Women and cyberbullying | ||||
| International Journal of Childhood and Women’s Studies | ||||
| Article 4, Volume 2, Issue 1, January 2022, Page 49-58 PDF (1.33 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ijcws.2022.222380 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Azza Khalil Abdel-Fattah | ||||
| Faculty of Women for Arts, Science & Education, Ain Shams University, Egypt | ||||
| Abstract | ||||
| This paper is searching the phenomena of cyberbullying on social platforms, the problem's size and dimensions, and the most vulnerable population targeted by bully. The paper also shed light on psychological background of the bully and victim, the conditions that provide opportunities for spreading this phenomenon. At the end, suggestions were presented to confronting this problem that threat societal peace, and derived recommendations. | ||||
| Keywords | ||||
| Keywords: cyberbullying; bully; women; self-esteem; well-being | ||||
| References | ||||
|
Agarwal, N. (2020). DNA Exclusive: Women soft target of cyberbullying online violence on social media. Zee media Bureau. https://zeenews.india.com/india/dna-exclusive-women-soft-target-of-cyberbullying-online-violence-on-social-media-2315338.html Bruwaene, D. V., Huang, Q. & Inkpen, D. A (2020). Multi-platform dataset for detecting cyberbullying in social media. Lang Resources & Evaluation 54, 851–874 https://doi.org/10.1007/s10579-020-09488-3 Kumari, K.; and Singh, J. P. (2019). Identification of cyberbullying on multi-modal social media posts using genetic algorithm. Wileyonlinelibrary.com/journal/ett. Kumari, K., & Singh, J.P. (2021). Identification of cyberbullying on multi-modal social media posts using genetic algorithm. Transactions on Emerging Telecommunications Technologies, 32. https://doi.org/10.1002/ett.3907 Kumari, K.; Singh, J. P.; Dwivedi, Y. K.; and Ran, N. P. (2020). Towards cyberbullying – free social media in smart cities: A unified multi-modal approach. Soft computing 24:11059-11070 Lowe, Brian (2019). Girls three times more likely to be victims of cyberbullying. https://www.globaltimes.cn/page/201910/1166555.shtml Maheshwari, R. (2020). In one year alone, cyberbullying of Indian women and teenagers rose by 36% . https://scroll.in/article/956085/in-one-year-alone-cyberbullying-of-indian-women-and-teenagers-rose-by-36 Salome, C. (2021). Cyberbullying of women: The long road for victims in Moroco. https://azickia.org/cyberbullying-of-women-the-long-road-for-victims-in-morocco?lang=en Shulthan, J.; and Scott, S. D. (2015). Prevalence and effect of cyberbullying on children and young people: A scoping review of social media studies. https://www.researchgate.net/publication1279066476 Taylor, S., DiFranzo, D., Choi, Y. H., Sannon, S., and Bazarova, N. (2019). Accountability and Empathy by Design: Encouraging Bystander Intervention to Cyberbullying on Social Media. In Proceedings of the ACM on Human-Computer Interaction (CSCW ’19). Article No.: 118pp. 1–26. https://doi.org/10.1145/3359220 Wang, S. (2021). Standing up or standing by: Bystander intervention in cyberbullying on social media. New media & society. Vol, 23(6) 1379-1397. Whittaker, E.& Kowalski, R.M. (2015). Cyberbullying via social media. Journal of social Violence. Vol. 14, Issue 1: New Direction in Cyberbullying Research. Yao, M., Chelmis, C., Zois, D.S. (2019). Cyberbullying ends here: Towards robust detection of cyberbullying in social media. The World Wide Web Conference, vol. 13, pp. 3427–3433 | ||||
|
Statistics Article View: 435 PDF Download: 354 |
||||
