Privacy Risk is a Function of Information Type
[Paper] [Presentation] [Slides]
Yixuan Wang, Junhui Li
Faculty Mentors: Ranjan Pal and Mingyan Liu
Data and the economy around it are driving the modern industrial revolution. Interestingly, the people - whose data acts as the new oil for the digital economy - play a rather passive role in it as they are often left out of the value chain that transforms raw data into huge monetary benefits. Add to this, information privacy risks and their consequent malefic effects these people get subjected to as a result of the data-driven economy. In this research, we experimentally study the impact of monetary incentives on the privacy preference of humans having access to mobile apps on smartphones in India.
My contributions
- Analyzed data of large-scale non-online randomized controlled trial (RCT) experiments on human subjects across India from 2015-2019
- Investigate how various degrees of incentive influence human preference to voluntarily trade their data with the demand side of the digital economy
- Illustrated underlying social patterns that characterize these preferences, such as the role of geographical and professional demographics on privacy preferences under the influence of incentives