Cited by 15Bullying, Victimization, and AggressionImpact of Technology on AdolescentsHate Speech and Cyberbullying Detection

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Online social marketing approaches to inform cyber/bullying prevention and intervention: What have we learnt?

Spears, Barbara A., Taddeo, Carmel, Barnes, Alan·2018·Reducing Cyberbullying in Schools

Overview

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Crossref · 10.1016/b978-0-12-811423-0.00006-7

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7 of 7 references verified0 citation errors · 0 not checkable

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Citations

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Research works printed but not linked: 25

  1. Barlett, 2017, From theory to practice: Cyberbullying theory and its application to intervention, Computers in Human Behavior, 72, 269, 10.1016/j.chb.2017.02.060 · DOI
  2. Connolly, 2014, Technology-enabled bullying and adolescent resistance to report: the need to examine causal factors, Interactive Technology and Smart Education, 11, 86, 10.1108/ITSE-04-2014-0003 · DOI
  3. Cortes, 2014, To tell or not to tell: what influences children’s decisions to report bullying to their teachers?, School Psychology Quarterly, 29, 336, 10.1037/spq0000078 · DOI
  4. Della Cioppa, 2015, Learning from traditional bullying interventions: A review of research on cyberbullying and best practice, Aggression and Violent Behavior, 23, 61, 10.1016/j.avb.2015.05.009 · DOI
  5. Doane, 2014, Predictors of cyberbullying perpetration among college students: An application of the theory of reasoned action, Computers in Human Behavior, 36, 154, 10.1016/j.chb.2014.03.051 · DOI
  6. Jiménez-Barbero, 2016, Effectiveness of anti-bullying school programs: A meta-analysis, Children and Youth Services Review, 61, 165, 10.1016/j.childyouth.2015.12.015 · DOI
  7. Kowalski, 2014, Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth, Psychological Bulletin, 140, 1073, 10.1037/a0035618 · DOI · Paper page
  8. Lee, 2008, Social connectedness, extraversion, and subjective well-being: Testing a mediation model, Personality and Individual Differences, 45, 414, 10.1016/j.paid.2008.05.017 · DOI
  9. Menesini, 2017, Bullying in schools: The state of knowledge and effective interventions, Psychology, Health & Medicine, 1
  10. Merrell, 2008, How effective are school bullying intervention programs? A meta-analysis of intervention research, School Psychology Quarterly, 23, 26, 10.1037/1045-3830.23.1.26 · DOI
  11. Patchin, 2011, Traditional and nontraditional bullying among youth: A test of general strain theory, Youth and Society, 43, 727, 10.1177/0044118X10366951 · DOI
  12. Perugini, 2001, The role of desires and anticipated emotions in goal‐directed behaviors: Broadening and deepening the theory of planned behavior, British Journal of Social Psychology, 40, 79, 10.1348/014466601164704 · DOI
  13. Polanin, 2012, A meta-analysis of school-based bullying prevention programs' effects on bystander intervention behavior, School Psychology Review, 41, 47, 10.1080/02796015.2012.12087375 · DOI
  14. Prochaska, 1983, Stages and processes of self-change in smoking: Toward an integrative model of change, Journal of Consulting and Clinical Psychology, 5, 390, 10.1037/0022-006X.51.3.390 · DOI · Paper page
  15. Rigby, 2011, Is school bullying really on the rise?, Social Psychology of Education, 14, 441, 10.1007/s11218-011-9158-y · DOI
  16. Schultze‐Krumbholz, 2016, Feeling cybervictims’ pain—The effect of empathy training on cyberbullying, Aggressive Behavior, 42, 147, 10.1002/ab.21613 · DOI
  17. Smith, 2008, Cyberbullying: Its nature and impact in secondary school pupils, Journal of Child Psychology and Psychiatry, 49, 376, 10.1111/j.1469-7610.2007.01846.x · DOI · Paper page
  18. Smith, 2012, Effectiveness of school-based programs to reduce bullying: A commentary, Journal of Experimental Criminology, 8, 433, 10.1007/s11292-012-9142-3 · DOI
  19. Smith, 2004, The effectiveness of whole-school anti-bullying programs: A synthesis of evaluation research, School Psychology Review, 33, 547, 10.1080/02796015.2004.12086267 · DOI
  20. Spears, 2009, Behind the scenes and screens: Insights into the human dimension of covert and cyberbullying, Zeitschrift für Psychologie/Journal of Psychology, 217, 189, 10.1027/0044-3409.217.4.189 · DOI
  21. Spears, 2015, Cyberbullying, help-seeking and mental health in young Australians: Implications for public health, International Journal of Public Health, 60, 219, 10.1007/s00038-014-0642-y · DOI
  22. Thompson, 2012, Anti-bullying strategies in schools: What is done and what works, British Journal of Educational Psychology, 2, 154
  23. Vreeman, 2007, A systematic review of school-based interventions to prevent bullying, Archives of Pediatrics & Adolescent Medicine, 161, 78, 10.1001/archpedi.161.1.78 · DOI
  24. Waasdorp, 2015, The overlap between cyberbullying and traditional bullying, Journal of Adolescent Health, 56, 483, 10.1016/j.jadohealth.2014.12.002 · DOI
  25. Yeager, 2015, Declines in efficacy of anti-bullying programs among older adolescents: Theory and a three-level meta-analysis, Journal of Applied Developmental Psychology, 37, 36, 10.1016/j.appdev.2014.11.005 · DOI · Paper page

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Metadata

Authors
Spears, B. A., Taddeo, C., & Barnes, A.
Affiliations
University of South Australia (AU)
Venue
Reducing Cyberbullying in Schools
Publisher
Elsevier
Published
2018
Pages
75-94
OpenAlex
W2786963563
Cited by
15
References
7
Citations by year
2026: 1 · 2025: 2 · 2023: 2 · 2022: 2 · 2021: 2 · 2020: 5 · 2019: 1
FWCI
10.53
Type
book chapter
Language
en
Open access
closed
Locations
  • Elsevier eBooks (publishedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
Funders
Australian Government
Topics
  • Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
Keywords
cyberbullying, cyberbullying prevention, school-based intervention, youth co-design, protective factors, help-seeking, goal setting, social norms, perceived control, digital campaigns, youth online behavior, well-being

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