Cited by 53Privacy, Security, and Data ProtectionAccess Control and TrustSpam and Phishing Detection

Trust in Social Media

Tang, Jiliang, Liu, Huan·2015·Synthesis Lectures on Information Security, Privacy, and Trust

Integrity signals

Registry

Crossref · 10.1007/978-3-031-02345-3

Cites

133 of 133 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Tang, J., & Liu, H.
Affiliations
Arizona State University (US)
Venue
Synthesis Lectures on Information Security, Privacy, and Trust
Published
2015
Volume
10
Issue
1
Pages
1-129
ISSN
  • 1945-9742 (ISSN-L)
  • 1945-9750
OpenAlex
W2542474450
Cited by
53
References
133
Citations by year
2026: 1 · 2025: 2 · 2024: 5 · 2023: 8 · 2022: 5 · 2021: 4 · 2020: 6 · 2019: 13 · 2018: 5 · 2017: 1 · 2016: 3
FWCI
2.85
Type
book
Language
en
Open access
closed
Locations
  • Synthesis lectures on information security, privacy, and trust (publishedVersion)
  • CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Social Sciences › Sociology and Political Science › Access Control and Trust
  • Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
Keywords
trust, social media, online information sharing, online participation, information security, privacy

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 ›

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