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Medijska Istraživanja
Article . 2022 . Peer-reviewed
Data sources: Crossref
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Prevalence, Forms, and Predictors of Cyberbullying Perpetration

Prevalencija, oblici i prediktori elektroničkog nasilja
Authors: Trbojević, Filip; Šikuten, Lucija;

Prevalence, Forms, and Predictors of Cyberbullying Perpetration

Abstract

With the spread of social interactions from the physical into the “electronic world”, a new form of bullying has emerged among children and young people – cyberbullying. Cyberbullying is bullying through the use of information and communication technologies. Given that the safety of children on the Internet is one of the main preoccupations of parents, educational experts and the media in the digital age, in this paper we investigate the prevalence rate, forms and predictors that encourage children to commit this type of bullying. The research was conducted by surveying 269 students (5th and 8th graders), from two elementary schools in Zagreb. The results show that in the last two months 24,5 % of students found themselves in the role of cyberbullies, that the most common forms of this behaviour are saying ugly things, mocking, and ignoring others on social media platforms, and that its most important predictors are traditional bullying perpetration, affirmative attitude towards violence, cyberbullying victimization, poorer school performance and authoritarian parenting. The authors conclude that the key to preventing cyberbullying lies in the cooperation of educational experts, students, parents and the media, as well as their adaptation to the changing cyber environment.

Širenjem socijalnih interakcija iz fizičkog u „elektronički svijet“, među djecom i mladima pojavio se novi oblik nasilja koji se ostvaruje putem informacijsko-komunikacijskih tehnologija – elektroničko nasilje. S obzirom na to da je sigurnost djece na internetu jedna od glavnih preokupacija roditelja, odgojnih stručnjaka i medija u digitalnom dobu, u ovom smo radu istražili stopu prevalencije, pojavne oblike i prediktore koji potiču djecu na činjenje ove vrste nasilja. Istraživanje je provedeno metodom ankete na uzorku od 269 učenika 5. i 8. razreda dviju zagrebačkih osnovnih škola. Rezultati pokazuju da se u posljednja dva mjeseca 24,5 % učenika našlo u ulozi činitelja elektroničkog nasilja, da su njegovi najzastupljeniji oblici govorenje ružnih stvari, ruganje i ignoriranje drugih na društvenim mrežama, a njegovi najvažniji prediktori činjenje klasičnog nasilja, afirmativan stav o nasilju, doživljavanje elektroničkog nasilja, slabiji školski uspjeh te autoritaran odgojni stil roditelja. Autori zaključuju da ključ prevencije činjenja elektroničkog nasilja leži u suradnji nastavnika, stručnih suradnika, učenika, roditelja, ali i medija, te o njihovoj prilagodbi promjenjivome elektroničkom okruženju.

Country
Croatia
Related Organizations
Keywords

prevencija, multiple regression analysis, electronic media, elektroničko nasilje, cyberbullying, elektronički mediji, predictors, prevention, cyberbullying ; electronic media ; multiple regression analysis ; predictors ; prevention, multipla regresijska analiza, prediktori

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green
gold