February 16, 2025
Article Review #1: Impact of Cyber-Victimization on Anger and Frustration
Introduction
The study by Aliane And Mirzaliev (2024) focuses on the effect of cyber-victimization on emotional states such as anger and frustration and the ways in which AI in cybersecurity and e-governance serves to alleviate such effects. Therefore, it confers social significance, as it regards human behavior, psychosocial wellness, or the reactions of institutions to the digital threats present today. The authors explain the link between online harassment and emotional distress using psychological theories: Stress and Coping Theory and General Strain Theory. These theories place more emphasis on stressing the degree of negative emotion and any intervention that can lessen these effects.

Research Questions and Hypotheses
The purpose of the research is to investigate four important research topics: (1) The extent to which being a target for cyber-victims contributes to overall frustration and anger levels. (2) How, in this regard, artificial intelligence plays a role in cyber security in alleviating the effect of such emotional harm. (3) How e-governance minimizes suffering in terms of rage and frustration-associated emotions. (4) The extent to which coping mechanisms moderate the above-mentioned effects. Researchers have hypothesized that cyber-victimized individuals invariably report significantly higher levels of anger and frustration than non-victims, while AI and e-governance are believed to contribute to the mediation effect of these two dimensions of negative emotion. They also speculate that those who have developed strong coping mechanisms will experience lesser emotional disorganization as compared to individuals who lack such effective strategies.

Research Methods
Hypotheses were tested by the researchers through a quantitative research method in which survey data was used from 244 employees in Saudi Arabia. Structural Equation Modeling (SEM) in the Stata software was used to analyze relationships between variables. Reliability and validity of the study was assured with Cronbach’s alpha, composite reliability, and average variance extracted. Using these statistical techniques proves the accuracy of findings so that the conclusions of the study can be considered credible and not seen as an uncredible study.

Relevance to Marginalized Groups
The relevance of the study concerning social questions becomes imperative, especially for marginalized groups, for the reason that they invariably refer to high-incident rates of cyber-victimization, due to mixed social, economic, and political factors. Women, minorities, and those with limited access to technology may become special targets of online harassment. The foremost strength of this research is its focus on AI and e-governance as means to implement security measures for these groups-through automated threat detection and accessible reporting systems. The reverse of this study, however, accepts the fact that otherwise, current interventions may not address the felt needs of the marginalized; therefore, more research should establish the effectiveness of these interventions through different cultural lenses.

Contributions to Society
In general, the present study makes a significant contribution to society. It reveals growing concern over cyber-victimization and its psychological ramifications, which prompts policymakers and organizations to create better strategies that protect peoples’ identities online. Their findings support improved integration of AI into cybersecurity in the prevention and detection of online harassment. It also proposes legislative and institutional redress mechanisms to promote the e-governance frameworks for victim support. Lastly, due emphasis is given to psychological coping skills, which can induce the formulation of educational initiatives to show people how to cope with cyber stress.

Conclusion
In conclusion, the study conducted by Aliane and Mirzaliev (2024) significantly contributes to the understanding of the emotional impact of cyber-victimization and the mediating effect of technology and institutions in counteracting the consequences. It thus draws on the intersecting fields of psychology, technology, and governance to further articulate safety and support in digital environments.

March 30, 2025
Article Review #2: Understanding the Use of Artificial Intelligence in Cybercrime

Introduction
Artificial intelligence (AI) is changing the way cybersecurity operates. While AI helps protect systems, cybercriminals are also using it to enhance their attacks. The article “Understanding the Use of Artificial Intelligence in Cybercrime” explains how criminals use AI to hack systems, avoid detection, and take advantage of security vulnerabilities. This review will summarize the article, discuss its connection to cybersecurity and social science, and highlight its key points.

Summary of the Article
In the article, attacking interfaces are elaborated upon, taking through AI technologies: creating deep-fake videos, increasing the intensity and frequency of phishing attacks, and designing more potent malware. The very fact is that, on some occasions, an attacker might evade without the knowledge of security countermeasures in employing machine learning. Or else they predict and analyze human behavior using AI, which means their fraudulent acts are more believable. Meanwhile, those defending the attacks are also utilizing the resources of AI to build stronger defenses against such attacks, allowing the continuous cycle of warfare to go on between attackers and defenders.

AI and Cybercrime
From the social science perspective, AI-facilitated cybercrime impacts not only an individual but society in general. Cybercriminals exploit human psychology by tricking people subtly into releasing sensitive information through social engineering techniques. This situation gives rise to serious ethical concerns from the perspective of trust and security in our virtual realm. The article further points out that some populations are more vulnerable to cybercrime, largely due to the fact that they have no knowledge or resources, which indirectly points at the issue of social inequality when it comes to cybersecurity.

Connection to Cybersecurity Concepts
The article addresses such primary cyber paths as risk management, threat intelligence, and ethical hacking. The advent of AI in crime forecasts the need for adequate security measures and alertness. It also raises many ethical questions about AI’s role in securing—it can reinforce security, but there is always the question of whether it would be employed otherwise.

Conclusion
The article Understanding the Use of Artificial Intelligence in Cybercrime highlights both the benefits and risks of AI in cybersecurity. While AI plays a crucial role in bolstering security, it also arms cybercriminals with fresh tools to launch their attacks. This ongoing battle between hackers and security experts highlights the importance of grasping human behavior and ethics in the realm of cybersecurity. To tackle the cyber threats that come with AI, professionals from various fields must collaborate and create more robust security solutions.