Article Review 1: Impact of Cyber-Victimization on Anger and Frustration: Role of AI, E-governance and Cyberbullying Coping
Article URL: https://cybercrimejournal.com/menuscript/index.php/cybercrimejournal/article/view/364/107
Introduction
“The emotional effects of cyber-victimization are examined in this study by Nadir Aliane and Sanjar Mirzaliev, with particular attention to the interactions between coping mechanisms, artificial intelligence’s role in cybersecurity and e-governance, and the effects of rage and frustration. The study discovered a strong correlation between increased anger and irritation and cyber-victimization, with coping strategies and artificial intelligence (AI) significantly influencing these emotional reactions.
How the topic relates to the principles of the social sciences:
This article relates to several of the principles of the social sciences. To start, empirical studies were conducted to explore the consequences of cyber-victimization and emotion. It used emotion and experiences to draw conclusions. A study by Bussu et al. (2024) found that cyber victimization leads to emotional instability and helplessness. The authors use objectivism, an unbiased method of research, noting that all ages are affected. They draw different perspectives and inputs from a large number of sources throughout the article. They maintained an objective look at all of the research, keeping opinions and bias out of the article to ensure its accuracy.
Types of research methods used:
Of the five main social science research methods, a multimethod approach to research, however they focused on experiments and on surveys.They compiled studies and research from numerous credible sources. Some studies explored the role of more social aspects disregarding how the technological aspect interacts with coping mechanisms (Aliane and Mirzaliev). Some data was also collected using a structured survey that they provided on paper and online. This allowed insights to participants reaction’s of cyber-victimization, and how artificial intelligence is used in cybersecurity.
Types of Data and Analysis done:
The data collected is primarily qualitative, analyzed using Stata’s Structural Equation Modeling. This method examines complex relationships between variables, using confirmatory factor analysis (CFA) for model validation. The study explores connections between cyber-victimization, emotional reactions, AI, e-governance, and coping mechanisms, with bootstrapping techniques assessing the significance of path coefficients and mediating effects. (Aliane and Mirzaliev).
How the presentation concepts relate:
This article explores how cyber-victimization impacts behaviors like rage and irritation, alongside PowerPoint tips like using surveys and tests for data collection. It discusses determinism, where past events (like cybercrimes) influence behavior, and the importance of supporting victims rather than blaming them. The study employs the concept of multimethod research to gather extensive data and provide a deeper understanding, as discussed in module 3.
How the topic relates to the challenges, concerns and contributions of marginalized groups:
Cyber-victims can be considered a marginalized group in this context. The article examines the emotional impact of cyber-victimization, noting that many victims feel anger, and explores their perceptions of AI in cybersecurity. It underscores the importance of educating at-risk groups such as older people on safe internet practices.
Overall contribution of the studied to society:
When discussing the results of the studies, the author states, “In the era of digital connectivity, where the virtual world profoundly shapes human interaction, it is crucial to understand the nuances of cyber-victimization and its cascading psychological effects”(Aliane and Mirzaliev). This idea is indeed crucial, as the technology in our society continues to change and grow. We need to know the effects technology has on people in order to utilize newer technology such as artificial intelligence properly and with minimal incident.
Conclusion:
In conclusion, the article written by Nadir Aliane and Sanjar Mirzaliev as well as their studies offered “key insights on the dynamics of interaction between emotional reactions, technological and institutional interventions, and cyber-victimization” (Aliane and Mirzaliev). The insights from this research not only improve our understanding but also offer practical guidance for making the digital world safer and more supportive. This approach lays the groundwork for future efforts to protect users and promote emotional well-being online.
References
Aliane, N., & Mirzaliev, S. (2024). Impact of cyber-victimization on anger and frustration: Role of AI, e-governance, and cyberbullying coping. International Journal of Cyber Criminology, 18(1). https://cybercrimejournal.com/menuscript/index.php/cybercrimejournal/article/view/364/107
Article Review 2: Understanding the Use of Artificial Intelligence in Cybercrime
Article URL: https://vc.bridgew.edu/cgi/viewcontent.cgi?article=1185&context=ijcic
Introduction
Technology has changed the world in a myriad of ways, some good and some bad. It seems that every day a new technology is created to innovate our lives. Every day cybercriminals and hackers create new ways to commit cybercrime, making it so that cybersecurity professionals have to stay updated, and on their toes. One of the more advanced technological advancements is Artificial Intelligence. AI is constantly evolving, learning and improving itself. This can have a huge impact on the future of cybercrime, whether it makes it easier to commit, or easier to detect. This article talks about understanding the use of AI in cybercrime.
