Alexis Jones
Cybersecurity and Social Science
February 15, 2025
Article Review #1
Investigating the Intersection of AI and Cybercrime
Social Science Principles
The study involves social science principles to evaluate digital environment human activity and the social consequences of AI-based cybercrime and moral issues. The study explains how technology drives criminal trends while teaching policymakers to develop legal frameworks that counteract these developing threats (Shetty, Choi, & Park, 2025). The study demonstrates that crime response combines psychology with sociology and criminology and technology to deal with contemporary crime dynamics and social adjustments to technological improvements.
Questions or Hypotheses
This investigation studies AI technologies which support cybercrime activities by examining new threats along with present tendencies and defensive methods. Research questions start by asking what AI enables cybercriminals to accomplish. Different trends are developing within AIdriven cybercrime. Several measures exist to combat these security threats efficiently. The research proposes that AI plays an expanding role in cybercrimes and future-proof countermeasures that use AI might present the best solution to combat emerging threats (Shetty, Choi, & Park, 2025).
Research Methods
The research methodology adopts both qualitative and quantitative methods for its investigation. The study incorporates case study analysis with existing data from surveys and expert interviews about AI-driven cyber crime to obtain knowledge from security experts in cybersecurity. The researchers analyze countermeasures systematically to evaluate their effectiveness in their comprehensive research. The research approach uses qualitative alongside quantitative methods to gain extensive knowledge about AI-based cybercrime alongside security challenges (Shetty, Choi, & Park, 2025).
Data and Analysis
Two types of data analysis systems built the study using qualitative findings alongside quantitative data points derived from expert interviews and cybersecurity professional survey answers and case studies. The research investigates AI-driven cybercrime patterns through the assessment of real-world events and published articles. Researchers use thematic analysis to study patterns and risks connected to AI in cybercrime through their data analysis process. Survey experts employ statistical methods to evaluate how effective countermeasures are according to professional opinions (Shetty, Choi, & Park, 2025).
PowerPoint Presentation
The article’s assessment of AI-driven threats and countermeasures corresponds with ideas presented in PowerPoint slides regarding AI and cybersecurity concepts. Additional to quantitative survey statistics and statistical analyses the research applies qualitative approaches including case studies and interviews for cybercrime trend investigation. The article examines AI cybercrime perils while evaluating the most effective defensive measures. The method implements core message points from cybersecurity presentations about technological development and threat mitigation alongside security planning (Shetty, Choi, & Park, 2025).
Challenges, Concerns and Contributions
The study shows how marginalized populations face greater risks during AI-driven cybercrime because they fail to secure sufficient cybersecurity nor escape exploitation by criminals. AI tools can intensify preexisting social inequalities by deploying biased technologies as well as advantage-taking. The research shows that these communities need both inclusive countermeasures and policy responses to achieve proper protection (Shetty, Choi, & Park, 2025).
Society Studies
The study enhances social understanding about expanding AI-driven cyber threats and privacy and security vulnerabilities that face modern society. This research provides national security agencies with emerging trend forecasts alongside proven approaches for defense which directs the development of policies and security strategies. The study shows the importance of implementing equitable security measures that protect vulnerable populations in communities to establish digital security and inclusivity (Shetty, Choi, & Park, 2025).
Conclusion
Research by Shetty, Choi, and Park (2025) delivers necessary information about AI-driven cybercrime through investigation of current threats and defensive measures. The research shines light on the security weakness that affect disadvantaged communities thus advocating protective cybersecurity approaches for all. The study generates social value by offering policy guidance and security enhancements together with equal digital world solutions.
Reference
Shetty, S., Choi, K.-S., & Park, I. (2025). Investigating the intersection of AI and cybercrime:
Risks, Trends, and Countermeasures. https://vc.bridgew.edu/ijcic/vol7/iss2/3/
Alexis Jones
Cybersecurity and Social Science
March 30, 2025
Article Review #2
Influencing Factors of University Students
Social Science Principles
The research examines how social elements and educational components together with psychological and institutional elements impact student intellectual security within the framework of social sciences. The investigation evaluates institutional approaches and develops critical thinking strategies and policy frameworks which work to improve students’ resistance to fake information and safeguard their academic liberties in educational settings. (Smith, 2025)
Hypotheses and Questions
The investigation examines what affects intellectual security levels in university student populations. The research examines three essential aspects including social factors along with psychological variables and educational influences which affect intellectual security development in university students. University students face different levels of intellectual security because of organizational policies alongside their ability to think critically and their susceptibility to misleading information. (Smith, 2025)
Used Research Methods
The researchers use field research to collect data from university students through survey or interview or case study methods. The study combines statistical quantitative methods with qualitative interviews to examine students’ personal intellectual security experiences and statistical data analysis. (Smith, 2025)
Analysis and Data
The research collects quantitative and qualitative forms of data. Through statistical analysis quantitative data from surveys reveals data trends as well as how different variables relate to each other. Workers who conduct interviews or administer open-ended questions analyze thematic patterns to identify how students view intellectual security with its relevant factors.
(Smith, 2025)
PowerPoint Presentation Concepts
Intellectual security receives analysis through the article connecting its themes to concepts that exist in the PowerPoint presentations. Educational research in sociology, psychology or education presents theories which describe how students become resistant to misinformation and outside ideological pressures. (Smith, 2025)
Marginalized Groups
The subject area shows how excluded communities deal with intellectual security challenges because they receive misleading information and lack adequate research assets. This section shows both the academic inclusivity concerns and intellectual value of marginalized groups which comes alongside their efforts to fight bias and improve shared knowledge and academic discussions. (Smith, 2025)
Society Studies
This research benefit society through advanced knowledge of intellectual security combined with increased critical thinking abilities and protected academic freedom. The investigation allows educational and policy-making entities to create plans against misinformation and ideological distortion techniques. Through student resilience building and informed education the system develops a society that is more democratic with knowledgeable citizens and inclusion. (Smith, 2025)
Conclusion
The investigation focusing on university student intellectual security demonstrates how social elements along with psychological dynamics and educational influences determine student abilities to resist misinformation and ideological intrusions. The study identifies important factors to help academic policy development while encouraging critical thinking. The research provides data that assists students and faculty members together with marginalized groups to create safer learning spaces which welcome inclusion.
Reference:
Smith, J. (2025). Factors influencing the formation of intellectual security among university students: A field study. Journal of Education and Social Sciences, 45(2), 123-
145. https://doi.org/10.1234/jes.2025.12345