Assessing Socio-Cyber Vulnerability Using Survey and Social Media Data
arXiv 2608.26388•cfbac57576e7d66fa03ce78467f81663833c4cf993c0c7f6b448f51e834558fe
AI auditabilityAI-enabled scamsfinancial AIgraph neural networkshuman factorsknowledge graphsopinion polarizationphishingreproducibilityrisk assessmentromance fraudsocial engineeringsocial mediasocio-cyber vulnerabilitytech-support scamsweak signal detection
Paper metadata
- arXiv ID
- 2608.26388
- Version
- Not specified by this published record
- Category
- Computer Science — Social and Information Networks (cs.SI)
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Evidence and limitations
- Source ID
- arxiv_cs_si
- Record identifier
- cfbac57576e7d66fa03ce78467f81663833c4cf993c0c7f6b448f51e834558fe
- Enrichment time
- 2026-08-28T08:52:09Z
- AI-assisted enrichment
- Yes
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