A privacy calculus model for contact tracing apps: Analyzing the use behavior of the German Corona-Warn-App with a longitudinal user study.

Harborth D, Pape S

Open source

DOI
10.1016/j.cose.2023.103338
Published
2023 Sep
Container
Computers & security
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.cose.2023.103338,
  title = {A privacy calculus model for contact tracing apps: Analyzing the use behavior of the German Corona-Warn-App with a longitudinal user study.},
  author = {Harborth D and Pape S},
  year = {2023},
  journal = {Computers \& security},
  doi = {10.1016/j.cose.2023.103338},
  url = {https://doi.org/10.1016/j.cose.2023.103338}
}

RIS

TY  - JOUR
TI  - A privacy calculus model for contact tracing apps: Analyzing the use behavior of the German Corona-Warn-App with a longitudinal user study.
AU  - Harborth D
AU  - Pape S
PY  - 2023
JO  - Computers & security
DO  - 10.1016/j.cose.2023.103338
UR  - https://doi.org/10.1016/j.cose.2023.103338
ER  - 

APA

D, H., & S, P. (2023). A privacy calculus model for contact tracing apps: Analyzing the use behavior of the German Corona-Warn-App with a longitudinal user study.. Computers & security. https://doi.org/10.1016/j.cose.2023.103338

Source records