Privacy visualizations help users understand the privacy implications of using an online
service. Privacy by Design guidelines provide generally accepted privacy standards for …

5 cell phone, with 77 percent of them smartphones. All of these connections potentially link
people to one another through a variety of social media sites and other interaction platforms …

Advances in artificial intelligence (AI) have shaped today's user services, enabling
enhanced personalization and better support. As such AI-based services inevitably require …

Over the last few years, smart speakers such as Amazon Echo and Google Home have
become increasingly present within British households. Yet, privacy remains a prominent …

Clicks, comments, transactions, and physical movements are being increasingly recorded
and analyzed by Big Data processors who use this information to trace the sentiment and …

With the digital age, businesses are increasingly collecting consumers' data, which is raising
privacy issues. Existing research has been dominated by the rational-based privacy calculus …

Household waste recycling is a significant challenge for society. Cities worldwide have been
exploring how to reduce waste through recycling. Incentive mechanism is one of the …

Most users of smartphone apps remain unaware of what data about them is being collected,
by whom, and how these data are being used. In this mixed methods investigation, we …

“There's an app for that” is perhaps the definitive rhetoric of our times. To understand how
users navigate the trade-offs involved in using apps that support a variety of everyday …

In this paper we present a methodology to analyze users' concerns and perspectives about
privacy at scale. We leverage NLP techniques to process millions of mobile app reviews and …