The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
Cyberbullying: An Exploratory Analysis of Factors Related to Offending and Victimization
Abstract
Victimization on the Internet through what has been termed cyberbullying has attracted increased attention from scholars and practitioners. Defined as “willful and repeated harm inflicted through the medium of electronic text” (Patchin and Hinduja 2006 Patchin , J. W. and S. Hinduja . 2006 . “Bullies Move Beyond the Schoolyard: A Preliminary Look at Cyberbullying.” Youth Violence and Juvenile Justice 4 ( 2 ): 148 – 169 .[Crossref] , [Google Scholar]:152), this negative experience not only undermines a youth's freedom to use and explore valuable on-line resources, but also can result in severe functional and physical ramifications. Research involving the specific phenomenon—as well as Internet harassment in general—is still in its infancy, and the current work seeks to serve as a foundational piece in understanding its substance and salience. On-line survey data from 1,378 adolescent Internet-users are analyzed for the purposes of identifying characteristics of typical cyberbullying victims and offenders. Although gender and race did not significantly differentiate respondent victimization or offending, computer proficiency and time spent on-line were positively related to both cyberbullying victimization and offending. Additionally, cyberbullying experiences were also linked to respondents who reported school problems (including traditional bullying), assaultive behavior, and substance use. Implications for addressing this novel form of youthful deviance are discussed.
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“While there is a high correlation between traditional bullying and cyberbullying28,45,46, marked differences exist between the two.”
From Umbrella review of meta-analyses on the risk factors, protective factors, consequences and interventions of cyberbullying victimization (2024) · cites this paper as [46]
In the citing paper
“Second, no significant association was found between participants' age and cyberbullying perpetration, in line with previous research showing that participants' age was not a significant predictor of cyberbullying perpetration (Steffgen, König, Pfetsch, & Melzer, 2011), but contrary to evidence suggesting a significant link between the variables in question (DeHue et al., 2008;Hinduja & Patchin, 2”
From Cyberbullying through the lens of social influence: Predicting cyberbullying perpetration from perceived peer-norm, cyberspace regulations and ingroup processes (2020) · cites this paper as Hinduja & Patchin, 2008
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Metadata
- Authors
- Hinduja, S., & Patchin, J. W.
- Affiliations
- Florida Atlantic University (US)
- University of Wisconsin–Eau Claire (US)
- Corresponding author
- Hinduja, Sameer
- Venue
- Deviant Behavior
- Publisher
- Informa UK Limited
- Published
- 2008-01-22
- Volume
- 29
- Issue
- 2
- Pages
- 129-156
- ISSN
- 0163-9625 (ISSN-L)
- 1521-0456
- OpenAlex
- W2000453371
- Cited by
- 1,497
- References
- 73
- Citations by year
- 2026: 39 · 2025: 71 · 2024: 68 · 2023: 76 · 2022: 102 · 2021: 100 · 2020: 99 · 2019: 131 · 2018: 94 · 2017: 96 · 2016: 113 · 2015: 136 · 2014: 84 · 2013: 80 · 2012: 82
- FWCI
- 55.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Deviant 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 › Stalking, Cyberstalking, and Harassment
- Keywords
- cyberbullying, cyber victimization, adolescents, computer proficiency, online time, school problems, traditional bullying, assaultive behavior, substance use, gender differences, racial differences, youth deviance
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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