The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Cyberbullying: its nature and impact in secondary school pupils
Open accessAbstract
BACKGROUND: Cyberbullying describes bullying using mobile phones and the internet. Most previous studies have focused on the prevalence of text message and email bullying. METHODS: Two surveys with pupils aged 11-16 years: (1) 92 pupils from 14 schools, supplemented by focus groups; (2) 533 pupils from 5 schools, to assess the generalisability of findings from the first study, and investigate relationships of cyberbullying to general internet use. Both studies differentiated cyberbullying inside and outside of school, and 7 media of cyberbullying. RESULTS: Both studies found cyberbullying less frequent than traditional bullying, but appreciable, and reported more outside of school than inside. Phone call and text message bullying were most prevalent, with instant messaging bullying in the second study; their impact was perceived as comparable to traditional bullying. Mobile phone/video clip bullying, while rarer, was perceived to have more negative impact. Age and gender differences varied between the two studies. Study 1 found that most cyberbullying was done by one or a few students, usually from the same year group. It often just lasted about a week, but sometimes much longer. The second study found that being a cybervictim, but not a cyberbully, correlated with internet use; many cybervictims were traditional 'bully-victims'. Pupils recommended blocking/avoiding messages, and telling someone, as the best coping strategies; but many cybervictims had told nobody about it. CONCLUSIONS: Cyberbullying is an important new kind of bullying, with some different characteristics from traditional bullying. Much happens outside school. Implications for research and practical action are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The cited source says what the claim attributes to it.
In the citing paper
“The conceptualization of cyberbullying emerged from the theoretical and definitional foundations of traditional bullying research (5).”
From A thematic analysis of adolescents’ perceptions of cyberbullying and cyberaggression: definitional distinctions and educational gaps (2026) · cites this paper as [5]
In the citing paper
“However, a number of studies suggested that girls were more likely to be involved in cyberbullying as victims and perpetrators (Berne et al., 2014;Jacobs et al., 2015;Smith et al., 2008).”
From Young people’s conceptualizations of the nature of cyberbullying: A systematic review and synthesis of qualitative research (2020) · cites this paper as Smith et al., 2008
In the citing paper
“Three studies were judged to be less valuable because of a lack of clarity across the CASP domains, particularly with regard to research methods (Burnham & Wright, 2012;Smith et al., 2008;Vandebosch & Van Cleemput, 2008).”
From Young people’s conceptualizations of the nature of cyberbullying: A systematic review and synthesis of qualitative research (2020) · cites this paper as Smith et al., 2008
In the citing paper
“Many studies reported that cyberbullying takes place more often outside of school and is commonly experienced while at home, facilitated by technological access and insufficient adult monitoring and regulation (Burnham & Wright, 2012;Mishna et al., 2009;Smith et al., 2008).”
From Young people’s conceptualizations of the nature of cyberbullying: A systematic review and synthesis of qualitative research (2020) · cites this paper as Smith et al., 2008
In the citing paper
“Some young people perceived anonymity and the perpetrators ability to evade responsibility as a barrier to telling parents or teachers, as they make it impossible for the victim to prove the cyber incident or to identify the perpetrator (Mishna et al., 2009;Smith et al., 2008;Topcu et al., 2013).”
From Young people’s conceptualizations of the nature of cyberbullying: A systematic review and synthesis of qualitative research (2020) · cites this paper as Smith et al., 2008
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bullying at school: what we know and what we can do
(1994) · Choice Reviews Online · doi:10.5860/choice.32-1080 · Cited by 4,755
Hawker, D. S. J., & Boulton, M. J. (2000) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00629 · Cited by 2,694
Prevalence estimation of school bullying with the Olweus Bully/Victim Questionnaire
Solberg, M. E., & Olweus, D. (2003) · Aggressive Behavior · doi:10.1002/ab.10047 · Cited by 1,912
A survey of the nature and extent of bullying in junior/middle and secondary schools
Whitney, I., & Smith, P. K. (1993) · Educational Research · doi:10.1080/0013188930350101 · Cited by 1,331
Self-citationOnline aggressor/targets, aggressors, and targets: a comparison of associated youth characteristics
Ybarra, M. L., & Mitchell, K. J. (2004) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2004.00328.x · Cited by 1,313
Involvement in traditional and electronic bullying among adolescents.
