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The use of information and communication technology (ICT) has not only brought advantages to mankind. One downside is the emergence and increase of cyberbullying in schools. Affecting students of all ages, teachers, parents, and other educators, this special form of bullying is an increasing challenge for schools. This article offers an overview of the current state of research regarding prevalence and forms of cyberbullying; its psychosocial correlates in victims, bullies, and bully-victims; possible avenues for prevention and intervention approaches for school practitioners; and implications for future research.
School Psychology
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DOI: 10.1177/0143034312445241
2012 33: 467School Psychology International
Nandoli von Marées and Franz Petermann
Cyberbullying: An increasing challenge for schools
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DOI: 10.1177/0143034312445241
An increasing challenge
for schools
Nandoli von Mare
State Education Authority Donaueschingen, Germany
Franz Petermann
University of Bremen, Germany
The use of information and communication technology (ICT) has not only brought
advantages to mankind. One downside is the emergence and increase of cyberbullying
in schools. Affecting students of all ages, teachers, parents, and other educators, this
special form of bullying is an increasing challenge for schools. This article offers an
overview of the current state of research regarding prevalence and forms of cyberbully-
ing; its psychosocial correlates in victims, bullies, and bully-victims; possible avenues for
prevention and intervention approaches for school practitioners; and implications for
future research.
bullying, cyberbullying, cybervictims, information and communication technology (ICT),
intervention, prevention, schools
Deborah, a friendly, slightly shy 5th grader, was referred to a school psychologist
by her class teacher due to a high rate of sick days. Deborah often experienced
intense stomach aches in the morning which led her to either avoid going to school
all together or—if the pain started during school time—to get her mother to pick
her up again. Over the course of counselling with Deborah and her mother, it
became clear that she dreaded being ostracized, as she had once been, with no
one to play with during breaks. Her fears intensified when someone took on her
identity in a popular social network for students and started posting offensive
messages to pupils from her class in her name. This experience, though eventually
Corresponding author:
Nandoli von Mare
´es, School Psychology Counselling Centre, State Education Authority Donaueschingen,
Irmastraße 7-9, 78166 Donaueschingen, Germany
terminated through school and police intervention, traumatized her to such an
extent that she refused to visit her school ever again, not trusting any of her
former classmates anymore and fearing a reoccurrence at any time.
Definition of cyberbullying
Deborah’s experience is one example of cyberbullying—a phenomenon which
appears in many forms and is exercised via a multitude of modes. Definitions of
cyberbullying vary, but most researchers agree that it is an intentional, repeated,
and aggressive act or behaviour carried out by a group or individual employing
information and communication technology (ICT) as an instrument. The acts go
against a victim who cannot easily defend him or herself or terminate the bullying
(Smith et al., 2008; Vandebosch & Van Cleemput, 2008; Wolak, Mitchell, &
Finkelhor, 2007). While cyberbullying has many similarities with traditional bully-
ing, the issues of repetition and power imbalance are less easy to define, as for
example an embarrassing picture, once uploaded to a website, can be viewed
repeatedly, thereby creating on-going humiliation. As to power imbalance, many
cybervictims experience helplessness if their bully remains anonymous and often
there is no getting away from cyberbullying, as technology-based interactions can
take place any time, and in any place (Dooley, Pyzalski, & Cross, 2009; Slonje &
Smith, 2008). Another aspect distinguishing cyberbullying is anonymity, with
cyberbullies able to remain unidentified behind their computer screen or cell
phone and to aggress against their victims even when they are physically far
away (Spears, Slee, Owens, & Johnson, 2009). This physical distance may help
to disinhibit cyberbullies, making it easier to say or write things they normally
would not in a face-to-face interaction. In sum, technology allows potential bullies
to distance themselves from their victim and disperse harmful material to a larger
audience than ever before (Patchin & Hinduja, 2011).
Forms of cyberbullying
Cyberbullying is bullying via the use of internet, mobile phone, or a combination of
both, and the modes chosen have diversified (e.g., bullying by phone call, text
messages, instant messaging (IM), emails, posting or sending embarrassing
photos or video clips, creating ‘hate-websites’). In order to intervene successfully,
it is important that school personnel know about the different forms cyberbullying
may take. Willard (2007) has offered an alternative classification according to the
cyberbullying action itself, independent of the medium employed. She described
‘flaming’ which includes heated arguments through emails, IM, or in chat rooms,
during which rude, offensive, or threatening messages are relayed. ‘Harassment’
implies repeatedly sending insulting, hurtful messages, while ‘cyberstalking’
involves consistent harassment and threats of physical harm, to a degree that the
victim starts fearing for his or her safety. ‘Denigration’ is posting mean, untrue, or
harmful material (text, photos, or videos) about or of someone in order to harm his
468 School Psychology International 33(5)
or her reputation, damage friendships, or to humiliate. During ‘impersonation’,
another’s identity is used to send or post material of insulting, inappropriate, or
embarrassing content in order to damage the reputation or the friendships of the
target (as in Deborah’s case). ‘Outing’ is forwarding or publicly posting personal
information or images of someone else, especially such material containing private,
potentially embarrassing information. ‘Trickery’ can be a part of outing, occurring
when a person is tricked into revealing private, potentially embarrassing informa-
tion, believing that this is intended for the recipient only, while the cyberbully
intends to share the material with others. ‘Exclusion’ occurs when someone is
