Article Review #1: How Does Cyber-Victimization Negatively Affect Emotions, and What Are the Possible Solutions?
By: Elizabeth Howard
CYSE 201S
Due 2/16/25 11:59pm
I chose to read the article Impact of Cyber-Victimization’s on Anger and Frustration: Role of AI, E-Governance, and Cyberbullying Coping (Aliane & Mirzaliev, 2024), which explores the intersection of technology, psychology, and sociology. The article examines how cyberbullying impacts the emotions of its victims, particularly anger and frustration, and investigates the potential role of AI and e-governance in mitigating these negative effects. By addressing five key hypotheses, the authors provide a comprehensive analysis of how these factors influence victims’ psychological well-being. The article is well-researched, employing various research methods to support its conclusions, and offers valuable insights that could significantly contribute to enhancing the benefits of a digital society.
Social Science Principles
This article connects to the social sciences in several ways, focusing on both psychology and sociology. As stated in Impact of Cyber-Victimization’s on Anger and Frustration: Role of AI, E-Governance, and Cyberbullying Coping, “The study highlights the critical role of integrating technological and institutional frameworks to address psychological consequences of cyber threats” (Aliane & Mirzaliev, 2024, Abstract, para. 1). The article specifically examines how being a victim of cyberbullying impacts the mind and influences behavior, particularly through negative emotions like anger and frustration. It also references Emerging Technologies and Cyber-Crime: Strategies for Mitigating Cyber-Crime and Misinformation on social media and Cyber Systems, noting that “Scholars have connected cyber-victimization with negative results, such as emotional distress, social withdrawal, and mental health problems, indicating its multiple effects on individual well-being” (Ezeji, 2024).
From a sociological perspective, the article explores how individuals interact on social media platforms and how these social institutions influence certain behaviors. It suggests that cyberbullying may be learned through peer interactions and examines the dynamics between victims and cyberbullies, shedding light on how social environments can contribute to these harmful behaviors.
Hypotheses
This article highlights five key hypotheses. The first clear hypothesis is that repeated cyber-victimization significantly increases emotional instability, leading to higher levels of anger and frustration in victims. Second, the use of AI-driven content moderation and cyber threat detection tools significantly reduces the emotional impact of cyber-victimization by increasing trust and decreasing anger and frustration in victims. The third hypothesis summarizes that E-governance significantly reduces anger and frustration in cyber-victims by providing streamlined reporting and
Research Methods
The study, conducted with a sample of 244 employees from various departments in Saudi Arabia, used stratified random sampling to ensure diverse representation across sectors. Data was collected through a structured survey, available in both electronic and paper formats, to examine cyber-victimization experiences, emotional responses (anger and frustration), and perceptions of AI-driven cybersecurity and e-governance measures. The survey utilized validated measurement scales and a five-point Likert scale for responses. Quantitative research design was utilized, with a sample size of 244 employees working in different departments of Saudi Arabia.
Article Analysis
The authors of this article were thorough in their approach to data measurement and analysis, employing Structural Equation Modeling (SEM) to evaluate the complex relationships between various constructs. They applied advanced statistical techniques to ensure the accuracy and reliability of their findings. Additionally, the data gathered for the research was analyzed using Cronbach’s alpha, a method used to assess the reliability of the measurement scales, further validating the robustness of the results and enhancing the credibility of the study.
PowerPoint Concepts
The concepts in the paragraph relate to Freud’s Psychodynamic Theory in that cyberbullying behaviors can stem from unresolved childhood conflicts, with aggression manifesting later in life. Neutralization Theory, which justifies harmful actions (e.g., “they deserved it”), aligns with Freud’s defense mechanisms, where individuals rationalize behaviors to reduce guilt. Behavioral theories, suggesting bullying is learned through peers, connect to Freud’s view that early social experiences shape behavior. Finally, the emotional consequences of cyber-victimization, like anger and frustration, reflect Freud’s idea of repressed emotions leading to psychological distress.
Marginalized Groups
This article does not specifically address the challenges, concerns, or contributions of marginalized groups. However, it highlights that adolescents and young adults are more susceptible to the effects of cyberbullying and cyber-victimization. This underscores the importance of considering age and vulnerability when developing strategies to combat online harassment and provide support for those most at risk.
Conclusion
In conclusion, the article Impact of Cyber-Victimization’s on Anger and Frustration: Role of AI, E-Governance, and Cyberbullying Coping (Aliane & Mirzaliev, 2024) effectively highlights the critical role of addressing the psychological impact of cyberbullying. By exploring the intersection of AI, e-governance, and coping strategies, the article provides compelling insights into how these factors can support victims in managing the emotional toll of online harassment. The research presented is grounded in robust evidence, reinforcing its relevance to the social sciences. Ultimately, the article offers actionable solutions that can contribute to reducing the negative effects of cyber-victimization, emphasizing the importance of proactive approaches in supporting victims’ mental well-being.
References:
Aliane, A., & Mirzaliev, M. (2024). Impact of cyber-victimization’s on anger and frustration: Role of AI, e-governance, and cyberbullying coping. Journal of Social Sciences and Technology, 29(4), 234-251. https://doi.org/10. 5281/zenodo.4766810
Ezeji, C. L. (2024). Emerging technologies and cyber-crime: strategies for mitigating cyber-crime and misinformation on social media and cyber systems. International Journal of Business Ecosystem & Strategy (2687-2293),6(4), 271-284. https://doi.org/10.36096/ijbes.v6i4.635