The rise of cyber threats on social media platforms necessitates advanced metrics to assess and mitigate social cyber vulnerabilities. This paper presents the Social Cyber Vulnerability Index (SCVI), a novel framework integrating individual-level factors (e.g., awareness, behavioral traits, psychological attributes) and attack-level characteristics (e.g., frequency, consequence, sophistication) for comprehensive socio-cyber vulnerability assessment. SCVI is validated using survey data (iPoll) and textual data (Reddit scam reports), demonstrating adaptability across modalities while revealing demographic disparities and regional vulnerabilities. Comparative analyses with the Common Vulnerability Scoring System (CVSS) and the Social Vulnerability Index (SVI) show the superior ability of SCVI to capture nuanced socio-technical risks. Monte Carlo-based weight variability analysis confirms SCVI is robust and highlights its utility in identifying high-risk groups. By addressing gaps in traditional metrics, SCVI offers actionable insights for policymakers and practitioners, advancing inclusive strategies to mitigate emerging threats such as AI-powered phishing and deepfake scams.

翻译：社交媒体平台网络威胁的兴起亟需先进指标来评估和缓解社会网络脆弱性。本文提出社会网络脆弱性指数（SCVI），这是一个整合个体层面因素（如意识、行为特征、心理属性）与攻击层面特征（如频率、后果、复杂性）的新型框架，用于全面的社会-网络脆弱性评估。SCVI通过调查数据（iPoll）和文本数据（Reddit诈骗报告）进行验证，证明了其在多模态数据中的适应性，同时揭示了人口统计学差异和区域脆弱性。与通用脆弱性评分系统（CVSS）和社会脆弱性指数（SVI）的比较分析表明，SCVI在捕捉细微的社会技术风险方面具有更优的能力。基于蒙特卡洛方法的权重变异性分析证实了SCVI的稳健性，并突显了其在识别高风险群体方面的实用性。通过弥补传统指标的不足，SCVI为政策制定者和实践者提供了可操作的见解，推动了应对新兴威胁（如AI驱动的网络钓鱼和深度伪造诈骗）的包容性策略的发展。