Literature DB >> 28979217

Perceived Severity of Cyberbullying: Differences and Similarities across Four Countries.

Benedetta E Palladino1, Ersilia Menesini1, Annalaura Nocentini1, Piret Luik2, Karin Naruskov3, Zehra Ucanok4, Aysun Dogan5, Anja Schultze-Krumbholz6, Markus Hess6, Herbert Scheithauer6.   

Abstract

Cyberbullying is a ubiquitous topic when considering young people and internet and communication technologies (ICTs). For interventional purposes, it is essential to take into account the perspective of adolescents. This is the reason why our main focus is (1) investigating the role of different criteria in the perceived severity of cyberbullying incidents, and (2) examining the differences between countries in the perceived severity of cyberbullying. The sample consisted of 1,964 adolescents (48.2% girls) from middle and high schools of four different countries, i.e., Estonia, Italy, Germany, and Turkey. The participants' age ranged from 12 to 20 years old with a mean age of 14.49 (SD = 1.66) years. To assess perceived severity, participants rated a set of 128 scenarios, which systematically included one or more of five criteria (intentionality, repetition, imbalance of power, public vs. private, and anonymity) and represented four types of cyberbullying behaviors (Written-Verbal, Visual, Exclusion, Impersonation). The role of different criteria was analyzed using the Exploratory Structural Equation Modeling (ESEM). Results showed a similar structure across the four countries (invariant except for the latent factors' means). Further, criteria of imbalance of power and, to a lesser extent, intentionality, anonymity, and repetition always in combination, were found to be the most important criteria to define the severity of cyberbullying. Differences between countries highlighted specific features of Turkish students, who perceived all scenarios as more severe than adolescents from other countries and were more sensitive to imbalance of power. German and Italian students showed an opposite perception of anonymity combined with intentionality. For Italian participants, an anonymous attack was less threatening than for participants of other countries, whereas for German students anonymity caused more insecurity and fear. In addition, Italian adolescents were more perceptive of the criterion of intentionality. Finally, Estonian adolescents did not show strong differences in their factor scores compared to adolescents from the other countries.

Entities:  

Keywords:  ESEM; adolescents; cross-national comparison; cyberbullying; exploratory structural equation modeling; perceived severity

Year:  2017        PMID: 28979217      PMCID: PMC5611493          DOI: 10.3389/fpsyg.2017.01524

Source DB:  PubMed          Journal:  Front Psychol        ISSN: 1664-1078


  21 in total

1.  Cyberbullying: the challenge to define.

Authors:  Colette Langos
Journal:  Cyberpsychol Behav Soc Netw       Date:  2012-06

2.  The emotional impact of bullying and cyberbullying on victims: a European cross-national study.

Authors:  Rosario Ortega; Paz Elipe; Joaquin A Mora-Merchán; M Luisa Genta; Antonella Brighi; Annalisa Guarini; Peter K Smith; Fran Thompson; Neil Tippett
Journal:  Aggress Behav       Date:  2012-07-10       Impact factor: 2.917

Review 3.  Model selection and psychological theory: a discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC).

Authors:  Scott I Vrieze
Journal:  Psychol Methods       Date:  2012-02-06

4.  Cyberbullying: its nature and impact in secondary school pupils.

Authors:  Peter K Smith; Jess Mahdavi; Manuel Carvalho; Sonja Fisher; Shanette Russell; Neil Tippett
Journal:  J Child Psychol Psychiatry       Date:  2008-04       Impact factor: 8.982

5.  Psychometric properties of the Florence CyberBullying-CyberVictimization Scales.

Authors:  Benedetta Emanuela Palladino; Annalaura Nocentini; Ersilia Menesini
Journal:  Cyberpsychol Behav Soc Netw       Date:  2015-01-19

Review 6.  Bullying in schools: the state of knowledge and effective interventions.

Authors:  Ersilia Menesini; Christina Salmivalli
Journal:  Psychol Health Med       Date:  2017-01-24       Impact factor: 2.423

7.  Risk factors associated with impact severity of cyberbullying victimization: a qualitative study of adolescent online social networking.

Authors:  Rebecca Dredge; John F M Gleeson; Xochitl de la Piedad Garcia
Journal:  Cyberpsychol Behav Soc Netw       Date:  2014-03-10

8.  Bystanders' responses to offline bullying and cyberbullying: The role of empathy and normative beliefs about aggression.

Authors:  Hana Machackova; Jan Pfetsch
Journal:  Scand J Psychol       Date:  2016-04

9.  "It's common sense that it's wrong": young people's perceptions and experiences of cyberbullying.

Authors:  Jo Bryce; James Fraser
Journal:  Cyberpsychol Behav Soc Netw       Date:  2013-06-07

10.  Associations among bullying, cyberbullying, and suicide in high school students.

Authors:  Sheri Bauman; Russell B Toomey; Jenny L Walker
Journal:  J Adolesc       Date:  2013-01-16
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  7 in total

1.  Analysis of Moral Disengagement as a Modulating Factor in Adolescents' Perception of Cyberbullying.

Authors:  Isabel Cuadrado-Gordillo; Inmaculada Fernández-Antelo
Journal:  Front Psychol       Date:  2019-05-28

2.  Dialogic Model of Prevention and Resolution of Conflicts: Evidence of the Success of Cyberbullying Prevention in a Primary School in Catalonia.

Authors:  Beatriz Villarejo-Carballido; Cristina M Pulido; Lena de Botton; Olga Serradell
Journal:  Int J Environ Res Public Health       Date:  2019-03-14       Impact factor: 3.390

3.  How to Stop Victims' Suffering? Indirect Effects of an Anti-Bullying Program on Internalizing Symptoms.

Authors:  Benedetta Emanuela Palladino; Annalaura Nocentini; Ersilia Menesini
Journal:  Int J Environ Res Public Health       Date:  2019-07-23       Impact factor: 3.390

4.  Coping strategies, stigmatizing attitude, and cyberbullying among Chinese college students during the COVID-19 lockdown.

Authors:  Fan Yang; Jian Sun; Jiaying Li; Shoujun Lyu
Journal:  Curr Psychol       Date:  2022-02-20

5.  Artificial Intelligence to Address Cyberbullying, Harassment and Abuse: New Directions in the Midst of Complexity.

Authors:  Tijana Milosevic; Kathleen Van Royen; Brian Davis
Journal:  Int J Bullying Prev       Date:  2022-02-25

6.  Cyberbullying Among Adolescent Bystanders: Role of Affective Versus Cognitive Empathy in Increasing Prosocial Cyberbystander Behavior.

Authors:  Julia Barlińska; Anna Szuster; Mikołaj Winiewski
Journal:  Front Psychol       Date:  2018-05-30

7.  Divergent Perceptual Processes on Cyberbullying Between Victims and Aggressors: Construction of Explanatory Models.

Authors:  Inmaculada Fernández-Antelo; Isabel Cuadrado-Gordillo
Journal:  Front Psychol       Date:  2018-03-26
  7 in total

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