A4 Refereed article in a conference publication
Third-Party Data Leaks in the Websites of Finnish Social and Healthcare Districts
Authors: Puhtila, Panu; Vuorinen, Esko; Rauti, Sampsa
Editors: Rocha, Álvaro; Adeli, Hojjat; Dzemyda, Gintautas; Moreira, Fernando; Poniszewska-Marańda, Aneta
Conference name: World Conference on Information Systems and Technologies
Publisher: Springer Science and Business Media Deutschland GmbH
Publication year: 2024
Journal: Lecture notes in networks and systems
Book title : Good Practices and New Perspectives in Information Systems and Technologies: WorldCIST 2024, Volume 1
Journal name in source: Lecture Notes in Networks and Systems
Volume: 985
First page : 139
Last page: 152
ISBN: 978-3-031-60214-6
eISBN: 978-3-031-60215-3
ISSN: 2367-3370
eISSN: 2367-3389
DOI: https://doi.org/10.1007/978-3-031-60215-3_14
Web address : https://doi.org/10.1007/978-3-031-60215-3_14
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/457045184
With digitalization, the use of essential social and healthcare services online has become increasingly prevalent. In this paper, we conduct a survey on the websites of Finnish social and healthcare districts and determine to what extent, if any, they leak their users’ personal data to third parties through the use of the collection and tracking of user data and actions with the web analytics tools. Our findings show that 82.6% of the studied websites leaked personal data to outside actors, but the extent and contents of these data leaks varied. Our study also demonstrates that in many cases, privacy policies of the studied websites do not always report personal data items transferred to third parties and fail to adequately inform users. The cookie banners of the studied websites were also found to contain several dark patterns.
Downloadable publication This is an electronic reprint of the original article. |  |
Funding information in the publication:
This research has been funded by Academy of Finland project 327397, IDA—Intimacy in Data-Driven Culture.
