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Big data’s impact on privacy, security and consumer welfare
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“Thus, privacy violations in the metaverse are likely to lead to more severe consequences, which are also referred to as an amplified technical impact (ISACA, 2014;Kshetri, 2014).”
From Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2022) · cites this paper as Kshetri, 2014
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Metadata
- Authors
- Kshetri, N.
- Affiliations
- University of North Carolina at Greensboro (US)
- Corresponding author
- Kshetri, Nir
- ORCID
- Kshetri, Nir
- Venue
- Telecommunications Policy
- Publisher
- Elsevier BV
- Published
- 2014-12
- Volume
- 38
- Issue
- 11
- Pages
- 1134-1145
- ISSN
- 0308-5961 (ISSN-L)
- OpenAlex
- W2032157471
- Cited by
- 300
- References
- 51
- Citations by year
- 2026: 23 · 2025: 17 · 2024: 25 · 2023: 25 · 2022: 52 · 2021: 21 · 2020: 24 · 2019: 25 · 2018: 26 · 2017: 33 · 2016: 20 · 2015: 8 · 2014: 1
- FWCI
- 67.31
- Type
- journal article
- Language
- en
- Open access
- green
- libres.uncg.edu
- Locations
- Telecommunications Policy (publishedVersion)
- NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Keywords
- big data, privacy, data security, consumer welfare, externalities, data collection, data sharing, data storage, data accessibility, consumer vulnerability, consumer sophistication
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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.
What counts as a claim ›How we measure confidence ›How we check this ›
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