Cited by 186Bullying, Victimization, and AggressionHate Speech and Cyberbullying DetectionWorkplace Violence and Bullying

Cyberbullying: A Review of the Literature

Open access
E. Notar, Charles, Padgett, Sharon, Roden, Jessica·2013·Universal Journal of Educational Research

Abstract

The article is a literature review on cyberbullying from 2007-2013. Topics covered in the review have been categorized starting with definition of cyberbullying; roles of persons involved and statistics of who is being targeted; reasons for cyberbullying; differences between traditional bullying and cyberbullying; and gender comparisons related to cyberbullying. This introduction to cyberbullying will provide a foundation for developing a cyberbullying intervention/prevention program

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.13189/ujer.2013.010101

Cites

64 of 64 references verified0 citation errors · 0 not checkable

Statistics

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.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Females engage more with cyberbullying as both perpetrators and victims.

    “Females engage more with cyberbullying as both perpetrators and victims owing to their higher involvement in indirect forms of aggression133,134 and more frequent use of social networking sites135,136.”

    From Umbrella review of meta-analyses on the risk factors, protective factors, consequences and interventions of cyberbullying victimization (2024) · cites this paper as [134]

    Section 7, “Gender Differences in Response to Cyberbullying” (page not specified), reports that females were over-represented among cyberbullies and victims. But it also describes gender findings as inconsistent and reports that boys were more inclined to engage in electronic bullying. The source therefore does not support the unqualified claim that females engage more as both perpetrators and victims. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 65 references couldn’t be matched to a known paper.

Research works printed but not linked: 12

  1. Adams, C. (2010). Cyberbullying: How to make it stop. Instructor. 120(2), 44-49.
  2. Bhat, C., Suniti, C., Shih-Hua, L., & Jamie A. (2010). Addressing cyberbullyingas media literacy. New Horizons in Education, 58(3), 34-43.
  3. Haber, J. D., & Daley, L. A. (2011). Cyberbullying Protection Plan. Camping Magazine, 84(2), 32-37.
  4. Holladay, J. (2011). Cyberbullying. Education Digest, 76(5), 4-9.
  5. Molins, N. C. (1999). Understanding teachers' judgments of problematic classroom behavior: The influence of depression education on teachers' perceptions and judgments. (behavior problems). Dissertation Abstracts International: Section B: The Sciences and Engineering, 60(4-B), pp. 1863. [Dissertation]
  6. Mustacchi, J. (2009). R U Safe? Educational Leadership, 66(6), 78-82.
  7. Poland, S. (2010). Cyberbullying continues to challenge educators. District Administration, 46(5), 55.
  8. Reece, T. (2012). Cyberbullying 411. Current Health Teens, 38(5), 7-9.
  9. Sbarbaro, V., & Smith, T. M. E. (2011). An exploratory study of bullying and cyberbullying behaviors among economically disadvantaged middle school students. American Journal of Health Studies, 26(3), 139.
  10. Vandebosch, H., & Van Cleemput, K. (2009). New Media & Society, 11(8), 1349-1371.
  11. Ybarra, M. L., & Mitchell, K. J. (2004). Online aggressor/targets, aggressors, and targets: a comparison of associated youth characteristics. Journal of Child Psychology & Psychiatry, 45(7), 1308-1316. DOI: 10.1111/j.1469-7610.2004.00328.x. · DOI
  12. Tokunaga, R. S. (2010). Following you home from school: A critical review and synthesis of researchon cyberbullying victimization. Computers in Human Behavior 26, 277-287..

Cited by

Sorted by citations

Authors
E. Notar, C., Padgett, S., & Roden, J.
Affiliations
Jacksonville State University (US)
Venue
Universal Journal of Educational Research
Published
2013-06
Volume
1
Issue
1
Pages
1-9
ISSN
  • 2332-3205 (ISSN-L)
  • 2332-3213
OpenAlex
W2155427315
Cited by
186
References
65
Citations by year
2026: 3 · 2025: 6 · 2024: 15 · 2023: 29 · 2022: 15 · 2021: 17 · 2020: 13 · 2019: 31 · 2018: 16 · 2017: 10 · 2016: 17 · 2015: 12 · 2014: 1 · 2012: 1
FWCI
14.97
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
Universal Journal of Educational Research (publishedVersion, cc-by)
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, cyberbullying perpetrators, cyberbullying victims, traditional bullying, gender differences, cyberbullying prevention, cyberbullying intervention

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