{
  "id": 17025,
  "url": "https://arxiv.org/abs/2603.27117",
  "title": "Gender-Based Heterogeneity in Youth Privacy-Protective Behavior for Smart Voice Assistants: Evidence from Multigroup PLS-SEM",
  "summary": "arXiv:2603.27117v2 Announce Type: replace-cross Abstract: This paper investigates how gender shapes privacy decision-making in youth smart voice assistant (SVA) ecosystems. Using survey data from 469 Canadian youths aged 16-24, we apply multigroup Partial Least Squares Structural Equation Modeling to compare males (N=241) and females (N=174) (total N = 415) across five privacy constructs: Perceived Privacy Risks (PPR), Perceived Privacy Benefits (PPBf), Algorithmic Transparency and Trust (ATT),",
  "authors": "Molly Campbell, Yulia Bobkova, Ajay Kumar Shrestha",
  "category": "research",
  "topics": "privacy-surveillance,transparency,finance-investment",
  "orgs": null,
  "regions": "canada",
  "published_at": "2026-08-07T04:00:00.000Z",
  "fetched_at": "2026-08-07T05:10:58.501Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/17025",
  "original_url": "https://arxiv.org/abs/2603.27117",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}