intentionally left out or barred from an online group or community, for example
from IM buddy lists or an online gaming community. The Willard classification is
by no means complete. New forms of cyberbullying continuously evolve, as can be
seen from a recent investigation by Paul, Smith, and Blumberg (2012). As can be
deduced from these examples, cyberbullying appears in relational and social forms
of bullying, which can be direct or indirect, and involve both overt and covert acts
of bullying with technology (Archer & Coyne, 2005; Spears et al., 2009)
Prevalence rates
Prevalence rates of cyberbullying and cybervictimization vary strongly, depending
on the type of informant assessed (e.g., victims, peers, teachers), the definition and
instrument on which assessment is based, the age group investigated, gender of
participants, and rate of internet and mobile phone use, to name only the most
important factors. General statements about prevalence are therefore difficult to
make, but due to the increased use of information and communication technology
over the past years, cyberbullying in its many forms has become more frequent
(Li, 2006; Ortega, Elipe, Mora-Mercha
´n, Calmaestra, & Vega, 2009) with mobile
phones (call, text message) and instant messaging on the internet being the most
frequent media of cyberbullying (Smith et al., 2008; Sourander et al., 2010). The
fact that some studies have found up to one-third or more of students to have
experienced cyberbullying seems to suggest that this phenomenon is becoming a
part of many children’s everyday experience and is much more widespread than
most educators and students think (Cassidy, Brown, & Jackson, 2012; Cassidy,
Jackson, & Brown, 2009; Li, 2006). As Kowalski, Morgan, and Limber (2012)
confirm, there seems to be a small but significant overlap between traditional
and cyberbullying, as well as between traditional and cybervictimization, with per-
petrators and/or targets of cyberbullying often involved in traditional bullying
forms as well (Erdur-Baker, 2010; Skrzypiec, Slee, Murray-Hanrvey, & Perreira,
2011; Vandebosch & Van Cleemput, 2009). This overlap between involvement in
cyberbullying and traditional bullying can already be found among children
between 7 and 11 years of age, where Monks, Robinson, and Worlidge (2012)
found that children were most likely to take the same role (i.e., bully or victim)
in traditional and cyberbullying. One hypothesis regarding this relation is that
bullying begins at school and is then continued via communication technologies
von Mare
´es and Petermann 469
(Sourander et al., 2010). While victims of traditional bullying still seem to outnum-
ber cybervictims, cyberbullying may gradually substitute traditional forms (Ortega
et al., 2009). However, Sakellariou, Carrol, and Houghton (2012) warn that an
increase in cyberbullying does not imply that traditional bullying forms are becom-
ing less prevalent and less destructive.
Considering age trends reported, involvement in cyberbullying as perpetrator or
victim seems to increase over the age range from 10 to 16 years (Smith et al., 2008;
Ybarra & Mitchell, 2004), possibly reflecting the increased use of information and
communication technology by adolescents. In conclusion of their findings,
Sakellariou et al. (2012) suggest that cyberbullying seems to be more prevalent
during the compulsory school years than during the late secondary years when
adolescents focus more on realizing their academic goals (see also Slonje &
Smith, 2008). When it comes to gender differences, researchers have reported dif-
ferent results, with some studies finding no gender differences (e.g., Ybarra &
Mitchell, 2004), some reporting girls to be victims and perpetrators of cyberbully-
ing more often (e.g., Smith et al, 2008; Wolak et al., 2007) and some finding boys to
be more involved in both cyberbullying and cybervictimization (Li, 2006; Popovic
´, Djuric
´, & Cvetkovic
´, 2011).
Risk factors associated with cyberbullying
Researchers only recently have begun to investigate risk factors for engagement in
cyberbullying. According to the internet-enhanced self-disclosure hypothesis, com-
puter-mediated and online communication result in more and more intimate self-
disclosure (Valkenburg & Peter, 2009). This might have the positive effect of
enhancing relationship quality of existing friendships, which can in turn promote
well-being. The downside is that students who provide very personal information
of and about themselves become more vulnerable to cyberbullying, where this
information is used against them. Support for this hypothesis can be deduced
from the finding that many cybervictims exhibit frequent and risky internet
usage (Erdur-Baker, 2010; Smith et al., 2008; Vandebosch & Van Cleemput,
2009). Additionally, the reduced visual and auditory cues in computer-mediated
communication and the potential anonymity behind the screen might disinhibit
potential cyberbullies.
Katzer, Fetchenhauer, and Belschak (2009) discovered a strong relationship
between traditional victimization in school and cybervictimization, with school
victims being seen significantly more often among victims of chat room bullying.
Findings by Kowalski et al. (2012) support this correlation, leading these research-
ers to conclude that the risk of being involved in cyberbullying is greater if
youth are frequently involved in traditional bullying at school. The best pre-
dictor for cyberbullying was found to be cybervictimization and vice versa, mean-
ing that students involved as bullies have a high risk of be victimized, while
cybervictims often become cyberbullies as well. The direction of this influence is
yet unclear.
470 School Psychology International 33(5)
Students whose normative beliefs approve of overt and relational aggression are
more likely to be aggressive online (Ang, Tan, & Mansor, 2010; Werner, Bumpus,
& Rock, 2010) and those involved in cyberbullying on a regular basis show less
empathetic responsiveness (Steffgen, Ko
¨nig, Pfetsch, & Melzer, 2011) and perspec-
tive taking. Patchin and Hinduja (2011) found evidence that students experiencing
stressful life events and the negative emotions these evoke were more likely to
participate in bullying and cyberbullying. As shown in research on risk factors
of traditional bullying, most of these relationships seem bidirectional in nature,
with risk factors and bullying or victimization influencing and aggravating each
other reciprocally (Perren & Alsaker, 2006; Von Mare
´es & Petermann, 2010).
This leads us to psychosocial correlates of cyberbullying.
