Cited by 1,156Spam and Phishing DetectionPrivacy, Security, and Data ProtectionCybercrime and Law Enforcement Studies

Social phishing

Open access
Jagatic, Tom N., Johnson, Nathaniel A., Jakobsson, Markus, Menczer, Filippo·2007·Communications of the ACM

Abstract

Sometimes a "friendly" email message tempts recipients to reveal more online than they otherwise would, playing right into the sender's hand.

Integrity signals

Registry

Crossref · 10.1145/1290958.1290968

Cites

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?

Cited by

Sorted by citations

Authors
Jagatic, T. N., Johnson, N. A., Jakobsson, M., & Menczer, F.
Affiliations
  • Massachusetts Institute of Technology (US)
  • Indiana University Bloomington (US)
Venue
Communications of the ACM
Published
2007-10
Volume
50
Issue
10
Pages
94-100
ISSN
  • 0001-0782 (ISSN-L)
  • 1557-7317
OpenAlex
W2335888457
Cited by
1,156
References
0
Citations by year
2026: 23 · 2025: 46 · 2024: 34 · 2023: 42 · 2022: 35 · 2021: 69 · 2020: 83 · 2019: 55 · 2018: 71 · 2017: 64 · 2016: 70 · 2015: 65 · 2014: 76 · 2013: 67 · 2012: 91
FWCI
163.58
Type
journal article
Language
en
Open access
Locations
Communications of the ACM (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Physical Sciences › Computer Science › Information Systems › Cybercrime and Law Enforcement Studies
Keywords
email, information disclosure, online privacy, social engineering, email security

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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