Paper Number
2151
Paper Type
short
Description
Privacy research widely assumes that individuals are less likely to disclose their data if they are uncertain about the consequences of their disclosure decision. This negative effect has been confirmed in various contexts where individuals disclose their data primarily for their own benefit. However, recent studies in behavioral science provide evidence that uncertainty may have a different effect in prosocial contexts. Transferring this to the privacy and data disclosure context, our research study aims to better understand how uncertainty influences prosocial data disclosure, i.e., situations where individuals disclose their data to benefit others. In this short paper, we present the results of qualitative interviews conducted with 19 users of a COVID-19 contact-tracing application and develop hypotheses on how the relevant context-specific uncertainties affect prosocial data disclosure. We hypothesize that a specific type of uncertainty–other- focused impact uncertainty–is positively associated with prosocial data disclosure.
Recommended Citation
Ghaffar, Abdul Muqeet; Widjaja, Thomas; and Roider, Hanna, "Towards a Theory to Explain the Effect of Uncertainty on Prosocial Data Disclosure" (2023). ICIS 2023 Proceedings. 3.
https://aisel.aisnet.org/icis2023/cyber_security/cyber_security/3
Towards a Theory to Explain the Effect of Uncertainty on Prosocial Data Disclosure
Privacy research widely assumes that individuals are less likely to disclose their data if they are uncertain about the consequences of their disclosure decision. This negative effect has been confirmed in various contexts where individuals disclose their data primarily for their own benefit. However, recent studies in behavioral science provide evidence that uncertainty may have a different effect in prosocial contexts. Transferring this to the privacy and data disclosure context, our research study aims to better understand how uncertainty influences prosocial data disclosure, i.e., situations where individuals disclose their data to benefit others. In this short paper, we present the results of qualitative interviews conducted with 19 users of a COVID-19 contact-tracing application and develop hypotheses on how the relevant context-specific uncertainties affect prosocial data disclosure. We hypothesize that a specific type of uncertainty–other- focused impact uncertainty–is positively associated with prosocial data disclosure.
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