Impact and consequences of different forms of cyberbullying vary and are mod-
erated by factors such as social acceptance (Boulton, Smith, & Cowie, 2010), social
integration (Jones, Manstead, & Livingstone, 2011), effectiveness of coping strate-
gies employed (Parris, Varjas, Meyers, & Cutts, 2011; Skrzypiec et al., 2010), or
self-blaming attributions (Baumann, 2010). Overall, the psychosocial correlates of
cyberbullying seem to be in line with studies on the impact of bullying on students.
Even though cyberbullying may for the most part not last as long as traditional
bullying, its damaging effects have been shown to be comparable, if not greater.
Researchers hypothesize that the increased negative effects are due to the fact that
cyberbullying incidents can occur anywhere and at any time, potentially be wit-
nessed by a large, mostly unknown, limitless audience, and theoretically remain in
cyberspace permanently, thereby creating repeated and on-going victimization
(Kowalski & Limber, 2007, Smith et al., 2008). Additionally, cyberbullies can
easily conceal their identity, which might heighten the power imbalance and add
to the impact their negative acts have on their targets. Overall, cyberbullying seems
much too complex to be described as ‘simply being conventional bullying trans-
ferred behind the screens via e-technologies’ (Spears et al., 2009, p. 192).
Being the victim of cyberbullying can evoke strong negative emotions, including
fear and helplessness, feeling vulnerable and alone, it can diminish self-worth and
seriously disrupt relationships (Baumann, 2010; Boulton et al., 2010; Spears et al.,
2009). As Monks et al. (2012) have found, children in primary school already view
cyberbullying negatively and are aware that victims’ emotions can be impacted
negatively. Cybervictims have been shown to experience more emotional and
peer-problems, more psychosomatic complaints (headaches, abdominal pain),
and more sleeping difficulties. Being a cyberbully has been associated with more
hyperactive behaviour and conduct problems, and less prosocial peer group behav-
iour. Youth experiencing cyberbullying, as either offender or victim, feel less safe at
school and uncared for by teachers (Sourander et al., 2010), have a lower self-
esteem, more suicidal thoughts, and are more likely to attempt suicide than those
not involved in cyberbullying (Patchin & Hinduja, 2010a, 2010b). Most psycho-
somatic and psychiatric problems were discovered among those who were both
cyberbullies and cybervictims (Gradinger, Strohmeier, & Spiel, 2009; Sourander
et al., 2010). However, the impact of cyberbullying on individuals and their families
von Mare
´es and Petermann 471
is not only psychological and emotional, it can also be physical, when it leads
to students not attending or changing school, moving towns and breaking-up rela-
tionships (Spears et al., 2009).
Prevention and intervention measures
To date, little research has been published on effective preventive measures and
interventions to reduce cyberbullying. Based on empirical evidence, researchers
suggest that programs for the prevention of cyberbullying should be incorporated
in school curricula and include thorough instruction on internet safety and online
conduct (Wolak et al., 2007). As Parris et al. (2011) have found, many students
believe that little or nothing can be done to reduce cyberbullying. Students there-
fore need knowledge of strategies and resources, including both reactive (e.g.,
delete, block or ignore messages) and preventive strategies (e.g., increased security
and awareness). Students who experience cyberbullying also need effective coping
skills (e.g., seeking social support) to reduce the associated stress and negative
emotions (Tenenbaum, Varjas, Meyers, & Parris, 2011). Surely all students
would profit if such coping skills were included in social skills programs in
school (Petermann & Petermann, 2011). Further, students and school personnel
require knowledge about effective means to counter cyberbullying (i.e., blocking
the perpetrator, reporting offensive material) as cyberbullying can seriously impact
students’ ability to be successful at school (Patchin & Hinduja, 2010a).
According to Ang et al. (2010), cyberbullying prevention and intervention efforts
should aim at modifying norms and beliefs of students—teaching that cyberbully-
ing in its various forms is neither legitimate nor acceptable. Findings on successful
prevention programs suggest that programs offering health education and teaching
emotional self-management competencies can positively influence students’ strain
level resulting from interpersonal conflicts (Patchin & Hinduja, 2011).
Students often do not report cyberbullying to school personnel or parents
because most believe that adults cannot help in such situations (Parris et al.,
2011; Tenenbaum et al., 2011). This implies that the provision of supportive stu-
dent-teacher-relationships and maintenance of an empathic, nonthreatening, posi-
tive school environment, with adults showing resources to successfully tackle
cyberbullying, and having open discussions about cyberbullying may improve stu-
dents’ confidence that seeking help from an adult could be helpful (Patchin &
Hinduja; 2011, Paul et al., 2012). Since many adults are still unaware of the numer-
ous negative potentials of (internet-ready) mobile phones and the internet, aware-
ness needs to be increased. Smith et al. (2008) suggest that cyberbullying should be
included in school anti-bullying policies and materials, in teacher preparation, and
parental guidance materials. Parents and teachers need to find adequate ways and
means to monitor children’s use of information and communication technology,
and the impact this has on their lives. As a survey by Ja
¨ger, Amado, Matos, and
Pessoa (2010) has shown, most experts agree that schools have a crucial role to play
in dealing with cyberbullying. Unfortunately, very few schools have incorporated
472 School Psychology International 33(5)
cyberbullying into their school curricula or school policy, or educated their staff
and students on ICT and cyberbullying to date. A crucial prerequisite for all pre-
ventive and intervention measures is teacher knowledge about the extent and forms
of cyberbullying and effective anti-bullying measures. As Cassidy et al. (2012) have
shown, many teachers are unaware of the prevalence of cyberbullying among their
students, and even if teachers rank prevention as a priority and know about pos-
sible interventions, policies or programs are not automatically implemented in
Enabling students to speak about cyberbullying and allowing them to be part of
the solution seems one promising avenue for addressing this growing concern and
developing solutions (Cassidy et al., 2009). One possible method of achieving this,
the Quality Circle approach, has been developed by Paul et al. (2012) and is
described in this issue. From their work in schools, the authors conclude that
forms of bullying and cyberbullying alter over time. It therefore seems imperative
that intervention programmes can adapt to the varying nature of this behaviour in
order to remain effective.
