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Cited by 528

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Privacy in e-commerce: examining user scenarios and privacy preferences

Open access
Ackerman, Mark S., Cranor, Lorrie Faith, Reagle, Joseph·1999·Proceedings of the 1st ACM conference on Electronic commerce

Abstract

Privacy is a necessary concern in electronic commerce.It is difficult, if not impossible, to complete a transaction without revealing some personal data -a shipping address, billing information, or product preference.Users may be unwilling to provide this necessary information or even to browse online if they believe their privacy is invaded or threatened.Fortunately, there are technologies to help users protect their privacy.P3P (Platform for Privacy Preferences Project) from the World Wide Web Consortium is one such technology.However, there is a need to know more about the range of user concerns and preferences about privacy in order to build usable and effective interface mechanisms for P3P and other privacy technologies.Accordingly, we conducted a survey of 381 U.S. Net users, detailing a range of commerce scenarios and examining the participants' concerns and preferences about privacy.This paper presents both the findings from that study as well as their design implications.

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Crossref · 10.1145/336992.336995

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Metadata

Authors
Ackerman, M. S., Cranor, L. F., & Reagle, J.
Venue
Proceedings of the 1st ACM conference on Electronic commerce
Publisher
ACM
Published
1999-11
Pages
1-8
OpenAlex
W2102357195
Cited by
528
References
2
FWCI
35.64
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Privacy in e-commerce: examining user scenarios and privacy preferences. https://app.cochat.ai/papers/10.1145/336992.336995
The paper
Ackerman, M. S., Cranor, L. F., & Reagle, J. (1999). Privacy in e-commerce: examining user scenarios and privacy preferences. Proceedings of the 1st ACM conference on Electronic commerce. https://doi.org/10.1145/336992.336995

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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.