Raskauskas, J., & Stoltz, A. D. (2007) · Developmental Psychology · doi:10.1037/0012-1649.43.3.564 · Cited by 1,017
Ybarra, M. L., Mitchell, K. J., Wolak, J., & David Finkelhor, B. (2006) · PEDIATRICS · doi:10.1542/peds.2006-0815 · Cited by 540
Smith, P. K., Pepler, D., & Rigby, K. (2004) · Cambridge University Press eBooks · doi:10.1017/cbo9780511584466 · Cited by 488
Self-citationWolke, D., Woods, S., Bloomfield, L., & Karstadt, L. (2000) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00687 · Cited by 477
The Early Socialization of Aggressive Victims of Bullying
Schwartz, D., Dodge, K. A., Pettit, G. S., & Bates, J. E. (1997) · Child Development · doi:10.1111/j.1467-8624.1997.tb04228.x · Cited by 441
Research works printed but not linked: 10
- ABA Factsheet., 2006, Bullying – the facts
- Balding J., 2005, Young people in 2004: The health‐related behaviour questionnaire results for 40,430 young people between the ages of 10 and 15
- DCFS, 2007, Safe to learn: Embedding anti‐bullying work in schools – cyberbullying
- DfES, 2002, Bullying: Don't suffer in silence. An anti‐bullying pack for schools
- Guba E.G., 1981, Effective evaluation
- Mobile Life Youth Report., 2006, The impact of the mobile phone on the lives of young people
- NCH, 2005, Putting U in the picture – mobile phone bullying survey 2005
- Noret N., 2006, The prevalence of bullying by text message or email: Results of a four year study
- Smith P.K., 2006, An investigation into cyberbullying, its forms, awareness and impact, and the relationship between age and gender in cyberbullying
- Willard N.E., 2006, Cyberbullying and cyberthreats
Cited by
Sorted by citations
Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014) · Psychological Bulletin · doi:10.1037/a0035618 · Cited by 3,266
Tokunaga, R. S. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.11.014 · Cited by 2,566
Children and Adolescents and Digital Media
Reid Chassiakos, Y. (., Radesky, J., Christakis, D., Moreno, M. A., Cross, C., COUNCIL ON COMMUNICATIONS AND MEDIA, Hill, D., Ameenuddin, N., Hutchinson, J., Levine, A., et al. (2016) · Pediatrics · doi:10.1542/peds.2016-2593 · Cited by 1,340
Moore, S. E., Norman, R. E., Suetani, S., Thomas, H. J., Sly, P. D., & Scott, J. G. (2017) · World Journal of Psychiatry · doi:10.5498/wjp.v7.i1.60 · Cited by 1,320
Psychological, Physical, and Academic Correlates of Cyberbullying and Traditional Bullying
Kowalski, R. M., & Limber, S. P. (2013) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2012.09.018 · Cited by 1,295
Metadata
- Authors
- Smith, P. K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., & Tippett, N.
- Affiliations
- Goldsmiths University of London (GB)
- Corresponding author
- Smith, Peter K.
- Venue
- Journal of Child Psychology and Psychiatry
- Publisher
- Wiley
- Published
- 2008-03-19
- Volume
- 49
- Issue
- 4
- Pages
- 376-385
- ISSN
- 0021-9630 (ISSN-L)
- 1469-7610
- OpenAlex
- W2152126085
- Cited by
- 3,639
- References
- 20
- Citations by year
- 2026: 140 · 2025: 212 · 2024: 233 · 2023: 242 · 2022: 304 · 2021: 269 · 2020: 290 · 2019: 286 · 2018: 259 · 2017: 203 · 2016: 223 · 2015: 236 · 2014: 212 · 2013: 149 · 2012: 187
- FWCI
- 85.62
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Child Psychology and Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Keywords
- cyberbullying, high school students, bullying prevalence, internet use, bullying impacts, coping strategies, age and gender differences, bully-victims
- MeSH terms
- Adolescent, Aggression, Antisocial Personality Disorder, Child, Cross-Sectional Studies, Dominance-Subordination, England, Female, Health Surveys, Humans, London, Male, Peer Group, Pilot Projects, Surveys and Questionnaires, Social Environment, Incidence, Focus Groups, Crime Victims, Internet, Cell Phone
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