Adults need to become sensitive to psychosocial risk factors and symptoms
associated with cyberbullying in order to identify possible perpetrators and victims
and intervene successfully (Kowalski et al, 2012; Sourander et al., 2010). With third
generation, internet-ready phones readily available to an increasing percentage of
students, this seems a growing challenge. The boundaries between students’ school
and private life are disappearing through the use of communication technologies,
with conflicts occurring at school continued online and by anyone. For school
leadership and communities in general, this implies that prevention and interven-
tion efforts need more comprehensive strategies (e.g., Englander, 2012; Olweus &
Limber, 2010; Spears et al., 2009). From extensive research on bullying, we now
have a fairly good overview of what constitutes effective bullying prevention and
intervention measures—requiring on-going, systematic efforts on individual,
school, and community levels. However, when it comes to cyberbullying, more
research is needed on which components of anti-bullying programs constitute
effective preventive and intervention measures.
Ang, R. P., Tan, K. A., & Talib Mansor, A. (2010). Normative beliefs about aggression as a
mediator of narcissistic exploitativeness and cyberbullying. Journal of Interpersonal
Violence,26, 2619–2634. doi: 10.1177/0886260510388286.
Archer, J., & Coyne, S. M. (2005). An integrated review of indirect, relational and social
aggression. Personality and Social Psychology Review,9, 212–230. doi: 10.1207/
Bauman, S. (2010). Cyberbullying in a rural intermediate school: An exploratory study. The
Journal of Early Adolescence,30, 803 – 833. doi: 10.1177/0272431609350927.
Boulton, M. J., Smith, P. K., & Cowie, H. (2010). Short-term longitudinal relation-
ships between children’s peer victimization/bullying experiences and self-perceptions.
von Mare
´es and Petermann 473
Evidence for reciprocity. School Psychology International,31, 296–311. doi: 10.1177/
Cassidy, W., Brown, K. N., & Jackson, M. (2012). ‘Under the radar’: Educators and cyber-
bullying in schools. School Psychology International,33(5), 520–532.
Cassidy, W., Jackson, M., & Brown, K. N. (2009). Sticks and stones can break my bones,
but how can pixels hurt me?: Students’ experiences with cyber-bullying. School
Psychology International,30, 383–402. doi: 10.1177/0143034309106948.
Dooley, J. J., Pyzalski, J., & Cross, D. (2009). Cyberbullying versus face-to-face bulling: A
theoretical and conceptual review. Zeitschrift fu
¨r Psychologie/Journal of Psychology,217,
182–188. doi:10.1027/0044-3409.217.4.182.
Englander, E. K. (2012). Spinning our wheels: Improving our ability to respond to bullying
and cyberbullying. Child and Adolescent Psychiatric Clinics of North America,21, 43–55.
doi: 10.1016/j.chc.2011.08.013.
Erdur-Baker, O
¨(2010). Cyberbullying and its correlation to traditional bullying, gender and
frequent and risky usage of internet-mediated communication tools. New Media Society,
12, 109–125. doi: 10.1177/1461444809341260.
Gradinger, P., Strohmeier, D., & Spiel, C. (2009). Traditional bullying and cyberbullying:
Identification of risk groups for adjustment problems. Zeitschrift fu
¨r Psychologie/Journal
of Psychology,217, 205–213. doi: 10.1027/0044-3409.217.4.205.
¨ger, T., Amado, J., Matos, A., & Pessoa, T. (2010). Analysis of experts’ and trainers’ views
on cyberbullying. Australian Journal of Guidance and Counselling,20, 169–181.
Jones, S. E., Manstead, A. S., & Livingstone, A. G. (2011). Ganging up or sticking together?
Group processes and children’s responses to text-message bullying. British Journal of
Psychology,102, 71–96. doi:10.1348/000712610X502826.
Katzer, C., Fetchenhauer, D., & Belschak, F. (2009). Cyberbullying: Who are the victims?: A
comparison of victimization in internet chat rooms and victimization in school. Journal of
Media Psychology: Theories, Methods, and Applications,21, 25–36. doi:10.1027/1864-
Kowalski, R. M., & Limber, S. P. (2007). Electronic bullying among middle
school students. Journal of Adolescent Health,41, 22–30. doi: 10.1016/
Kowalski, R. M., Morgan, C.A., & Limber, S. P. (2012). Traditional bullying as a potential
warning sign of cyberbullying. School Psychology International,33(5), 505–519.
Li, Q. (2006). Cyberbullying in schools: A research of gender differences. School Psychology
International,27, 157–169. doi: 10.1177/0143034306064547.
Monks, C. P., Robinson, S., & Worlidge, P. (2012). The emergence of cyberbullying; a
survey of primary school pupils’ perceptions and experiences. School Psychology
International,33(5), 477–491.
Olweus, D., & Limber, S. P. (2010). Bullying in school: Evaluation and dissemination of the
Olweus Bullying Prevention Program. American Journal of Orthopsychiatry,80, 124–134.
Ortega, R., Elipe, P., Mora-Mercha
´n, J. A., Calmaestra, J., & Vega, E. (2009). The emo-
tional impact on victims of traditional bullying and cyberbullying: A study of Spanish
adolescents. Zeitschrift fu
¨r Psychologie/Journal of Psychology,217, 197–204. doi:
Parris, L., Varjas, K., Meyers, J., & Cutts, H. (2011). High school students’ perceptions of
coping with cyberbullying. Youth Society. doi: 10.1177/0044118X11398881.
