TY - GEN
T1 - Unveiling Privacy Measures in Mental Health Applications
AU - Hassan, Muhammad
AU - Bashir, Masooda
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/10/8
Y1 - 2023/10/8
N2 - Mental health conditions have become a global public health issue, especially in the context of the COVID-19 pandemic. To cope with the increasing demand for mental health services, many people have turned to smartphone applications that offer various mental health solutions, such as therapy, counseling, and self-help. However, these applications also pose significant privacy risks for their users, as they collect and share sensitive personal and health information with third parties, often without adequate consent or transparency. In this study, we examine the privacy policies of popular mental health smartphone applications using the Fair Information Practice Principles (FIPPs), a widely recognized privacy framework. Our objective is to assess the extent to which these applications adhere to the FIPPs guidelines and to identify the gaps and challenges in their privacy practices. We hope that our findings can inform and guide policy makers and application developers to design more user-centric and robust privacy policies that ensure the safety and security of users' information.
AB - Mental health conditions have become a global public health issue, especially in the context of the COVID-19 pandemic. To cope with the increasing demand for mental health services, many people have turned to smartphone applications that offer various mental health solutions, such as therapy, counseling, and self-help. However, these applications also pose significant privacy risks for their users, as they collect and share sensitive personal and health information with third parties, often without adequate consent or transparency. In this study, we examine the privacy policies of popular mental health smartphone applications using the Fair Information Practice Principles (FIPPs), a widely recognized privacy framework. Our objective is to assess the extent to which these applications adhere to the FIPPs guidelines and to identify the gaps and challenges in their privacy practices. We hope that our findings can inform and guide policy makers and application developers to design more user-centric and robust privacy policies that ensure the safety and security of users' information.
KW - Mental Health Application
KW - Policy Analysis
KW - Privacy Policies
UR - http://www.scopus.com/inward/record.url?scp=85175475677&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85175475677&partnerID=8YFLogxK
U2 - 10.1145/3594739.3612879
DO - 10.1145/3594739.3612879
M3 - Conference contribution
AN - SCOPUS:85175475677
T3 - UbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing
SP - 648
EP - 654
BT - UbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing
PB - Association for Computing Machinery
T2 - 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing, UbiComp/ISWC 2023
Y2 - 8 October 2023
ER -