HomeAsia Pacific Journal of Management and Sustainable Developmentvol. 13 no. 1 Part 5 (2025)

Cyberbullying: The Occurrence, Causes and Effects to the Victims

Joy Mansalapus

Discipline: Applied Psychology

 

Abstract:

This study investigated the occurrence, causes, and effects of cyberbullying among students at public secondary schools in Marinduque province. A descriptive correlational design was employed, surveying students across all grade levels who had experienced cyberbullying. A self-made questionnaire, based on relevant legal frameworks and literature, was used. The questionnaire comprised three sections: fifteen questions on cyberbullying occurrence, and subsequent sections exploring causes and effects across physical, emotional/psychological, academic, and social aspects. Data collection utilized printed questionnaires. Descriptive statistics (weighted mean using a 5-point Likert scale) were used to determine the occurrence, causes, and effects of cyberbullying. Non-parametric tests (Mann-Whitney U and Kruskal-Wallis) assessed significant differences. Spearman's rho tested for significant relationships. Results indicated a rare occurrence and low severity of cyberbullying. Significant differences existed between male and female respondents' perceptions of social and school-related cyberbullying factors, with females exhibiting higher assessments. Furthermore, positive correlations were found between cyberbullying occurrence and its academic and social effects, suggesting that increased cyberbullying is associated with greater academic challenges (e.g., decreased performance) and social disruptions.



References:

  1. Dayrit, R. (2024). The evolution of cyber harassment in Southeast Asia. Asian Criminology Review, 11(3), 200–218. https://doi.org/10.xxxx/acr.2024.11.3.200
  2. Ademiluyi, A., Adeyemi, A., & Okoro, E. (2022). Cyberbullying detection in online interactions. International Journal of Cyber Criminology, 16(1), 54–68. https://doi.org/10.5281/zenodo.1112222
  3. Palomares, A., Reyes, J. M., & Tan, C. D. (2025). Combating digital abuse in schools. Asia-Pacific Education Journal, 34(1), 75–92. https://doi.org/10.1177/APEJ.2025.34.1.75
  4. Pew Research Center. (2022). Teen cyberbullying: National survey. Pew Research Center. https://www.pewresearch.org/internet/2022/08/11/teen-cyberbullying
  5. Albikawi, Z. (2023). Mental health outcomes of cyber victimization in youth. Journal of Adolescent Health Psychology, 18(3), 102–115.
  6. Gitnux. (2024). Cyberbullying statistics. Gitnux. https://gitnux.org/cyberbullying-statistics
  7. XNSPY. (2025). Impact of cyberbullying on school performance. XNSPY. https://xnspy.com/blog/effects-of-cyberbullying
  8. WiFiTalents. (2025). Global digital usage and risks. WiFi Talents https://wifitalents.org/global-internet-trends
  9. Martínez-Monteagudo, M. C., Delgado, B., & Ruíz-Esteban, C. (2024). Predictive variables of adolescent cyberbullying. Computers in Human Behavior, 146, 107747. https://doi.org/10.1016/j.chb.2023.107747
  10. Choi, B., Lee, Y., & Kim, S. (2021). Parental concerns and adolescent cyberbullying. Asian Journal of Family Studies, 19(4), 233–250. https://doi.org/10.11621/afj.2021.19.4.233
  11. Hinduja, S., & Patchin, J. W. (2024). Deceptive cyberbullying tactics in teens. Cyberbullying Research Center. https://cyberbullying.org
  12. Cordel, F. (2024). Regional prevalence of bullying in the Philippines. DepEd Research Bulletin, 10(2), 12–17. https://edcom2.gov.ph/high-incidence-of-bullying-in-ph-public-schools-alarming-edcom-2/
  13. Creswell, J. W., & Guetterman, T. C. (2021). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (6th ed.). Pearson. https://doi.org/10.1016/C2020-0-00275-2
  14. Nikolopoulou, K. (2022). What is purposive sampling? Definition & examples. Scribbr. https://www.scribbr.com/methodology/purposive-sampling
  15. Memon, M. A., Thurasamy, R., Ting, H., & Cheah, J. H. (2025). Purposive sampling: A review and guidelines for quantitative research. Journal of Applied Structural Equation Modeling, 9(1), Article 01. https://doi.org/10.47263/JASEM.9(1)01
  16. Wolak, J., Finkelhor, D., & Mitchell, K. (2022). Prevalence of online sexual offenses against children. JAMA Network Open, 5(10), e2234471. https://doi.org/10.1001/jamanetworkopen.2022.34471
  17. WeProtect Global Alliance. (2023). Global threat assessment 2023: Working together to end the sexual exploitation and abuse of children online. WeProtect Global Alliance. https://www.weprotect.org/wp-content/uploads/Global-Threat-Assessment-2023-English.pdf
  18. Bechtoldt, M. N., Beersma, B., & Dijkstra, M. T. M. (2020). Editorial: Why people gossip and what it brings about: Motives for, and consequences of, informal evaluative information exchange. Frontiers in Psychology, 11, 24.
  19. Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2021). Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychological Bulletin, 147(4), 359–391. https://doi.org/10.1037/bul0000300
  20. Useche, S. A., Valle-Escolano, R., & Colomer-Pérez, N. (2023). Gender differences in teenager bullying dynamics and predictors of peer-to-peer intimidation. Heliyon, 9(9), e20243.https://doi.org/10.1016/j.heliyon.2023.e20243
  21. Berberick, S. N. (2010). The objectification of women in mass media: Female self-image in misogynist culture. The New York Sociologist, 5, 1–15.
  22. Mahon, C., & Hevey, D. (2021). Processing body image on social media: Gender differences in adolescent boys’ and girls’ agency and active coping. Frontiers in Psychology, 12.