The School of EECS is hosting the following PhD Progress Review 3 Seminar:
Nudging High-Accessible Privacy Policy Compliance
Speaker: Baiqi Chen
Host/Chair: Prof Hongzhi Yin
Abstract:
Privacy concerns regarding personal data have attracted significant attention among online end-users in recent years. In response, service providers are required to release a privacy policy document that clearly declares their data handling practices to end-users. However, ensuring that privacy policies are both compliant and highly accessible remains problematic. Online service providers might lack sufficient awareness of the content that a privacy policy should include. On the one hand, some service providers lack a full understanding of the relevant regulatory requirements, resulting in policy descriptions that may violate legal provisions. On the other hand, privacy policies are regarded as legal or semi-legal documents, which are usually lengthy and complex for end-users to understand. Many service providers lack the experience to draft privacy policies that are accessible and user-friendly with still meeting compliance standards. In this situation, service providers violate the data protection regulations and mislead end-users' understanding of their services. For service providers, this can lead to substantial penalties, including reputation damage and significant financial loss.
This thesis aims to nudge the high-accessible privacy policy compliance among online services for the providers. First, this thesis explores the online services' actual data handling practices aligned with the declared policies to meet the high-accessible privacy policy compliance. Second, this thesis investigates the interpretation of privacy policies from end-users' perspectives to nudge the high-accessible privacy policy compliance for service providers. According to the analysis findings, this thesis finally implements the automatic generation of explanations for technical terms in a privacy policy.
Bio:
Baiqi Chen is a third-year PhD candidate at the University of Queensland, under the supervision of Prof. Helen Huang. She received the Bachelor's degree of Engineering in the Tiangong University in 2019 and Master's degree of Information Technology in the University of Queensland in 2022. Then, she starts her PhD focusing on privacy and security. Her research interests include privacy policy, security usability, user privacy, and privacy compliance.
About Data Science Seminar
This seminar series is hosted by EECS Data Science.
Venue
Room 421, General Purpose South (78)
Online: https://uqz.zoom.us/j/82278727160
Online: https://uqz.zoom.us/j/82278727160