Cited by 13Privacy, Security, and Data ProtectionInnovative Human-Technology InteractionPrivacy-Preserving Technologies in Data

Privacy-awareness information for web forums: results from an empirical study

Pötzsch, Stefanie, Wolkerstorfer, Peter, Graf, Cornelia·2010·Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries

Abstract

While interacting with others on the internet, users share a lot of personal data with a potentially large but "invisible" audience. An important issue is maintaining control over personal data and therefore, in the first place, users need to be aware to whom they are disclosing which data. Based on the cues-filtered-out theory we introduce a new feature to support the privacy-awareness of forum users and tested it with 313 users. The results of our empirical study show that the presentation of privacy-related context cues indeed increases forum users' privacy-awareness. This is an important precondition for users' willingness to modify privacy settings or to use privacy-enhancing technologies.

Integrity signals

Registry

Crossref · 10.1145/1868914.1868957

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • Cues-Filtered-Out Theory implies that individuals disclose more personal data in computer-mediated communication settings compared to face-to-face settings due to the absence of social and contextual cues leading to disclosure of information online despite general privacy concerns.

    “Cues-Filtered-Out Theory (Sproull andKiesler, 1986, 1991) implies that individuals disclose more personal data in computermediated communication settings compared to face-to-face settings due to the absence of social and contextual cues leading to disclosure of information online despite general privacy concerns (Pötzsch et al., 2010).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Pötzsch, S., Wolkerstorfer, P., & Graf, C.
Affiliations
  • Technische Universität Dresden (DE)
  • Center for Usability Research and Engineering (AT)
Venue
Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries
Publisher
ACM
Published
2010-10-16
Pages
363-372
OpenAlex
W1991691282
Cited by
13
References
3
Citations by year
2025: 2 · 2023: 1 · 2021: 3 · 2020: 1 · 2019: 1 · 2017: 1 · 2014: 1 · 2013: 2
FWCI
2.80
Type
conference paper
Language
en
Open access
closed
Locations
Nordic Conference on Human-Computer Interaction (publishedVersion)
Funders
Seventh Framework Programme (216483)
Topics
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
  • Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
Keywords
privacy awareness, online forums, contextual cues, personal information disclosure, privacy settings, privacy-enhancing technologies, user privacy control

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.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review