Examining the overlap in internet harassment and school bullying: implications for school intervention.
By Michele L. Ybarra, Marie Diener-West, P. Leaf. Journal of Adolescent Health, 2007
776 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Education, Social Psychology
View Paper: https://www.semanticscholar.org/paper/44df3d3ab659001b5e2c98472bf9b29e1c5d6904
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In Artificial Intelligence
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Citations in the corpus
- Attacking others online: The formation of cyberbullying in late adolescence. (2012, positive): “Six items from Ybarra, Diener-West, and Leaf (2007) had participants rate how often in the last year they cyberbullied others and were cyber-victimized by others on a 1 (never) to 6 (everyday/almost everyday) rating scale ( s .67).”
- Psychological Needs as a Predictor of Cyber Bullying: A Preliminary Report on College Students (2009, background): “Bullying is correlated with significant health and psychological issues among young people such as depression, emotional distress, low self-esteem, and poor academic achievement (Mason, 2008; Ybarra, 2004; Ybarra et al., 2007).”
- Cyberbullying definition and measurement: Some critical considerations (2009, background): “How can we define in the cyber context? Can we refer just to a higher technological ability of the bully or, conversely, to a higher rank position of the bullies in the virtual community? Wolak, Finkelhor, Mitchell, and Ybarra (2007) and Ybarra and Mitchell (2004), showed that in many cases youth ha”
- Anonymously hurting others online: The effect of anonymity on cyberbullying frequency. (2015, methodology): “The Ybarra et al. (2007) traditional bullying scale was used to assess frequency of traditional, or face-to-face, bullying.”
- Cyberbullying in context: Direct and indirect effects by low self-control across 25 European countries (2011, background): “Data from the United States further substantiate the problem; 8% of youth between the ages of 10 and 15 years report having been harassed on the internet monthly or more often (Ybarra, Diener-West, & Lief, 2007 ).”
- Bullying in the digital age: a critical review and meta-analysis of cyberbullying research among youth. (2014, background): “Ybarra, Diener-West, and Leaf (2007) found that students being harassed online also tended to have more detentions and suspensions, incidences of truancy, and weapon carrying.”
- Cyberbullying Prevalence, Stability, and Risk Factors During Adolescence (2013, result): “Some studies of cyberbullying have found similar results (Li, 2007a; Ybarra et al., 2007), while others have found that girls are victimized more often than boys (Dehue et al., 2008; Hinduja & Patchin, 2007; Kowalski & Limber, 2007; Li 2007b; Slonje & Smith, 2008; Smith et al., 2008; Wade & Beran,…”
- Cross-Cultural Differences in Cyberbullying Behavior (2014, methodology): “The Ybarra, Diener-West, and Leaf (2007) cyber behavior questionnaire was used to assess cyberbullying frequency.”
- Risk Factors for involvement in cyber bullying: Victims, bullies, and bully-victims (2012, background): “These results correspond with previous research findings which identify the effects of Internet harassment including psychological difficulties (Ybarra et al., 2007).”
- Cyber Bullying: Overview and Strategies for School Counsellors, Guidance Officers, and All School Personnel (2008, background): “Ybarra, Diener-West, and Leaf (2007) reported 55 ▲ that youth who were harassed online were also more likely to report two or more detentions or skipping school in the previous year.”