iot device behavior at scale through static mobile companion app analysis

D Schmidt, C Tagliaro, K Borgolte… - Proceedings of the 2023 …, 2023 - dl.acm.org
The number of" smart''devices, that is, devices making up the Internet of Things (IoT), is
steadily growing. They suffer from vulnerabilities just as other software and hardware …

Using machine learning to explore the determinants of service satisfaction with online healthcare platforms during the COVID-19 pandemic

C Liu, Y Li, M Fang, F Liu - Service Business, 2023 - Springer
This study investigates the determinants of service satisfaction with online healthcare
platforms using machine learning (ML) algorithms. By training and testing eleven ML models …

“developers are responsible”: What ad networks tell developers about privacy

M Tahaei, K Vaniea - Extended Abstracts of the 2021 CHI Conference …, 2021 - dl.acm.org
Advertising networks enable developers to create revenue, but using them potentially
impacts user privacy and requires developers to make legal decisions. To understand what …

Charting app developers' journey through privacy regulation features in ad networks

M Tahaei, M Ramokapane, T Li… - The 22nd Privacy …, 2022 - research-information.bris.ac.uk
Mobile apps enable ad networks to collect and track users. App developers are given
“configurations” on these platforms to limit data collection and adhere to privacy regulations; …

A large-scale investigation into geodifferences in mobile apps

R Kumar, A Virkud, RS Raman, A Prakash… - 31st USENIX Security …, 2022 - usenix.org
Recent studies on the web ecosystem have been raising alarms on the increasing
geodifferences in access to Internet content and services due to Internet censorship and …

“All apps do this”: Comparing Privacy Concerns Towards Privacy Tools and Non-Privacy Tools for Social Media Content

V Bracamonte, S Pape, S Loebner - Proceedings on Privacy …, 2022 - petsymposium.org
Users report that they have regretted accidentally sharing personal information on social
media. There have been proposals to help protect the privacy of these users, by providing …