A Survey of Scam Exposure, Victimization, Types, Vectors, and Reporting in 12 Countries

July 17, 2024 ยท The Cartographer ยท ๐Ÿ› Journal of Online Trust and Safety

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

"No code URL or promise found in abstract"
"Title-pattern auto-detect: A Survey of Scam Exposure, Victimization, Types, Vectors, and Reporting in 12 Countries"

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Authors Mo Houtti, Abhishek Roy, Venkata Narsi Reddy Gangula, Ashley Marie Walker arXiv ID 2407.12896 Category cs.CY: Computers & Society Cross-listed cs.HC Citations 10 Venue Journal of Online Trust and Safety Last Checked 3 days ago
Abstract
Scams are a widespread issue with severe consequences for both victims and perpetrators, but existing data collection is fragmented, precluding global and comparative local understanding. The present study addresses this gap through a nationally representative survey (n = 8,369) on scam exposure, victimization, types, vectors, and reporting in 12 countries: Belgium, Egypt, France, Hungary, Indonesia, Mexico, Romania, Slovakia, South Africa, South Korea, Sweden, and the United Kingdom. We analyze 6 survey questions to build a detailed quantitative picture of the scams landscape in each country, and compare across countries to identify global patterns. We find, first, that residents of less affluent countries suffer financial loss from scams more often. Second, we find that the internet plays a key role in scams across the globe, and that GNI per-capita is strongly associated with specific scam types and contact vectors. Third, we find widespread under-reporting, with residents of less affluent countries being less likely to know how to report a scam. Our findings contribute valuable insights for researchers, practitioners, and policymakers in the online fraud and scam prevention space.
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