Analyzing Legal and Behavioral Perspectives: A Review of Studies on Cyber Defamation and Social Engineering
Article review of article "Cyber Defamation Through the Media: Comparative Study of Indonesia, South Korea, and Malaysia", and "Harnessing Large Language Models to Simulate Realistic Human Responses to Social Engineering Attacks: A Case Study"
ARTICLE REVIEW
Aaron Williams
2/11/20241 min read
The article "Cyber Defamation Through the Media: Comparative Study of Indonesia, South Korea, and Malaysia" explores how cyber defamation is regulated across these three countries, highlighting the differences and similarities in legal approaches. It relates to social sciences by examining the impact of cyber defamation on society, legal frameworks, and cultural contexts, emphasizing the intersection of law, technology, and social norms. The research focuses on the legal responses to cyber defamation, employing normative juridical research methods, including analysis of secondary data through library research and documentation. It examines statutory, conceptual, and comparative approaches to understand each country's legal stance on cyber defamation. This study highlights the importance of addressing cyber defamation to protect individuals' rights and reputations online, showcasing the broader societal implications of legal frameworks in the digital age. It contributes to understanding how laws adapt to technological advancements and the challenges posed by cybercrimes, particularly affecting marginalized groups who may be more vulnerable to online defamation.
The study "Harnessing Large Language Models to Simulate Realistic Human Responses to Social Engineering Attacks: A Case Study" examines how Large Language Models (LLMs) like OpenAI's GPT-4 can simulate human responses to social engineering attacks, focusing on phishing. It aligns with social science principles by exploring human behavior and susceptibility to manipulation. The research hypothesizes that LLMs can accurately model human responses based on personality traits, particularly the Big Five traits, to predict susceptibility to phishing attacks. Utilizing a simulation-based experimental design, the study generates personas with defined personality traits and subjects them to phishing simulations. Data analysis reveals how different traits influence susceptibility to social engineering, highlighting the vulnerabilities of traits like agreeableness and conscientiousness. This research contributes to cybersecurity by offering insights into human vulnerabilities and informing more effective defenses against social engineering attacks, thus addressing broader social concerns of privacy and security in the digital age.