Relations to the Principles of Social Sciences
The article relates to the key principles of social science, including relativism, parsimony, empiricism, objectivity, determinism and skepticism. It shows a relativism by acknowledging that AI driven cybercrime can be perceived differently across different industries. By presenting full research and findings, the article maintains objectivity. This goes hand in hand with parsimony, where they use easy to understand theories such as the Routine Activity Theory (RAT) to explain complex occurrences. The data remains empirical, due to the reliance on qualitative and quantitative analysis of data, to understand how AI in cybercrime is evolving. It reflects determinism by implying that technical developments like artificial intelligence drive the development of cybercrime, and by stating that “offenders exploit this human intelligence system to commit criminal activities” (Choi et al., 2024). Finally, it relates to skepticism by challenging society’s readiness and calling for more research on these new dangers.
Research Question or Hypothesis
The article’s research question revolves around understanding how AI can be manipulated for use in cybercrime, and how its threat is constantly evolving. It investigates how new tech, especially AI is influencing new forms of criminal activity, like deepfakes. The article explains the lack of research regarding AI driven cybercrime, and suggests strategies to mitigate or prevent cybercrime.
Research Methods and Data Analysis
The article uses a multimethod style of research, combining both qualitative and quantitative research methods. It explains studies that use theories such as the Routine Activity Theory (RAT) and another part of it, the Cyber Routine Activities Theory (C-RAT). On the qualitative research side, their research presents case studies that use real world examples of AI driven cybercrime, such as the use of deepfakes. The quantitative data includes statistical data on the frequency of cybercrime driven by artificial intelligence. However, the article also includes expert opinions and their insights, collected through interviews, offering a comprehensive look into cybercrime and cybercrime mitigation.
Relation to Concepts From the Powerpoints
It relates to Human Centered Cybersecurity, by discussing how people are driven to commit various forms of cybercrime by AI. This article emphasizes how cybercriminals exploit artificial intelligence to target human vulnerabilities, such as deepfakes or social engineering attacks. It focuses on the importance of raising awareness among an organization’s employees, and about having better cyber hygiene practices, meaning the fundamental cybersecurity best practices that an organization can use. To stress the importance of this, the article stated that “the need for better cyber hygiene is more important than ever” (Choi et al., 2024). Cyber hygiene relates directly to human centered cybersecurity approaches that focus on training users how to protect themselves from cybercrime.
Challenges, concerns and contributions of marginalized groups
This article touches on the challenges and concerns of marginalized groups, in the context of AI-driven cybercrime. Deepfakes, for example, can disproportionately affect vulnerable groups like minorities, or those with limited access to technology. They can be used to harass, defame or extort specific groups or people. The article addresses the concerns by supporting cybersecurity awareness and inclusive policy frameworks. These consider the risks to unique groups and ensure that solutions are available to all people.
Overall Contributions to Society
The article strongly emphasizes the need for further research to understand how AI-driven cybercrime operates and to develop effective strategies for preventing or mitigating its impact. This could be a situation in which cybersecurity professionals fight fire with fire. AI could be used to determine the patterns cybercriminals show, in order to prevent cybercrime from being committed. The article states that, “these articles not only enhance our understanding of current threats but also pave the way for future research and policy development” (Choi et al., 2024). By utilizing the same technology that cybercriminals use to their advantage, this strategy emphasizes how crucial it is to keep ahead of new dangers.
Conclusion
Overall, this article exposes the growing issue of AI driven cybercrime. Technology is constantly evolving, and the methods criminals use to exploit it, are evolving right alongside it. Further research is required to get a more comprehensive understanding of AI’s role in cybercrime. By utilizing the same technology that cybercriminals use, cybersecurity professionals can stay up to date on the newest emerging cybercrimes and exploits to better protect organizations, and individuals. Most importantly, the article highlights the importance of awareness, updated policies and the expansion of methods used to fight against cybercrime.
References
Choi, S. , Dearden, T. & Parti, K. (2024). Understanding the Use of Artificial Intelligence in Cybercrime . International Journal of Cybersecurity Intelligence & Cybercrime, 7(2), – . DOI: https://doi.org/10.52306/ 2578-3289.1185