Department of Psychology, Pennsylvania State University, State College, PA 16802, USA.
Faculty of Social Studies, Masaryk University, 60200 Brno, Czech Republic.
Int J Environ Res Public Health. 2020 Feb 17;17(4):1293. doi: 10.3390/ijerph17041293.
The purpose of the present study was to investigate the role of gender and gender stereotype traits (masculinity, femininity) in cyber victimization behaviors (cyber relational victimization, cyber verbal victimization, hacking) through different technologies (mobile phones, gaming consoles, social networking sites). There were 456 8th graders (226 females; M age = 13.66, SD = 0.41) from two midwestern middle schools in the United States included in this study. They completed questionnaires on their endorsement of masculine and feminine traits, and self-reported cyber victimization through different technologies. The findings revealed main effects of types of cyber victimization for boys and of technology for girls. In particular, boys with feminine traits experienced the most victimization by cyber verbal aggression, cyber relational aggression, and hacking when compared to the other groups of boys. Girls with feminine traits experienced the most cyber victimization through social networking sites, gaming consoles, and mobile phones in comparison to the other groups of girls. For girls with feminine traits, they reported more cyber relational victimization and cyber verbal victimization through mobile phones and social networking sites, as well as more hacking via social networking sites. Such findings underscore the importance of considering gender stereotype traits, types of victimization, and technologies when examining cyber victimization.
本研究旨在通过不同技术(手机、游戏机、社交网站)探讨性别和性别刻板印象特征(男性化、女性化)在网络受害行为(网络关系受害、网络言语受害、黑客行为)中的作用。研究对象为来自美国两所中西部中学的 456 名八年级学生(女生 226 名,男生 230 名;M 年龄=13.66,SD=0.41)。他们完成了关于男性化和女性化特征的问卷,并通过不同技术报告了自己的网络受害情况。研究结果显示,网络受害类型对男生和技术对女生均有主要影响。具体而言,与其他男生群体相比,具有女性化特征的男生遭受网络言语攻击、网络关系攻击和黑客行为的受害最多。与其他女生群体相比,具有女性化特征的女生通过社交网站、游戏机和手机遭受的网络受害最多。对于具有女性化特征的女生而言,她们通过手机和社交网站报告了更多的网络关系受害和网络言语受害,并且通过社交网站报告了更多的黑客行为。这些发现强调了在研究网络受害时考虑性别刻板印象特征、受害类型和技术的重要性。