474 School Psychology International 33(5)
Paul, S., Smith, P. K., & Blumberg, H. H. (2012). Revisiting cyberbullying in schools using
the quality circle approach. School Psychology International,33(5), 492–504.
Patchin, J. W., & Hinduja, S. (2010a). Cyberbullying and self-esteem. Journal of School
Health,80, 614–21. doi: 10.1111/j.1746-1561.2010.00548.x.
Patchin, J. W., & Hinduja, S. (2010b). Bullying, cyberbullying, and suicide. Archives of
Suicide Research,14, 206–21. doi:10.1080/13811118.2010.494133.
Patchin, J. W., & Hinduja, S. (2011). Traditional and nontraditional bullying among youth:
A test of general strain theory. Youth Society,43, 727–751. doi:10.1177/
Perren, S., & Alsaker, F. D. (2006). Social behavior and peer relationships of victims, bully–
victims, and bullies in kindergarten. Journal of Child Psychology and Psychiatry,47,
45–57. doi:10.1111/j.1469-7610.2005.01445.x.
Petermann, F., & Petermann, U. (2011). Pra
¨vention (Prevention). Kindheit und Entwicklung,
20, 197–200. doi:10.1026/0942-5403/a.0000556.
´, B., Djuric
´, S., & Cvetkovic
´, V. (2011). The prevalence of cyberbullying
among adolescents: A case study of middle schools in Serbia. School Psychology
International,32, 412–424. doi:10.1177/0143034311401700.
Sakellariou, T., Carroll, A., & Houghton, S. (2012). Rates of cyber victimization and bully-
ing among male Australian primary and high school students. School Psychology
International,33(5), 533–549.
Skrzypiec, G., Slee, P., Murray-Harvey, R., & Pereira, B. (2010). School bullying by one or
more ways: Does it matter and how do students cope. School Psychology International,
32, 288–311. doi:10.1177/0143034311402308.
Slonje, R., & Smith, P. K. (2008). Cyberbullying: Another main type of bullying?
Scandinavian Journal of Psychology,49, 147–154. doi:10.1111/j.1467-9450.2007.00611.x.
Smith, P. K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., & Tippett, N. (2008).
Cyberbullying: Its nature and impact in secondary school pupils. Journal of Child
Psychology and Psychiatry,49, 376–385. doi:10.1111/j.1469-7610.2007.01846.x.
Sourander, A., Brunstein Klomek, A., Ikonen, M., Lindroos, J., Luntamo, T., Koskelainen,
M., et al. (2010). Psychosocial risk factors associated with cyberbullying among adoles-
cents. A population-based study. Archives of General Psychiatry, 67, 720–728. doi:
Spears, B., Slee, P., Owens, L., & Johnson, B. (2009). Behind the scenes and screens: Insights
into the human dimension of covert and cyberbullying. Zeitschrift fu
¨r Psychologie /
Journal of Psychology,217, 189–196. doi: 10.1027/0044-3409.217.4.189.
Steffgen, G., Ko
¨nig, A., Pfetsch, J., & Melzer, A. (2011). Are cyberbullies less
empathic? Adolescents’ cyberbullying behavior and empathic responsiveness.
Cyberpsychology, Behavior, and Social Networking,14, 643–648. doi:10.1089/
Tenenbaum, L. S., Varjas, K., Meyers, J., & Parris, L. (2011). Coping strategies and per-
ceived effectiveness in fourth through eighth grade victims of bullying. School Psychology
International,32, 263–287. doi: 10.1177/0143034311402309.
Valkenburg, P. M., & Peter, J. (2009). Social consequences of the internet for adolescents: A
decade of research. Current Directions in Psychological Science,18, 1–5. doi:10.1111/
Vandebosch, H., & Van Cleemput, K. (2008). Defining cyberbullying: A qualitative research
into the perceptions of youngsters. CyberPsychology & Behavior,11, 499–503. doi:
von Mare
´es and Petermann 475
Vandebosch, H., & Van Cleemput, K. (2009). Cyberbullying among youngsters: profiles of
bullies and victims. New Media and Society,11, 1349–1371. doi:10.1177/
Von Mare
´es, N., & Petermann, F. (2010). Bullying in German primary schools: Gender
differences, age trends and influence of parents’ migration and educational backgrounds.
School Psychology International,31, 178–198. doi:10.1177/0143034309352416.
Werner, N. E., Bumpus, M. F., & Rock, D. (2010). Involvement in internet aggression
during early adolescence. Journal of Youth and Adolescence,39, 607–619. doi:10.1007/
Willard, N. E. (2007). Cyberbullying and cyberthreats: Responding to the challenge of online
social aggression, threats, and distress. Champaign, IL: Research Press.
Wolak, J., Mitchell, K. J., & Finkelhor, D. (2007). Does online harassment constitute
bullying? An exploration of online harassment by known peers and online-only contacts.
Journal of Adolescent Health,41, S.51–S58. doi: 10.1027/0044-3409.217.4.182.
Ybarra, M., & Mitchell, K. (2004). Online aggressor/targets, aggressors, and targets: A
comparison of associated youth characteristics. Journal of Child Psychology and
Psychiatry,45, 1308–1316. doi:10.1111/j.1469-7610.2004.00328.x.
Dr Nandoli von Mare
´es is a School Psychologist in Baden Wu
¨rttemberg, Germany.
