Choice Architecture, Framing, and Cascaded Privacy Choices

• 成果类型: Article
• 署名作者: Adjerid, Idris; Acquisti, Alessandro; Loewenstein, George
• 署名单位: University of Notre Dame; Carnegie Mellon University
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.2018.3028
• 发表日期: 2019
• 页码: 2267-2290
• 关键词: choice architecture; privacy decision making; framing; behavior and behavioral decision making

摘要

For consumers, managing privacy online requires navigating a complex process of interrelated choices. This process may be conceived of as cascaded, in that a combination of upstream choices (e.g., of privacy settings on a social network site) and downstream choices (e.g., of what to reveal on the site) together determine ultimate privacy outcomes. In a series of experiments, we examine the potential impact of choice architecture in cascaded privacy choice settings. We investigate how changes in choice frames implemented by service providers can influence consumers' upstream disclosure settings, often in ways that they are unaware of and that may be destructive to them. Whether the effects of choice frames upstream are ultimately detrimental to individuals' privacy, however, depends on whether they are offset by more or less protective downstream choices. Thus, we also examine whether such upstream effects of choice architecture are mitigated through changes in downstream self-disclosure. We find, first, that various manipulations of decision frames, common in privacy contexts, significantly impact participants' upstream choice of disclosure settings. Second, we do not find evidence that the impact of choice architecture upstream is mitigated downstream: participants' self-disclosure rates do not adjust or change in response to choice architecture-induced changes in upstream choices. These findings call into question both policy makers' and industry advocates' reliance on choice-based privacy protection mechanisms, contribute to an emerging behavioral perspective on privacy decision making, and highlight the importance of accounting for the cascaded nature of privacy decision making in both policy and managerial settings.