Paper Type
Complete
Paper Number
PACIS2025-1567
Description
Recently, dual lists have been implemented in apps as a promising solution to address users’ privacy cynicism. Focusing on this emerging practice, we identify design features of dual lists (data sharing occurrence, data type label and dual lists affordance) based on Construal Level Theory (CLT), and examine how these design features influence users’ privacy-protective settings behavior based on Elaboration Likelihood Model (ELM). Our online experiment reveals that data sharing occurrence and data type label alleviate users’ privacy cynicism through reducing their privacy uncertainty by invoking central route of information processing, while dual lists affordance mitigates privacy cynicism via the peripheral route, ultimately influencing users’ privacy-protective settings behavior. Interestingly, dual lists affordance is effective in reducing privacy cynicism only when data sharing occurrence is disclosed. Privacy uncertainty exerts a double-edged effect on users’ privacy-protective settings behavior. We conclude by discussing implications for research and practice.
Recommended Citation
Liu, Bailing; Lei, Xiaofang; and Liang, Zhonghui, "Mitigating App Users’ Privacy Cynicism by Shortening Their Psychological Distances" (2025). PACIS 2025 Proceedings. 2.
https://aisel.aisnet.org/pacis2025/security/security/2
Mitigating App Users’ Privacy Cynicism by Shortening Their Psychological Distances
Recently, dual lists have been implemented in apps as a promising solution to address users’ privacy cynicism. Focusing on this emerging practice, we identify design features of dual lists (data sharing occurrence, data type label and dual lists affordance) based on Construal Level Theory (CLT), and examine how these design features influence users’ privacy-protective settings behavior based on Elaboration Likelihood Model (ELM). Our online experiment reveals that data sharing occurrence and data type label alleviate users’ privacy cynicism through reducing their privacy uncertainty by invoking central route of information processing, while dual lists affordance mitigates privacy cynicism via the peripheral route, ultimately influencing users’ privacy-protective settings behavior. Interestingly, dual lists affordance is effective in reducing privacy cynicism only when data sharing occurrence is disclosed. Privacy uncertainty exerts a double-edged effect on users’ privacy-protective settings behavior. We conclude by discussing implications for research and practice.
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