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Privacy-Utility Trade-Offs in Genetic Data Sharing and the Moderating Role of Social Distance: An Interdependent Privacy Calculus

Thiebes, Scott ORCID iD icon 1; Schmidt-Kraepelin, Manuel 1; Toussaint, Philipp A. ORCID iD icon 1; Lyytinen, Kalle; Sunyaev, Ali 1
1 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)

Abstract:

The sharing of sensitive data increasingly poses privacy risks not only to the disclosing individuals, but also to their families and friends. Genetic data sharing is a prime example of the tensions between personal and interdependent privacy risks and benefits that individuals must trade off when making disclosure decisions. Surprisingly, extant research has mostly neglected interdependent privacy-utility trade-offs and focused on personal privacy-utility trade-offs in genetic data sharing. We draw on the privacy calculus and the concept of interdependent privacy, as well as on construal level theory to theorize about the effects of personal and interdependent privacy-utility trade-offs in genetic data sharing. To test our hypotheses, we conducted a scenario-based factorial survey using contextualized vignettes in a typical genetic data sharing scenario. While our results support the hypothesized direct effects of personal and interdependent privacy-utility trade-offs, the role of social distance as a moderator within the interdependent calculus remains inconclusive.


Verlagsausgabe §
DOI: 10.5445/IR/1000177353
Veröffentlicht am 13.12.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2024
Sprache Englisch
Identifikator KITopen-ID: 1000177353
Erschienen in ICIS 2024 Proceedings, Bangkok, T, 2024, 15-18 December
Veranstaltung 45th International Conference on Information Systems (ICIS 2024), Bangkok, Thailand, 15.12.2024 – 18.12.2024
Externe Relationen Abstract/Volltext
Schlagwörter interdependent privacy, genetic data sharing, privacy calculus, social distance, construal level theory, vignette study
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