Although much literature has focused on prejudice-based traditional bullying, there are not a lot of studies about prejudice-based cyberbullying. This kind of cyberbullying reflects any form of cyberbullying based on a group affiliation or identity characteristics of the victim, often including historically marginalised and other “protected characteristics” (race, religion, disability, etc.). In this chapter, we focus on seven characteristics that were highlighted in previous research – family origin, skin colour, religion/belief, nationality/ethnicity, disability, poverty, and sexual orientation. We begin by reviewing research into prejudice-based cyberbullying and emphasise the main gaps in the existing knowledge. We then present our empirical findings based on an online study that contributes to filling these gaps: (a) the prevalence of prejudice-based cyberbullying and cybervictimisation at the cross-national level, across 17 countries and including culturally diverse samples (N = 5,215 high school students); and (b) the relationships of belonging to some of the marginalised groups (based on sex, nationality/ethnicity, religion, asylum status, and disability) with both prejudice-based cyberbullying and cybervictimisation. Finally, we refer to some suggestions for future research and conclude with the implications for prevention programmes based on the obtained results.

A Cross-National Perspective of Prejudice-Based Cyberbullying and Cybervictimisation / Dinić, Bojana M.; Bodroža, Bojana; Jovanović, Tamara; Hinić, Darko; Puharić, Zrinka; Puharić, Filip; Sperka, Roman; Bauerová, Radka; Kopřivová, Veronika; Iolanda Voda, Ana; Cautisanu, Cristina; Obadă, Daniel-Rareș; Iliev, Dean; Atanasova Pachemska, Tatjana; Angeleski, Marjan; Mazzucato, Annaleda; Van Assche, Jasper; Desmet, Ann; Gao, Shang; Xu, Bibo; Chen, Zhuo; Helmy, Mai; Osama, Esraa; Gad, Israa; Arató, Nikolett; Siegler, Anna; Kulcsár, Gabriella; Kohli, Neena; Kaur Chawla, Sarabjeet; Kumar, Vipul; Najamussaqib, Arooj; Amin, Rizwana; Kowal, Marta; Piskorz, Joanna; Szczygieł, Monika; Kornienko, Dmitriy; Veraksa, Alexander; Košir, Katja; Pivec, Tina; Peras, Igor; Chavanovanich, Jennifer; Suvanbenjakule, Piraorn; Ermagan-Caglar, Eda; Turk-Kurtca, Tugba; Hamzaoglu, Nurcan; Pyżalski Jacek Pyżalski 39 Jasper Van Assche 14, Jacek; 15, ; DeSmet 15, Ann; 16, ; Gao 17, Shang; Xu 18, Bibo; Chen 19, Zhuo; Helmy 20, Mai; 21, ; Osama 20, Esraa; 21, ; Gad 20, Israa; 21, ; Arató 22, Nikolett; Siegler 23, Anna; Kulcsár 24, Gabriella; Kohli 25, Neena; Kaur Chawla 25, Sarabjeet; Kumar 25, Vipul; Najamussaqib 26, Arooj; Amin 27 Marta Kowal 28, Rizwana; Piskorz 29, Joanna; Szczygieł 30, Monika; Kornienko 31, Dmitriy; 32, ; Veraksa 32, Alexander; Košir 33, Katja; Pivec 34, Tina; Peras 34 Jennifer Chavanovanich 35, Igor; Suvanbenjakule 35, Piraorn; Ermagan-Caglar 36, Eda; Turk-Kurtca 37, Tugba; Hamzaoglu 38 Jacek Pyżalski 39, Nurcan. - (2024). [10.4324/9781003439202-9]

A Cross-National Perspective of Prejudice-Based Cyberbullying and Cybervictimisation

Annaleda Mazzucato;
2024

Abstract

Although much literature has focused on prejudice-based traditional bullying, there are not a lot of studies about prejudice-based cyberbullying. This kind of cyberbullying reflects any form of cyberbullying based on a group affiliation or identity characteristics of the victim, often including historically marginalised and other “protected characteristics” (race, religion, disability, etc.). In this chapter, we focus on seven characteristics that were highlighted in previous research – family origin, skin colour, religion/belief, nationality/ethnicity, disability, poverty, and sexual orientation. We begin by reviewing research into prejudice-based cyberbullying and emphasise the main gaps in the existing knowledge. We then present our empirical findings based on an online study that contributes to filling these gaps: (a) the prevalence of prejudice-based cyberbullying and cybervictimisation at the cross-national level, across 17 countries and including culturally diverse samples (N = 5,215 high school students); and (b) the relationships of belonging to some of the marginalised groups (based on sex, nationality/ethnicity, religion, asylum status, and disability) with both prejudice-based cyberbullying and cybervictimisation. Finally, we refer to some suggestions for future research and conclude with the implications for prevention programmes based on the obtained results.
2024
9781003439202
A Cross-National Perspective of Prejudice-Based Cyberbullying and Cybervictimisation / Dinić, Bojana M.; Bodroža, Bojana; Jovanović, Tamara; Hinić, Darko; Puharić, Zrinka; Puharić, Filip; Sperka, Roman; Bauerová, Radka; Kopřivová, Veronika; Iolanda Voda, Ana; Cautisanu, Cristina; Obadă, Daniel-Rareș; Iliev, Dean; Atanasova Pachemska, Tatjana; Angeleski, Marjan; Mazzucato, Annaleda; Van Assche, Jasper; Desmet, Ann; Gao, Shang; Xu, Bibo; Chen, Zhuo; Helmy, Mai; Osama, Esraa; Gad, Israa; Arató, Nikolett; Siegler, Anna; Kulcsár, Gabriella; Kohli, Neena; Kaur Chawla, Sarabjeet; Kumar, Vipul; Najamussaqib, Arooj; Amin, Rizwana; Kowal, Marta; Piskorz, Joanna; Szczygieł, Monika; Kornienko, Dmitriy; Veraksa, Alexander; Košir, Katja; Pivec, Tina; Peras, Igor; Chavanovanich, Jennifer; Suvanbenjakule, Piraorn; Ermagan-Caglar, Eda; Turk-Kurtca, Tugba; Hamzaoglu, Nurcan; Pyżalski Jacek Pyżalski 39 Jasper Van Assche 14, Jacek; 15, ; DeSmet 15, Ann; 16, ; Gao 17, Shang; Xu 18, Bibo; Chen 19, Zhuo; Helmy 20, Mai; 21, ; Osama 20, Esraa; 21, ; Gad 20, Israa; 21, ; Arató 22, Nikolett; Siegler 23, Anna; Kulcsár 24, Gabriella; Kohli 25, Neena; Kaur Chawla 25, Sarabjeet; Kumar 25, Vipul; Najamussaqib 26, Arooj; Amin 27 Marta Kowal 28, Rizwana; Piskorz 29, Joanna; Szczygieł 30, Monika; Kornienko 31, Dmitriy; 32, ; Veraksa 32, Alexander; Košir 33, Katja; Pivec 34, Tina; Peras 34 Jennifer Chavanovanich 35, Igor; Suvanbenjakule 35, Piraorn; Ermagan-Caglar 36, Eda; Turk-Kurtca 37, Tugba; Hamzaoglu 38 Jacek Pyżalski 39, Nurcan. - (2024). [10.4324/9781003439202-9]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/959322
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