The Impact of Relative Standards on the Propensity to Disclose

By Alessandro Acquisti, Leslie K. John, George Loewenstein. 2012

264 citations recorded by the source corpus.

Subfields: General Decision Sciences, Safety Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/394b2b6814ab2e8a2717d82cd7e76714745ff045

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In General Decision Sciences

In Safety Research

In Sociology and Political Science

Citations in the corpus

Nudges for Privacy and Security (2017, background): “Acquisti et al. [2012] found that disclosure is sensitive to herding effects, where disclosure of personal information can be inﬂuenced by information about others’ disclosures.”
Secrets and Likes: The Drive for Privacy and the Difficulty of Achieving It in the Digital Age (2020, background): “Documenting this and a variety of related effects, Acquisti, John, and Loewenstein (2012) conducted a study in which a panel of New York Times readers were asked a series of sensitive questions and, after answering each, were given the ostensible distribution of answers by other participants.”
Why Am I Seeing This Ad? The Effect of Ad Transparency on Ad Effectiveness (2019, background): “On the other hand, given research suggestive of consumers’ capacity to adapt to privacy violations (Acquisti, John, and Loewenstein 2012), and the stickiness of those violations, the opposite may occur, with consumers becoming desensitized over time.”
Engineering Information Disclosure: Norm Shaping Designs (2016, background): “However, the pathway from observing others, to changing one’s normative beliefs, to changing one’s behavior in the context of information disclosure is not as well-understood (though the fact that such a pathway exists has been demonstrated in [6]).”
Tales from the Dark Side: Privacy Dark Strategies and Privacy Dark Patterns (2016, methodology): “This technique has already been studied in the context of private information disclosure [4] and privacy user settings [30].”
Consumers and Artificial Intelligence: An Experiential Perspective (2020, unknown): “Future research should also explore how the cultural cognitive, normative, or regulatory legitimacy of AI changes over time to influence consumer reactions to data capture (Acquisti, John, and Loewenstein 2012; Humphreys 2010), particularly in light of AI’s rapid diffusion in the marketplace.”
Data Privacy: Effects on Customer and Firm Performance (2017, unknown): “Customers limit how and with whom they share sensitive information to reduce this vulnerability, using disclosure management processes such as reactance or refusal (Acquisti, John, and Loewenstein 2012).”