Defining Cyberbullying: a Multifaceted Definition Based on the Perspectives of Emerging Adults
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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?
Cyberbullying is an extension of traditional bullying.
“It is widely accepted that cyberbullying is an extension of traditional bullying42, with many researchers modelling their definitions of cyberbullying on the main characteristics of traditionally bullying43: intention, repetition and power imbalance44.”
From Umbrella review of meta-analyses on the risk factors, protective factors, consequences and interventions of cyberbullying victimization (2024) · cites this paper as [42]
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References 67 · Cited by 44
- Authors
- Alipan, A., Skues, J. L., Theiler, S., & Wise, L.
- Affiliations
- Swinburne University of Technology (AU)
- Corresponding author
- Alipan, Alexandra
- Venue
- International Journal of Bullying Prevention
- Published
- 2019-04-15
- Volume
- 2
- Issue
- 2
- Pages
- 79-92
- ISSN
- 2523-3653 (ISSN-L)
- 2523-3661
- OpenAlex
- W2937322940
- Cited by
- 44
- References
- 67
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 4 · 2023: 5 · 2022: 8 · 2021: 6 · 2020: 5 · 2019: 1
- FWCI
- 6.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Bullying Prevention (publishedVersion)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion)
- 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 › Workplace Violence and Bullying
- Keywords
- cyberbullying, definition of cyberbullying, emerging adults, traditional bullying, perpetrator perspective, power imbalance, intent to harm, repetition
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.
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