{"id":225,"date":"2026-05-06T02:39:56","date_gmt":"2026-05-06T02:39:56","guid":{"rendered":"https:\/\/sites.wp.odu.edu\/mv05\/?page_id=225"},"modified":"2026-05-06T03:04:47","modified_gmt":"2026-05-06T03:04:47","slug":"article-reviews","status":"publish","type":"page","link":"https:\/\/sites.wp.odu.edu\/mv05\/","title":{"rendered":"Article Reviews"},"content":{"rendered":"\n<p>Article Review #1: Cyberbullying on Social Media<br>Maxwell Vinson<br>School of Cybersecurity, Old Dominion University<br>CYSE 201S: Cybersecurity and the Social Sciences<br>Dr. Jordan Quinn<br>2\/24\/2026<br>2<br>Introduction\/BLUF<br>The article from Cybersecurity looks at cybersecurity through social media. The article<br>gets into many It explores many studies done to help try and understand different patterns or<br>challenges in cyberbullying. The main purpose of this article was to show that cyberbullying is a<br>serious problem that is harming people mentally, and all of this is difficult to track and study<br>making it harder to understand its actual impact.<br>Relation\/Connection to Social Science Principles<br>The article connects to social science since it studies human behavior online and how<br>people interact with each other. It relates to many social science principles, it especially relates to<br>behavior, cognition, and society and culture. It relates to behavior since it shows how people<br>learn cyberbullying from peers or online communities and how they interact. Cognition, because<br>both offenders and victims think or react differently from their online actions and that can affect<br>the actions they take. Finally, it also relates to society and culture, by talking about the social<br>norms on social media and how that influences how actions are looked at.<br>Research Question \/Hypothesis \/Independent Variable \/Dependent Variable<\/p>\n\n\n\n<ul>\n<li>Research Question: How is cyberbullying on social media defined, how common is<br>cyberbullying and what is the impact it has on the victims.<\/li>\n\n\n\n<li>Hypothesis: The author tries to point out how cyberbullying affects its victims emotional<br>state, and what traits or social interactions make people more likely to participate in<br>cyberbullying.<\/li>\n\n\n\n<li>Independent Variable: personality traits, peer pressure, social media interactions<\/li>\n\n\n\n<li>Dependent Variable: The emotional harm caused to victims, like the anxiety, depression<br>and stress it gives them.<br>3<br>Types of Research Methods used<br>This article has implemented many studies on cyberbullying and examined them<br>to help reinforce their research. This was qualitative since it focuses on analyzing and<br>then summarizing the information from these studies. The data they used in this was from<br>surveys, and reports about cyberbullying.<br>Types of Data Analysis used<br>They collected information from multiple studies and then compared the results in<br>the end to help identify patterns or trends or any common findings in cyberbullying. They<br>looked at how different studies described cyberbullying and the effects it had on its<br>victims.<br>Connections to other Course Concepts<br>This article connects several concepts from the modules. Like Behavioral<br>Theories, Cognitive Theories, Personality Theories. Behavioral showing how<br>cyberbullying can be learned from peers or online communities. Cognitive since these<br>offenders try and justify their actions by thinking in a certain way. Lastly, personality<br>traits like being impulsive can make someone more likely to bully others online.<br>Connections to the Concerns or Contributions of Marginalized Groups<br>This article does highlight how cyberbullying can affect more vulnerable people<br>or marginalized groups. For example teenagers or LGBTQ+ individuals who are already facing<br>discrimination can be more likely to be bullied online.<br>Overall societal contributions of the study\/Conclusion<br>4<br>This article helps us understand how cyberbullying harms victims emotionally. It<br>shows that personality traits, social influences, and online interactions can affect who participates<br>in cyberbullying. Overall it helps us understand cybersecurity and human behavior online.<br>5<br>Reference<br>Article Link: Ray, Geraldine, et al. \u201cCyberbullying on Social Media: Definitions, Prevalence,<br>and Impact Challenges | Journal of Cybersecurity | Oxford Academic.\u201d OXFORD Academic, 19<br>Dec. 2024, academic.oup.com\/cybersecurity\/article\/10\/1\/tyae026\/7928395.<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Article Review #2: University students\u2019 security behavior against email phishing attacks<br>Student Name: Maxwell Vinson<br>School of Cybersecurity, Old Dominion University<br>CYSE 201S: Cybersecurity and the Social Sciences<br>Instructor Name: Dr. Jordan Quinn<br>Date: 4\/9\/2026<br>Introduction\/BLUF<br>I selected an article from the Journal of Cybersecurity, that examines how phishing attacks take<br>advantage of human behavior, especially with students. This study focuses on why individuals<br>are falling victim to these phishing attacks, even though people should be more aware of<br>cybersecurity threats now more than ever. Overall, this article shows that low cybersecurity<br>awareness significantly increases the likelihood to have phishing attacks.