Cited by 97Information and Cyber SecurityUser Authentication and Security SystemsSpam and Phishing Detection

Finding the weakest links in the weakest link: How well do undergraduate students make cybersecurity judgment?

Yan, Zheng, Robertson, Thomas, Yan, River, Park, Sung Yong, Bordoff, Samantha, Chen, Quan, Sprissler, Ethan·2018·Computers in Human Behavior

Integrity signals

Registry

Crossref · 10.1016/j.chb.2018.02.019

Cites

10 of 10 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
Yan, Z., Robertson, T., Yan, R., Park, S. Y., Bordoff, S., Chen, Q., & Sprissler, E.
Affiliations
University at Albany, State University of New York (US)
Corresponding author
Yan, Zheng
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2018-07
Volume
84
Pages
375-382
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2791923027
Cited by
97
References
10
Citations by year
2026: 4 · 2025: 10 · 2024: 13 · 2023: 18 · 2022: 14 · 2021: 15 · 2020: 14 · 2019: 7 · 2018: 2
FWCI
14.66
Type
journal article
Language
en
Open access
closed
Locations
Computers in Human Behavior (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
  • Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
  • Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
Keywords
weakest link, ordinary users, university students, cybersecurity knowledge, cybersecurity education, benchmarking

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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