Boundaries of Privacy: Dialectics of Disclosure
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Privacy management involves adjusting boundaries based on the level of trust and control consumers feel they have.
“Privacy management involves adjusting these boundaries based on the level of trust and control consumers feel they have.”
From Feeling Watched: A Phenomenological Exploration of Consumer Discomfort and Data Privacy Concerns in E-Commerce Personalized Email Marketing (2025) · cites this paper as Petronio, 2002
Consumers may feel uncomfortable when brands overstep perceived boundaries by using overly specific data for personalization.
“This theory also explains why consumers may feel uncomfortable when brands overstep perceived boundaries by using overly specific data for personalization.”
From Feeling Watched: A Phenomenological Exploration of Consumer Discomfort and Data Privacy Concerns in E-Commerce Personalized Email Marketing (2025) · cites this paper as Petronio, 2002
Privacy Management Theory provides insight into how individuals set boundaries around their private information in mediated environments.
“Building on this, Privacy Management Theory, introduced by Petronio (2002), provides insight into how individuals set boundaries around their private information in mediated environments.”
From Feeling Watched: A Phenomenological Exploration of Consumer Discomfort and Data Privacy Concerns in E-Commerce Personalized Email Marketing (2025) · cites this paper as Petronio, 2002
Privacy boundaries are vital for consumer comfort, according to Privacy Management Theory.
“This discomfort with over-personalization aligns with findings from Privacy Management Theory, which posits that privacy boundaries are vital for consumer comfort.”
From Feeling Watched: A Phenomenological Exploration of Consumer Discomfort and Data Privacy Concerns in E-Commerce Personalized Email Marketing (2025) · cites this paper as Petronio, 2002
Consumers value control over personal data, as described in Privacy Management Theory.
“As described in Privacy Management Theory (Petronio, 2002), consumers value control over personal data.”
From Feeling Watched: A Phenomenological Exploration of Consumer Discomfort and Data Privacy Concerns in E-Commerce Personalized Email Marketing (2025) · cites this paper as Petronio, 2002
The citation lists haven’t been fetched yet
Cited by 1,533
- Authors
- Petronio, S.
- Corresponding author
- Petronio, Sandra
- Venue
- State University of New York Press eBooks
- Publisher
- State University of New York Press
- Published
- 2002
- OpenAlex
- W4380763704
- Cited by
- 1,533
- References
- 0
- Citations by year
- 2026: 162 · 2025: 97 · 2024: 98 · 2023: 111 · 2022: 92 · 2021: 87 · 2020: 94 · 2019: 101 · 2018: 79 · 2017: 73 · 2016: 86 · 2015: 91 · 2014: 60 · 2013: 62 · 2012: 37
- FWCI
- 12.54
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- State University of New York Press eBooks (publishedVersion)
- Project Muse (Johns Hopkins University) (submittedVersion)
- DigitalGeorgetown (Georgetown University Library) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Law, Rights, and Freedoms
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Sociology and Political Science › Foucault, Power, and Ethics
- Keywords
- privacy, disclosure, boundaries, dialectics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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