Apart from counseling students, parents, and teachers, she advises schools on
prevention issues, and trains school counselors. She earned her doctoral degree
from the University of Bremen in 2009, doing research on bullying and bullying
assessment in pre- and primary school. Address: State Education Authority
Donaueschingen, School Psychology Counseling Service, Irmastraße 7–9, 78166
Donaueschingen, Germany. Email:
Professor Dr Franz Petermann is Chair in Clinical Psychology, Director of the
Centre for Clinical Psychology and Rehabilitation, University of Bremen. His
research interests include clinical child psychology, behavioural therapy in children
and rehabilitation research. Address: Centre for Clinical Psychology and
Rehabilitation, Department of Psychology, University of Bremen, Grazer Str. 6,
28359 Bremen, Germany. Email:
476 School Psychology International 33(5)
... Chan y Wong (2017) aseguran que aquellos estudiantes con mayor empatía, autoestima, comportamiento prosocial y buena cohesión familiar y escolar desarrollan estrategias emocionales con las que hacer frente de manera efectiva al ciberacoso (Von Marées y Petermann, 2012;Sittichai y Smith, 2018). Sin embargo, aunque una buena competencia emocional ayuda a que el alumnado supere eficazmente situaciones de ciberacoso o que no se plantee realizarlas por sus consecuencias, la duda persiste en qué lleva a cometerlos y a qué puede estar ligado. ...
Full-text available
La trascendencia que tienen las interacciones en línea en el desarrollo de los jóvenes hace necesario analizar el papel que juegan las competencias emocionales en este contexto. En este artículo se analizan algunas de las situaciones de riesgo que pueden desarrollar los jóvenes, el ciberacoso y el abuso de las redes, y que tienen relaciones con la gestión emocional en la red. Tras esto, se plantean dos aproximaciones teóricas útiles para analizar el comportamiento de los adolescentes en entornos virtuales. Por un lado, las e-competencias, entendidas como recursos personales clave que pueden ayudar a entender estas conductas problemáticas, y que pueden ser objeto de aprendizaje, y por otro, la inteligencia colectiva en entornos virtuales, un paradigma teórico y de investigación para el análisis de los procesos de interacción en grandes grupos. Tras la conceptualización teórica de ambos constructos, se presenta, en el primer caso, un modelo de e-competencias generado en la investigación con adolescentes que propone cinco tipos de e-competencias: e-conciencia emocional, e-regulación emocional, e-autocontrol de la impulsividad, e-autonomía emocional y e-competencia social. En el segundo caso, se expone el modelo de inteligencia colectiva desarrollado por investigadores del Bifi, herramienta útil para probar si un modelo de interacción en línea en grandes grupos puede permitir desarrollar competencias emocionales.
... A maioria dos autores definem ciberbullying como um ato ou comportamento agressivo, intencional e repetido, perpetrado por um indivíduo, utilizando as tecnologias para o efeito (Von Marées & Petermann, 2012), ato esse prejudicial para a reputação/ imagem de uma vítima que terá dificuldade em se defender, independentemente das estratégias de coping que utilizar para o fazer (Tokunaga, 2010). ...
O presente estudo teve como objetivo analisar a relação entre a cibervitimização (Cybervictimization Questionnaire – CYVIC) e a satisfação com o suporte social (Escala de Satisfação com o Suporte Social – ESSS). A amostra foi constituída por 346 participantes divididos em dois grupos: adolescentes (15-19 anos) e jovens adultos (20-30 anos). Verificaram-se associações negativas entre a satisfação com o suporte social e a cibervitimização. Os resultados sugerem diferenças ao nível das idades para as duas variáveis dependentes, com os adolescentes a apresentarem maior satisfação com a família do que os jovens adultos, e estes uma maior satisfação com as atividades sociais do que os adolescentes, e, finalmente, os participantes mais novos a estarem mais envolvidos na cibervitimização do que os mais velhos. Por fim, observou-se um papel preditor da satisfação com as atividades sociais sobre a cibervitimização. Assim, este estudo contribui para colmatar a pouca literatura que existe em Portugal acerca do ciberbullying, salientando a importância das relações sociais e, especialmente, do envolvimento em atividades de cariz social, mostrando uma clara necessidade de integrar os jovens na comunidade e na sociedade, dando-lhes a oportunidade de se envolverem em atividades e relações satisfatórias como forma de prevenção de comportamentos desajustados como é o caso do ciberbullying.
... Interestingly enough, the current study also revealed that 64.4% of the participants reported that the person who has bullied them on the Internet also bullies them offline (i.e., physical bullying) in schools. The relationship between cyberbullying and traditional bullying is inevitable and often cyber victims are also victims of traditional bullying [29]. The power imbalance between bullies and victims may result in the latter being labeled or perceived as weak students, thus, the school counselors or school authorities must consider introducing and implementing cyberbullying prevention and education campaigns that address both traditional bullying and cyberbullying, which frequently overlap, in an integrated manner. ...
Conference Paper
Full-text available
Cyberbullying is emerging as a serious concern in schools with the proliferation of digital and communication technologies. This cross-sectional survey study examined the cyberbullying experience, comprised of both cyberbullying perpetration and victimization, of 990 secondary school students in Malaysia, with a mean age of 15.22 years old (S.D. = 1.358). The Partial Least Squares-Structural Equation Modeling (PLS-SEM) approach was used to examine the posited research hypotheses and the results indicated that media exposure (β = 0.364, p = 0.00), environmental factors (β = 0.294, p = 0.00), and individual coping strategies (β = −0.075, p = 0.02) emerged as significant factors and explained 30.9% of cyberbullying perpetration and victimization experiences in Malaysia. Overall, 13.3% of the participants reported having experienced cyberbullying perpetration and victimization in the past 1 year. Educational intervention programs should be built to address and target the factors identified in this work.
... For example, the phenomenon of Cyberbullying. Cyberbullying is a student with low achievement (von Marées & Petermann, 2012). Therefore, educators must be careful in the selection of e-learning media and educators supervise student networks because there are negative and positive impacts. ...
