{"id":203,"date":"2026-05-05T21:13:57","date_gmt":"2026-05-05T21:13:57","guid":{"rendered":"https:\/\/sites.wp.odu.edu\/marlikport\/?page_id=203"},"modified":"2026-05-05T21:51:14","modified_gmt":"2026-05-05T21:51:14","slug":"article-reviews","status":"publish","type":"page","link":"https:\/\/sites.wp.odu.edu\/marlikport\/article-reviews\/","title":{"rendered":"Article Reviews"},"content":{"rendered":"\n

Article Review 1<\/strong><\/p>\n\n\n\n

Cybersecurity Support and Informal Digital Inequality<\/p>\n\n\n\n

Introduction<\/strong><\/p>\n\n\n\n

This article examines cybersecurity-related support needs among Estonian home users and focuses on the role of informal support networks, such as family members and friends, in helping individuals manage cybersecurity challenges. The topic strongly connects to principles of the social sciences because it studies human behavior, social relationships, digital inequality, and access to knowledge within society. Rather than viewing cybersecurity strictly as a technical issue, the article frames it as a social issue shaped by relationships, education levels, and access to resources. Social science fields such as sociology and communication studies emphasize how individuals depend on social networks for information and problem-solving, which is clearly reflected in this study.<\/p>\n\n\n\n

Research Question and Variables<\/strong><\/p>\n\n\n\n

The key research question is \u201cHow home users rely on informal support networks for cybersecurity help, and what difficulties are generated by this dependence.\u201d The study looks at whether those with lower digital skills are more likely to approach informal support and how effective that support is. Independent variables are users\u2019 level of digital literacy, demographic characteristics, and availability of informal support. Regarding the outcome, that is the dependent variable, which measures cybersecurity coping results, including users\u2019 ability to manage risks and resolve cybersecurity issues. The authors say that informal support can mitigate some risk, but it also opens you to new vulnerabilities if the support provider lacks proper knowledge.<\/p>\n\n\n\n

Research Methods<\/strong><\/p>\n\n\n\n

In the study, they adopted an overall quantitative research design based on survey data collected from Estonian home internet users. Statistical analysis is used to identify patterns between the level of digital skill and informal social support. This method aligns with basic social science research methodologies due to an approach to social behavior that makes extensive use of quantitative data collection and exploratory analyses of relationships between variables. The study also draws attention to measurable patterns in how people seek assistance, exemplifying a way to examine cybersecurity behavior through empirical social research.<\/p>\n\n\n\n

Data and analysis<\/strong><\/p>\n\n\n\n

The data contains regular survey responses reflecting cybersecurity experiences, support-seeking behavior, and level of digital ability. Statistical models can be used to study the relationship between digital literacy and reliance on informal networks. \u201cPeople with little cybersecurity knowledge are much more often relying on family members or friends for help,\u201d say the results. But this trust can return uneven protection, as informal helpers do not always give accurate or secure advice. Social structure and knowledge distribution are shown to affect cybersecurity risks.<\/p>\n\n\n\n

Connection to course concepts<\/strong><\/p>\n\n\n\n

In the same way, ideas such as digital inequality, routine activity theory, and social vulnerability all have a direct relation to the current article. Digital inequality explains how differences in access to skills and knowledge create unequal levels of online protection. Routine activity theory also applies in situations where there is no capable guardian; in this case, someone without formal cybersecurity knowledge will be vulnerable to cyber-attacks as well. The study supports the idea that the issues related to cybersecurity are not just technical gaps, but aspects of social organization.<\/p>\n\n\n\n

Marginalized groups and social concerns<\/strong><\/p>\n\n\n\n

The article is related to issues surrounding marginalized groups. It has been said that older adults, people with lower education levels and people with restricted digital literacy have started reaching out to informal networks of support. That may increase the risks in these areas since people in these groups have limited access to professional help or formal training for managing cybersecurity. This has serious consequences for digital inclusion and reasonable access to cybersecurity education. The research highlights the need for creating public policies and educational programs that address these social differences.<\/p>\n\n\n\n

Conclusion<\/strong><\/p>\n\n\n\n

This article makes significant contributions from the perspective of social science about cybersecurity. It shows that challenges in cybersecurity relate to social relationships, digital literacy, and inequality. By looking at informal networks of support such as friendship networks, the study indicates how social structures determine virtual safety outcomes. This is to say that the research adds something for society with its recommendations that stress inclusive cybersecurity education and even more effective support systems that relieve digital inequality. In summary, the present study supports the view that cybersecurity is not only a technical experience but also a social one that must be considered among human behavior and community dynamics.<\/p>\n\n\n\n

