New bottle but old wine: A research of cyberbullying in schools
By Qing Li. Computers in Human Behavior, 2007
977 citations recorded by the source corpus.
This study investigates the nature and the extent of adolescences' experience of cyberbullying. A survey study of 177 grade seven students in an urban city is conducted. In this paper, ''cyberbullying'' refers to bullying via electronic communication tools. The results show that almost 54% of the students were victims of traditional bullying and over a quarter of them had been cyber-bullied. Almost one in three students had bullied others in the traditional form, and almost 15% had bullied others using electronic communication tools. Almost 60% of the cyber victims are females, while over 52% of cyber-bullies are males. Majority of the cyber-bully victims and bystanders did not report the incidents to adults.
Subfields: Communication, Education, Social Psychology
View Paper: https://www.semanticscholar.org/paper/7d7335fe0aa1de2ee76448a02fd730e2b2853a81
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Christopher P. Barlett
- Maite Garaigordobil
- Robert S. Tokunaga
- Özgür Erdur-Baker
- Faye Mishna
- Justin W. Patchin
- Sameer Hinduja
- William J. Fremouw
In Education
- Robin M. Kowalski
- Christopher P. Barlett
- David P. Farrington
- Maite Garaigordobil
- Heidi Vandebosch
- Robert S. Tokunaga
- Kjartan Ólafsson
- Gary W. Giumetti
In Social Psychology
- David P. Farrington
- Robin M. Kowalski
- A. Baldry
- Christopher P. Barlett
- Maite Garaigordobil
- Susan P. Limber
- Debra Pepler
- Robert S. Tokunaga
Citations in the corpus
- Cyberbullying perpetration and victimization among adolescents in Hong Kong (2014, background): “Some studies found that a high percentage of cyber-victims had no idea who their cyberbullies were (Li, 2005, 2007; Wolak et al., 2007) or merely suspected that the cyberbullies were peers from school (Juvonen & Gross, 2008).”
- Longitudinal Risk Factors for Cyberbullying in Adolescence (2013, methodology): “and are partly in line with those of Patchin and Hinduja (2010), who found that cyberbullies had lower levels of self-esteem.”
- Modeling the Detection of Textual Cyberbullying (2011, background): “A lot of research in the social sciences has been devoted to understanding the causes of cyberbullying and the extent of its prevalence, especially for children and young adults [13].”
- Cyber bullying: A new face of peer bullying (2007, neutral): “Li, 2005).”
- High School Teachers' Perceptions of Cyberbullying Prevention and Intervention Strategies. (2012, background): “(pp. 41-42) Self-reported rates of adolescent students who are cyberbullied range from 10% of students in the United Kingdom (Smith et al., 2008) to 25% of students in Canada (Li, 2006, 2007).”
- Cyberbullying Prevalence, Stability, and Risk Factors During Adolescence (2013, background): “Nonetheless, given that previous research has identified the overlap between traditional and cyber forms of bullying (Dehue et al., 2008; Li, 2007b; Raskauskas & Stoltz, 2007; Smith et al., 2008), traditional bullying prevention programs may also influence cyberbullying involvement.”
- Following you home from school: A critical review and synthesis of research on cyberbullying victimization (2010, background): “…in victimization more than the other (Beran & Li, 2007; Didden et al., 2009; Hinduja & Patchin, 2008; Juvoven & Gross, 2008; Katzer et al., 2009; Li, 2006, 2007a; Patchin & Hinduja, 2006; Topcu et al., 2008; Varjas et al., 2009; Williams & Guerra, 2007; Wolak et al., 2007; Ybarra, 2004; Ybarra…”
- Prevalence, Psychological Impact, and Coping of Cyberbully Victims Among College Students (2012, background): “A sample of seventh-grade students ( n = 461) in both Canada and China completed the same questionnaire and found one in three students had been a victim of cyberbullying ( Li, 2007b ).”
- Urban Middle School Students' Perceptions of Bullying, Cyberbullying, and School Safety (2009, background): “, prevalence, frequency, types, characteristics of bullies and victims) and the impact of cyberbullying on school age children (Beran & Li, 2005; Li, 2007; Patchin & Hinduja, 2006). Therefore, the studies reviewed here include a broad age range including school age children through adolescents. Li (”
- Measuring Bullying Victimization, Perpetration, and Bystander Experiences: A Compendium of Assessment Tools (2014, background): “Although research indicates that adolescents are more likely to be bullied in person rather than online (e.g., Li, 2007), the effects of these online bullying experiences are not trivial and are often similar to those associated with in-person bullying (Hinduja & Patchin, 2009).”
- A longitudinal study of cyberbullying: Examining riskand protective factors (2012, background): “Even though prior studies have provided evidence for an overlap between school-bullying and cyberbullying (Beran & Li, 2005; Li, 2007), cyberbullying differs from school-bullying in that it allows for limitless boundaries, an infinite audience, and the anonymity of the perpetrator (Patchin & Hinduja”
- Cyberbullying in High Schools: A Study of Students' Behaviors and Beliefs about This New Phenomenon (2010, background): “Another study of 177 seventh-grade students in Canada showed a similar pattern ( Li, 2007 ).”