Full-text available
The current study examined the role of moral disengagement in cyberbullying participant role behavior among college-aged individuals. Participants included 434 students who completed surveys measuring their participation in cyberbullying, including online bystander role behaviors, as well as their moral disengagement. Regression analysis results indicated that moral disengagement was positively associated with cyberbullying perpetration, cyberbullying victimization, passive bystanding online behavior, and reinforcing online behavior. The current study furthers knowledge on the associations between online bullying-related behavior and moral disengagement and could lead to necessary cyberbullying prevention and intervention support for young adults.
Bullying and cyberbullying bring adverse physical and psychological impacts on individuals and an economic burden for society. Scholars have developed anti-bullying intervention programs to combat these problems. This meta-analysis aims to examine and compare the effectiveness of digital health interventions (DHIs) in reducing bullying and cyberbullying. A comprehensive search was conducted using databases (PsycINFO, Social Service Abstracts, Sociological Abstracts, MEDLINE, ERIC, and EMBASE). Quasi-experimental and randomized controlled trials (RCTs) published before 31 January 2021 that reported the effects of DHIs in reducing bullying or cyberbullying were included. The 16 studies included in the synthesis reported overall random effect sizes (Cohen's d) for bullying and cyberbullying reduction were 0.41 and 0.19, respectively. The results provide evidence on the effectiveness of DHIs, comparable to that of face-to-face interventions. The subgroup analysis revealed that the critical components of effective DHIs include training on bystander and bully-victim dual roles, coping skills, and interactive serious games. It highlights the promising effects of digital health approaches in bullying and cyberbullying interventions. Our review identifies avenues for future research on the development of more effective DHIs to reduce bullying and cyberbullying.
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There is currently limited research on the relation between forms of empathy and subsequent cyberbullying in middle childhood, a stage in which cyberbullying behaviors are likely to develop. The purpose of this study was to examine the extent to which affective empathy (experiencing someone else’s emotions) and cognitive empathy (perspective-taking) predicted subsequent cyberbullying perpetration in middle childhood. Participants were 105 fourth- and fifth-grade students from two urban elementary schools (Mage = 9.66 years, SD = .68). The sample was 66% African American or Black, 15.2% biracial or multiracial, 7.6% Asian or Asian American, and 6.7% Hispanic or Latinx. The sample was evenly divided by gender (51.4% male). Youth completed surveys in the fall (time 1) and spring (time 2) of one school year. Contrary to hypotheses, affective empathy at time 1 did not uniquely predict any form of bullying perpetration (relational, overt, or cyber) at time 2. Cognitive empathy did not predict overt or relational bullying perpetration at time 2. However, higher cognitive empathy at time 1 predicted lower levels of cyberbullying perpetration at time 2. Results suggest promoting cognitive empathy should be a cyberbullying prevention strategy during middle childhood.
A gap in research on cyberbullying intervention strategies exists. The purpose of this study was to identify effective coping strategies for cyberbullying by interviewing cyberbullying survivors. The study used grounded theory qualitative methodology to allow data to fully emerge from participants’ perspectives. When analyzing the data, the researchers found that youth engaged in three types of coping: online coping, offline coping, and intrinsic coping. Online coping involved online interventions to stop active cyberbullying and prevent future cyberbullying; for example, youth limited who had access to their online accounts or blocked and reported cyberbullies. Offline coping included strategies that participants engaged in offline to minimize, tolerate, or cope with the effects of cyberbullying, such as talking about their experiences or reframing the way that they think about things. Finally, intrinsic coping described survivors’ personality traits or ways of being that aided them in developing such resilient coping strategies; for instance, possessing self-awareness and self-love contributed to survival. Accordingly, the findings contribute to the literature on effective coping strategies by confirming previously identified strategies, like online coping, and highlighting new ones, like intrinsic coping. The findings also help inform future counseling practices within schools.
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Bullying is not a phenomenon exclusive to the school environment. Pupils also become victims of verbal aggression (teasing, threats, insults, or harassment) in the context of internet chatrooms. The present study addresses the following questions: (1) How often does bullying occur in internet chatrooms? (2) Who are the victims of bullying in internet chatrooms? (3) What are the determinants of victimization in internet chatrooms? A total of 1700 pupils from various German secondary schools participated in the study. Results revealed a strong relationship between victimization in school and victimization in internet chatrooms; school victims are significantly more often chat victims. Furthermore, the predictors of chat and school victimization show both commonalities (gender, self-concept, child-parent relationship) and differences (social integration, popularity, and bullying behavior).
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Partners from nine European countries developed a cyberbullying training manual for the benefit of trainers working with parents, school staff and young people.1 The development of the training manual built on a two-level qualitative research process that combined elements of the Delphi method and online focus groups. The two studies outlined in this article aimed to assess trainers' and experts' views on the problem of cyberbullying while also gathering insight in relation to their preferences in terms of a training manual. This article outlines the main outcomes of a content analysis of experts' and trainers' views. According to experts and trainers, the sources of cyberbullying were specifically related to new technical developments and new patterns of usage, a lack of media literacy and media education, and the lack of appropriate laws, control and reporting mechanisms. Approaches for tackling cyberbullying suggested by experts and trainers included the provision of enhanced information on ICT and e-safety, adequate rules, monitoring mechanisms and sanctions. Furthermore a range of approaches targeting children and young people, parents and other adults, schools as well as approaches run by authorities and IT providers were suggested. In terms of the elements and style of a training manual, experts and trainers emphasised that it should be practically oriented, and that elements like narratives, case examples or video clips would be vital for the implementation of training.