References<\/strong><\/p>\n\n\n\n

sein, Kati, S\u00fctterlin, S., & M\u00e4llo, T. (2026). Cybersecurity-related support needs and challenges incurred by informal support: A study among Estonian Home Users | Journal of Cybersecurity | Oxford Academic. Retrieved from https:\/\/academic.oup.com\/cybersecurity\/article\/12\/1\/tyag006\/8472656<\/p>\n\n\n\n

Article Review 2<\/h2>\n\n\n\n

Understanding the Psychology Behind Cybercriminal Behavior<\/strong><\/p>\n\n\n\n

Introduction<\/strong><\/p>\n\n\n\n

At first, I used to think cybercrime was mostly about people being good with computers. Like, just technical skill. But after reading \u201cExploring the Psychological Profile of Cybercriminals,\u201d<\/em> it\u2019s obvious that\u2019s only part of the story. There\u2019s a whole human side to it that doesn\u2019t get talked about enough. The article focuses on how cybercriminals think, what motivates them, and why they keep doing what they do (Trinh et al., 2025). And that part matters just as much as the technical side maybe even more.<\/p>\n\n\n\n

Connection to Social Science Principles<\/strong><\/p>\n\n\n\n

When you really look at it, cybercrime fits right into social science. It\u2019s about behavior, choices, and people reacting to their environment. Nobody just randomly decides to break into systems for no reason. There\u2019s usually something behind it money, curiosity, boredom, even ego. Psychology helps explain those decisions, while criminology looks at patterns in how crimes happen. And then there\u2019s the social side like where someone grew up or what kind of opportunities they had. All that plays a role, whether we realize it or not.<\/p>\n\n\n\n

Research Question and Variables<\/strong><\/p>\n\n\n\n

The main idea of the article is straightforward: what kind of mindset leads someone into cybercrime? It doesn\u2019t clearly spell out a hypothesis, but you can read between the lines. Traits like risk-taking, low empathy, or just being curious about how systems work seem to show up a lot. So, in simple terms, those traits are the independent variable, and the actual involvement in cybercrime is the dependent variable. One kind of feeds into the other.<\/p>\n\n\n\n

Research Methods<\/strong><\/p>\n\n\n\n

Instead of doing experiments or surveys, the authors went with a literature review. They pulled from different past studies and compared them. There\u2019s already a lot of research on cybercrime, so putting it all together helps paint a bigger picture. It\u2019s more about connecting dots than starting from scratch.<\/p>\n\n\n\n

Data and Analysis<\/strong><\/p>\n\n\n\n

The data isn\u2019t really numbers or charts it\u2019s more about patterns in behavior. The article looks at different studies and finds common traits among cybercriminals. One thing that stood out to me is how they often justify what they\u2019re doing. They don\u2019t fully see it as wrong, or they convince themselves it\u2019s not a big deal. That mindset is scary when you think about it, because it makes it easier for them to keep going.<\/p>\n\n\n\n

Connection to Course Concepts<\/strong><\/p>\n\n\n\n

This connects a lot to what we\u2019ve been learning, especially social engineering. Not every attack is super technical. Sometimes it\u2019s just about tricking someone into clicking a link or giving up information. That\u2019s where psychology comes in heavily. Hackers understand people, and they use that against them. It also reminds me of how we talk about humans being the weakest link in cybersecurity. Even strong systems can fail if someone makes a simple mistake.<\/p>\n\n\n\n

Marginalized Groups<\/strong><\/p>\n\n\n\n

Not everyone is affected the same way, and the article hints at that. People who don\u2019t have much experience with technology are easier targets, which puts them at a disadvantage right away. On the other hand, people dealing with financial struggles might see cybercrime as an opportunity, even if it\u2019s risky. It\u2019s not an excuse, but it does explain some of the bigger picture. Stuff like this shows how cybercrime connects to real-world issues, not just online ones.<\/p>\n\n\n\n

Contribution to Society<\/strong><\/p>\n\n\n\n

I think this article is important because it shifts the focus a little (Trinh et al., 2025). Instead of just building stronger systems, it pushes us to understand the people behind the attacks. That can lead to better training, better awareness, and maybe even better prevention overall. It\u2019s not just about stopping hackers it\u2019s about understanding why they exist in the first place.<\/p>\n\n\n\n

Conclusion<\/strong><\/p>\n\n\n\n

In conclusion, this article makes one thing clear that cybersecurity isn\u2019t just technical. It\u2019s human. The more we understand behavior, the better we can deal with threats. It\u2019s not just about coding or systems, it\u2019s about people, their choices, and how they think. And that changes how I look at cybersecurity moving forward.<\/p>\n\n\n\n

References<\/p>\n\n\n\n

TRINH, D. T., DINH, T. C. H., & TRAN, T. N. K. (2025). International Journal of Cyber Criminology Vol 19 issue 1 January \u2013 June 2025. Retrieved from https:\/\/cybercrimejournal.com\/menuscript\/index.php\/cybercrimejournal\/article\/download\/452\/133\/909<\/p>\n\n\n\n

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