Goodbye tracking? Impact of iOS app tracking transparency and privacy labels
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 …
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
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 …
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
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 …
rapid progression in the market for smart devices and mobile Apps has brought about a …
Deciding on personalized ads: Nudging developers about user privacy
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 …
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
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 …
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
This study investigates the determinants of service satisfaction with online healthcare
platforms using machine learning (ML) algorithms. By training and testing eleven ML models …
platforms using machine learning (ML) algorithms. By training and testing eleven ML models …
“developers are responsible”: What ad networks tell developers about privacy
Advertising networks enable developers to create revenue, but using them potentially
impacts user privacy and requires developers to make legal decisions. To understand what …
impacts user privacy and requires developers to make legal decisions. To understand what …
Charting app developers' journey through privacy regulation features in ad networks
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; …
“configurations” on these platforms to limit data collection and adhere to privacy regulations; …
A large-scale investigation into geodifferences in mobile apps
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 …
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
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 …
media. There have been proposals to help protect the privacy of these users, by providing …