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Cyberbullying can have a variety of negative effects on student mental health (Internet Safety Technical Task Force, 2008). An understanding of students’ coping with cyberbullying could help researchers and professionals to determine ways to alleviate and/or prevent the negative effects of cyberbullying. Qualitative methods were used to provide an in-depth examination of coping with cyberbullying. The results revealed three primary coping themes as follows: reactive coping, preventive coping, and no way to prevent cyberbullying. Reactive coping included avoiding the cyberbully situation by deleting or ignoring messages. Preventive coping strategies included talk in person and increased security and awareness. Some students reported that there was no way to reduce cyberbullying. These strategies were interpreted in terms of current theories of coping and findings suggested a need for a new comprehensive model of coping with cyberbullying. In addition, implications for future research and practice were discussed.
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The prevalence and nature of electronic forms of bullying (cyberbullying) was investigated among 1,530 primary and secondary school aged male students (Years 6 to 12; 9-18 years, chronologically) in Sydney and Brisbane, Australia. Findings revealed that victimization via the Internet was the most common form of cyberbullying with 11.5 percent of students reporting at least one experience of it during the school year. A significant main effect was found, with junior secondary school students (Years 8 to 10) the most likely to be victimized in this manner. With regard to the cyberbullying of others, the Internet was again the most commonly employed method, with 8.5 percent of students reporting using it. A main effect was evident between year levels for all four forms of cyberbullying investigated. The transmission of electronic images was the least reported form of cyberbullying experienced (4.8 percent) and the least frequently perpetrated form of cyberbullying (3.7 percent), which is less than the only other study conducted reporting such data. These findings are discussed in the light of the relatively limited cyberbullying research undertaken to date.
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Educators play an important role in preventing cyberbullying and encouraging positive online behaviour. In this article we report on the educator portion of a study of cyberbullying at two large, technology-rich secondary schools in Canada. We discuss 17 educators’ experiences with cyberbullying, their knowledge of social networking technology, the priority they place on preventing cyberbullying, and the remedies they suggest. Qualitative analyses of taped interview responses to 16 open-ended questions revealed that they were unaware of the extent of cyberbullying among their students and although they saw prevention as a priority, and were able to pose possible solutions, no policies or programs had been implemented, even by the younger teachers, who were more technologically savvy. Nor were the educators interested in learning the results of the student portion of our research, preferring instead that cyberbullying remain under their radar.
Der frühzeitigen Prävention kommt eine immer größere Bedeutung zu. Auf der Basis zunehmender Kenntnisse über normale und abweichende Entwicklungsverläufe lassen sich altersspezifische und entwicklungsbezogene Präventionsprogramme besser begründen und schließlich erfolgreich umsetzen. Ein besonderer Fokus liegt auf Fördermaßnahmen, die bereits im Kindergartenalter ansetzen, wie etwa die Stärkung der sozial-emotionalen Kompetenzen. Jedoch haben sich mittlerweile auch schulbasierte Programme etabliert.
Although traditional bullying and cyberbullying share features in common, they differ in important ways. For example, cyberbullying is often characterized by perceived anonymity and can occur any time of the day or night. Conversely, perpetrators of traditional bullying are known to the victim, and most traditional bullying occurs at school. Yet, some researchers have suggested that involvement in the two types of bullying may be related. However, little research has modeled the system of relationships among the perpetration and victimization of traditional bullying and cyberbullying. The present study uses path analysis to arrive at a suitable model of these relationships, and describes the gender differences in these relationships. Students (N = 4,531) in grades 6 through 12 completed a survey examining their involvement in traditional bullying and cyberbullying. Analysis proceeded by making fit comparisons among hypothesized path models. More frequent traditional bullying perpetration and victimization were associated with higher frequency of their electronic counterparts. However, the relationship between traditional perpetration and victimization was stronger for females than males as was the effect of traditional victimization on cyber-victimization. Implications for school practitioners are presented.
An earlier study reported the use of Quality Circles (QC) in a UK school in the context of understanding and reducing bullying and cyberbullying. Here, we report further work in the same school setting. The QC approach allows explorative analysis of problems in school settings, whereby students embark on a problem-solving exercise over a period of time. The process involves identifying key issues and prioritizing concerns, analysing problems and generating solutions, through participation in a series of workshops. The purpose of this research was to explore further the use of QCs as an effective means of gathering information on bullying and cyberbullying in school, and how these might have changed over one academic year; as well as to examine the use of QCs in empowering pupils and in producing pupil-led solutions. This study validated the use of QCs as an engaging process for pupils (N = 30) which encourages a range of suggested solutions to problems. The information gained from the QCs supported a transitory notion of bullying behaviour, whereby forms of bullying and cyberbullying continue to alter over time, thus prevention programmes must adapt to the changeable nature of this behaviour to remain effective.
There is little research that has examined cyberbullying among children under the age of 11years. The current study explored the nature and extent of the phenomenon among primary school children aged 7- to 11-years-old (N = 220; 116 boys and 104 girls) and investigated their perceptions of the distress caused to victims, how victims would feel, and their recommendations to victims for coping strategies. Participants completed a modified version of Ortega, Calmaestra, and Mora-Merchán’s (2007) and Smith et al.’s (2008a) bullying and cyberbullying questionnaire. The results indicated that cyberbullying is used and experienced by some children in this age group, with some age and gender differences in these experiences. Cyberbullying is generally viewed negatively and children are aware that it may have a negative impact on the emotions of victims. There is some overlap between involvement in cyberbullying and traditional bullying; with children most likely to take the same role (i.e., traditional bully and cyberbully or traditional victim and cybervictim) across the two settings. The most commonly endorsed coping strategy for victims was to tell someone, which is in line with government guidance to schools. The findings are discussed in relation to research with secondary school pupils as well as addressing potential implications for interventions with this age group.