A Survey of Scam Exposure, Victimization, Types, Vectors, and Reporting in 12 Countries
Mo Houtti, Abhishek Roy, Venkata Narsi Reddy Gangula, Ashley Marie, Walker

TL;DR
This comprehensive survey across 12 countries reveals global scam patterns, highlighting the internet's role, economic disparities in victimization, and widespread under-reporting, providing valuable insights for prevention efforts.
Contribution
The study offers the first large-scale, cross-national quantitative analysis of scam exposure, victimization, types, vectors, and reporting behaviors.
Findings
Less affluent countries experience higher financial losses from scams.
The internet is a major vector for scams worldwide.
Under-reporting of scams is prevalent, especially in poorer countries.
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…
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Taxonomy
TopicsSpam and Phishing Detection
