Cited by 207Bullying, Victimization, and AggressionHate Speech and Cyberbullying DetectionImpact of Technology on Adolescents

Cyberbullying: A concept analysis of defining attributes and additional influencing factors

Peter, Ira-Katharina, Petermann, Franz·2018·Computers in Human Behavior

Integrity signals

Registry

Crossref · 10.1016/j.chb.2018.05.013

Cites

65 of 65 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
Peter, I.-K., & Petermann, F.
Affiliations
University of Bremen (DE)
Corresponding author
Peter, Ira-Katharina
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2018-09
Volume
86
Pages
350-366
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2802758282
Cited by
207
References
65
Citations by year
2026: 32 · 2025: 26 · 2024: 32 · 2023: 33 · 2022: 29 · 2021: 30 · 2020: 17 · 2019: 8
FWCI
17.59
Type
journal article
Language
en
Open access
closed
Locations
Computers in Human Behavior (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
  • Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Keywords
cyberbullying, definition of cyberbullying, defining attributes, conceptual analysis, conceptualization, influencing factors, adolescents

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