<br>Relation\/Connection to Social Science Principles<br>This article relates to several core scientific principals, empiricism and determinism. Empiricism,<br>through the use of these phishing simulations and survey data, allows conclusions to be made<br>based off of this information. Determinism is reflected in this study, which shows why phishing<br>is successful, for example, among individuals with low cybersecurity awareness, or impulsive<br>decision makers.<br>Research Question\/Hypothesis\/Independent Variable\/ Dependent Variable<\/p>\n\n\n\n<ul>\n<li>Research Question: Why are these individuals, specifically students, more susceptible to<br>phishing attacks even with the awareness of these cybersecurity threats?<\/li>\n\n\n\n<li>Hypothesis: People with less cybersecurity awareness are more likely to fall for phishing<br>attacks.<\/li>\n\n\n\n<li>Independent Variable: The individual&#8217;s level of cybersecurity awareness<\/li>\n\n\n\n<li>Dependent Variable: The likelihood of these phishing attacks.<br>Types of Research Methods used<br>This study used quantitative research methods. Researchers did phishing simulations,<br>which tested individuals and their behavior online. Surveys were used to measure the<br>individual&#8217;s cybersecurity awareness as well.<br>Types of Data Analysis used<br>This author mainly used and analyzed statistics, examining cybersecurity awareness and<br>their susceptibility to phishing. Quantitative data from these surveys and simulations<br>were analyzed to try to find the patterns in behavior.<br>Connections to other Course Concepts<br>This article obviously relates to a lot of what we have gone through throughout this<br>course. Individuals are making decisions quickly without evaluating the risks. The risk<br>perception is low; people underestimate the online threats. Human factors play a bigger<br>role than technology alone when facing online threats.<br>Connections to the Concerns or Contributions of Marginalized Groups<br>This study highlights students and people with limited knowledge around technology, and<br>how they are more vulnerable to phishing attacks. These groups have a lack of expertise<br>in proper cybersecurity education and resources making them more likely to these scams.<br>Groups like older adults could also be susceptible to these phishing emails due to their<br>lack of use with technology. This study shows the need for cybersecurity education<br>people need to ensure the protection of all users.<br>Overall Societal Contributions of the Study\/Conclusion<br>In conclusion, this article shows us that it&#8217;s not always technical issues that leak data, but<br>mainly human behavior. It highlights how important education and awareness are when<br>online. Overall, this study helps us understand the common ground between<br>cybersecurity and social science, focusing on how human behavior is a critical factor in<br>our security.<br>Reference<br>Anderson Kevin Gwenhure, University students&#8217; security behavior against email phishing<br>attacks: insights from the health belief model, Journal of Cybersecurity, Volume 11, Issue 1,<br>2025, tyaf034, https:\/\/doi.org\/10.1093\/cybsec\/tyaf034<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Article Review #1: Cyberbullying on Social MediaMaxwell VinsonSchool of Cybersecurity, Old Dominion UniversityCYSE 201S: Cybersecurity and the Social SciencesDr. Jordan Quinn2\/24\/20262Introduction\/BLUFThe article from Cybersecurity looks at cybersecurity through social media. The articlegets into many It explores many studies done to&#8230; <a class=\"more-link\" href=\"https:\/\/sites.wp.odu.edu\/mv05\/\">Continue Reading &rarr;<\/a><\/p>\n","protected":false},"author":32014,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/sites.wp.odu.edu\/mv05\/wp-json\/wp\/v2\/pages\/225"}],"collection":[{"href":"https:\/\/sites.wp.odu.edu\/mv05\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.wp.odu.edu\/mv05\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.wp.odu.edu\/mv05\/wp-json\/wp\/v2\/users\/32014"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.wp.odu.edu\/mv05\/wp-json\/wp\/v2\/comments?post=225"}],"version-history":[{"count":2,"href":"https:\/\/sites.wp.odu.edu\/mv05\/wp-json\/wp\/v2\/pages\/225\/revisions"}],"predecessor-version":[{"id":242,"href":"https:\/\/sites.wp.odu.edu\/mv05\/wp-json\/wp\/v2\/pages\/225\/revisions\/242"}],"wp:attachment":[{"href":"https:\/\/sites.wp.odu.edu\/mv05\/wp-json\/wp\/v2\/media?parent=225"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}