The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Cyber-Aggression: Definition and Concept of Cyberbullying
Abstract
Abstract This study examined definitions and concepts of cyberbullying. It identified words, terms and definitions used for negative acts on the internet and mobile phones across different age groups in the United Kingdom. Young people and adults' (N = 32; age = 8–54) constructs and perceptions of negative online behaviours were also reported. Focus groups and individual interviews were employed using qualitative triangulation: Thematic Analysis and Interpretative Phenomenological Analysis. The study examined current definitions and concepts of cyberbullying and how these differ in its findings; and considered different ways to foster positive online behaviour for the context of practitioners. The concept of cyber-aggression is used to describe a wide range of behaviours other than cyberbullying. The findings indicate that there is a need to include a broader definition in line with the current trend of a range of behaviours that are common with internet and mobile phone usage.
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“Instead, cyberaggression was proposed as a broader, more encompassing term, defined as “intentional harm delivered by the use of electronic means to a person or a group of people irrespective of their age, who perceive(s) such acts as offensive, derogatory, harmful or unwanted” (61, p. 152).”
From A thematic analysis of adolescents’ perceptions of cyberbullying and cyberaggression: definitional distinctions and educational gaps (2026) · cites this paper as [61]
In the citing paper
“Grigg (61) conducted focus groups and interviews with individuals aged between 8–54 to understand their perceptions of cyberbullying. Results suggested that cyberbullying was considered a vague, inadequate and restricted term, not broad enough to encompass the wide range of negative and aggressive behaviors that take place online.”
From A thematic analysis of adolescents’ perceptions of cyberbullying and cyberaggression: definitional distinctions and educational gaps (2026) · cites this paper as [61]
In the citing paper
“As such, their perceptions closely aligned to Grigg’s (61) definition of cyberaggression.”
From A thematic analysis of adolescents’ perceptions of cyberbullying and cyberaggression: definitional distinctions and educational gaps (2026) · cites this paper as Grigg’s (61)
In the citing paper
“Another distinguishing factor is the large space in which a cyber bully has to offend.There are no limits, boundaries or even time constraints, so the victim can be targeted at any time or place, including their own home and/or bedroom (Grigg, 2010;Sticca and Perren, 2013).”
From A review of cyberbullying and suggestions for online psychological therapy (2015) · cites this paper as Grigg, 2010
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Metadata
- Authors
- Grigg, D. W.
- Affiliations
- Goldsmiths University of London (GB)
- Corresponding author
- Grigg, Dorothy Wunmi
- Venue
- Australian Journal of Guidance and Counselling
- Publisher
- SAGE Publications
- Published
- 2010-12-01
- Volume
- 20
- Issue
- 2
- Pages
- 143-156
- ISSN
- 1037-2911 (ISSN-L)
- 1839-2520
- OpenAlex
- W2033087746
- Cited by
- 396
- References
- 26
- Citations by year
- 2026: 16 · 2025: 21 · 2024: 29 · 2023: 34 · 2022: 35 · 2021: 33 · 2020: 38 · 2019: 35 · 2018: 27 · 2017: 30 · 2016: 22 · 2015: 26 · 2014: 17 · 2013: 17 · 2012: 14
- FWCI
- 14.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Australian Journal of Guidance and Counselling (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, online aggression, mobile phone use, internet use, youth, adults, age differences, practitioner guidance
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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