Cited by 318Privacy, Security, and Data ProtectionPrivacy-Preserving Technologies in DataUser Authentication and Security Systems

Understanding and capturing people's privacy policies in a mobile social networking application

Open access
Sadeh, Norman, Hong, Jason, Cranor, Lorrie, Fette, Ian, Kelley, Patrick, Prabaker, Madhu, Rao, Jinghai·2009·Personal and Ubiquitous Computing

Integrity signals

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Crossref · 10.1007/s00779-008-0214-3

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  • Much of past research on e-privacy has focused on users' attitudes and preferences toward sharing geolocation data.

    “Regarding the type of data, much of past research on e-privacy has focused on users' attitudes and preferences toward sharing geolocation data (e.g., Barkuus and Dey, 2003;Sadeh et al., 2009;King et al., 2011;Lindqvist et al., 2011;Yigitoglu et al., 2018).”

    From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Sadeh et al., 2009

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Authors
Sadeh, N., Hong, J., Cranor, L., Fette, I., Kelley, P., Prabaker, M., & Rao, J.
Affiliations
Carnegie Mellon University (US)
Corresponding author
Sadeh, Norman
Venue
Personal and Ubiquitous Computing
Published
2008-10-28
Volume
13
Issue
6
Pages
401-412
ISSN
  • 1617-4909 (ISSN-L)
  • 1617-4917
OpenAlex
W1984786275
Cited by
318
References
0
Citations by year
2026: 1 · 2025: 2 · 2024: 4 · 2023: 5 · 2022: 10 · 2021: 11 · 2020: 13 · 2019: 15 · 2018: 25 · 2017: 36 · 2016: 19 · 2015: 20 · 2014: 26 · 2013: 34 · 2012: 35
FWCI
71.75
Type
journal article
Language
en
Open access
Locations
  • Personal and Ubiquitous Computing (publishedVersion)
  • KiltHub Repository (submittedVersion)
  • Figshare (submittedVersion, cc-by)
  • KiltHub Repository
Topics
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
  • Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
Keywords
privacy policies, location privacy, mobile social networking, location sharing, privacy preferences, privacy rules, user interface, machine learning, user feedback

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