Bullying in the Digital Age: A Critical Review and Meta-Analysis of
Cyberbullying Research Among Youth
Robin M. Kowalski
Clemson University
Gary W. Giumetti
Quinnipiac University
Amber N. Schroeder
Western Kentucky University
Micah R. Lattanner
Duke University
Although the Internet has transformed the way our world operates, it has also served as a venue for
cyberbullying, a serious form of misbehavior among youth. With many of today’s youth experiencing
acts of cyberbullying, a growing body of literature has begun to document the prevalence, predictors, and
outcomes of this behavior, but the literature is highly fragmented and lacks theoretical focus. Therefore,
our purpose in the present article is to provide a critical review of the existing cyberbullying research.
The general aggression model is proposed as a useful theoretical framework from which to understand
this phenomenon. Additionally, results from a meta-analytic review are presented to highlight the size of
the relationships between cyberbullying and traditional bullying, as well as relationships between
cyberbullying and other meaningful behavioral and psychological variables. Mixed effects meta-analysis
results indicate that among the strongest associations with cyberbullying perpetration were normative
beliefs about aggression and moral disengagement, and the strongest associations with cyberbullying
victimization were stress and suicidal ideation. Several methodological and sample characteristics served
as moderators of these relationships. Limitations of the meta-analysis include issues dealing with
causality or directionality of these associations as well as generalizability for those meta-analytic
estimates that are based on smaller sets of studies (k 5). Finally, the present results uncover important
areas for future research. We provide a relevant agenda, including the need for understanding the
incremental impact of cyberbullying (over and above traditional bullying) on key behavioral and
psychological outcomes.
Keywords: cyberbullying, bullying, perpetration, victimization, general aggression model
As more people turn to the Internet for school, work, and social
use, so too do more people turn to the Internet to take out their
frustrations and aggression. One form of cyber aggression has been
gaining the attention of both researchers and the public in recent
years: cyberbullying. Cyberbullying is typically defined as aggres-
sion that is intentionally and repeatedly carried out in an electronic
context (e.g., e-mail, blogs, instant messages, text messages)
against a person who cannot easily defend him- or herself (Ko-
walski, Limber, & Agatston, 2012; Patchin & Hinduja, 2012).
Many researchers have noted that cyberbullying is occurring at
widespread rates among youth and adults, with some studies
showing nearly 75% of school-age children (Juvonen & Gross,
2008; Katzer, Fetchenhauer, & Belschak, 2009) experiencing this
form of aggression at least once in the last year. The experience of
cyberbullying has been linked with a host of negative outcomes for
both individuals and organizations (e.g., schools), including anx-
iety, depression, substance abuse, difficulty sleeping, increased
physical symptoms, decreased performance in school, absenteeism
and truancy, dropping out of school, and murder or suicide (Beran
& Li, 2005; Mitchell, Ybarra, & Finkelhor, 2007; Privitera &
Campbell, 2009; Ybarra, Diener-West, & Leaf, 2007).
Our purpose in the current article is threefold: (a) to provide a
narrative review of the extant research on cyberbullying among
youth,
1
including a look into the prevalence and antecedents of this
behavior and associated outcomes; (b) to synthesize the relation-
ships among cyberbullying, cybervictimization, and meaningful
behavioral and psychological variables with meta-analytic tech-
niques; and (c) to critique the existing research, noting areas where
findings conflict and gaps remain, thereby allowing us to provide
1
Although research has been conducted on cyberbullying in the work-
place, we focus on adolescents and young adults herein. First, the majority
of the research under review has focused on this particular group of
individuals. Second, because so little research has examined cyberbullying
in the workplace, we do not know whether the predictors/consequences of
cyberbullying are similar across the different samples.
This article was published Online First February 10, 2014.
Robin M. Kowalski, Department of Psychology, Clemson University;
Gary W. Giumetti, Department of Psychology, Quinnipiac University;
Amber N. Schroeder, Department of Psychology, Western Kentucky Uni-
versity; Micah R. Lattanner, Department of Psychology and Neuroscience,
Duke University.
Correspondence regarding this article should be addressed to Robin M.
Kowalski, Department of Psychology, Clemson University, Clemson, SC
29634. E-mail: rkowals@clemson.edu
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Psychological Bulletin © 2014 American Psychological Association
2014, Vol. 140, No. 4, 1073–1137 0033-2909/14/$12.00 DOI: 10.1037/a0035618
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