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Cited by 241

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

A multinational study on online privacy: global concerns and local responses

Hichang Cho, Rivera-Sánchez, Milagros, Sun Sun Lim·2009·New Media & Society

Abstract

This study surveyed 1261 internet users from five cities (Bangalore, Seoul, Singapore, Sydney and New York) to examine multinational internet users' perceptions and behavioural responses concerning online privacy. It identified a set of individual-level (demographics and internet-related experiences) and macro-level factors (nationality and national culture), and tested the extent to which they affected online privacy concerns and privacy protection behaviours. The results showed that individual differences (age, gender and internet experience), nationality and national culture significantly influenced internet users' privacy concerns to the extent that older, female internet users from an individualistic culture were more concerned about online privacy than their counterparts. The study also identified three underlying dimensions of privacy protection behaviour — avoidance, opt-out and proactive protection — and found that they distinctly related to the individual and macro-level factors. Overall, the findings highlight the conditional and multicultural nature of online privacy.

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Metadata

Authors
Cho, H., Rivera-Sánchez, M., & Lim, S. S.
Venue
New Media & Society
Published
2009-04-28
Volume
11
Issue
3
Pages
395-416
ISSN
  • 1461-4448 (ISSN-L)
  • 1461-7315
OpenAlex
W2143914272
Cited by
241
References
9
FWCI
33.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A multinational study on online privacy: global concerns and local responses. https://app.cochat.ai/papers/10.1177/1461444808101618
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Cho, H., Rivera-Sánchez, M., & Lim, S. S. (2009). A multinational study on online privacy: global concerns and local responses. New Media & Society. https://doi.org/10.1177/1461444808101618

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.