Article #1 Cyberbullying and Cyberbullicide

A study was conducted in Jordan investigating the impact of cyberbullying on youth cyberbullicide. This relates to the social sciences as this falls within the scope of the top seven reasons cybercrime is committed. It may also fall into one or more of the four types of psychological theories psychodynamic, cognitive, behavioral and personality. The study explored the relationship between cyberbullying and cyberbullicide ideation among 1,000 Jordanian students, examining factors such as victimization, perpetration, and self-control. Results indicated that 26% of participants experienced cyberbullying, with significant awareness of victims and perpetrators. Logistic regression analysis demonstrated that cyberbullying variables accounted for a complete change in cyberbullicide ideation, supporting the hypothesis that victimization can lead to such ideation.

Measurements and Research
These 1000 Jordanian students came from 12 different governorates, selected randomly from different colleges and year levels.
“Of these, 454 (45.4%) were males, and 546 (54.6%) were females. The sample comprised of 496 students (49.6%) from science colleges and 504 students (50.4%) from other colleges. Around a quarter of the sample (26%) were exposed to bullying, 9% knew victims of bullying on the university campus, and 36% outside the campus. Around a quarter (26%) of the sample experienced violence (Al-Badayneh).”
The method of data collection was via cybersecurity’s favorite method, surveys. The measurement scales were based on a No as 0 through Most Frequently as 5 (0-5). Then there were also subscales, exposure to cyberbullying, knowledge of the victims, knowledge of the perpetrators, all with yes or no (1-0) scale. There were also historic violence measures, exposure to or participation in. And finally dependent measures, i.e. suicide measures wishing to die, loss of hope, no interest in life, death wish and ideation. The data was analyzed using descriptive statistics and logistic regression, machine learning, to assess how independent variables cyberbullying explained any variance in the dependent variable cyberbullicide ideation with yes or no (1-0) scale. The sample included participants with nearly equal representation from science and other colleges (49.6% vs. 50.4%). Most students reported praying (95%), and over a quarter (26%) had engaged in fights and experienced cyberbullying. Less than 10% (9.3%) were aware of cyberbullying incidents, while 35.8% reported occurrences outside campus. Additionally, 13.5% knew cyberbullying perpetrators, with 33% reporting incidents off-campus. Approximately half (45.3%) experienced feelings of depression or hopelessness, 32.8% expressed a willingness to die, and 30% reported cyberbullicide ideation. The logistic regression focused on the variance explained by cyberbullying in relation to cyberbullicide ideation.

Conclusion
The primary thing to take away from this study is that the young peoples’ widespread use of technology was the primary facilitating factor that led to cyber bullying. The students are both victim to and perpetrators of the cyberbullying which cause new waves of cyberbullicide. The great thing about the data for this study though, is it is truly from the perspective of the students. Studies like these will need to lead to creation of safe online environments, the primary way for that to occur would be with education and awareness.


Article Reference Link
https://cybercrimejournal.com/menuscript/index.php/cybercrimejournal/article/view/329/98

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