ArticleInternational journal of environmental research and public health2022
Integrating Individual Factors to Construct Recognition Models of Consumer Fraud Victimization.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Multilevel risk factors for financial fraud in later life: evidence from China.Innovation in aging · 2026Article
- Mental States: A Key Point in Scam Compliance and Warning Compliance in Real Life.International journal of environmental research and public health · 2022Article
- Financial frauds' victim profiles in developing countries.Frontiers in psychology · 2022Review
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Authors and funding
4 authors.
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Abstract
Consumer financial fraud has become a serious problem because it often causes victims to suffer economic, physical, mental, social, and legal harm. Identifying which individuals are more likely to be scammed may mitigate the threat posed by consumer financial fraud. Based on a two-stage conceptual framework, this study integrated various individual factors in a nationwide survey (36,202 participants) to construct fraud exposure recognition (FER) and fraud victimhood recognition (FVR) models by utilizing a machine learning method. The FER model performed well (f1 = 0.727), and model interpretation indicated that migration status, financial status, urbanicity, and age have good predictive effects on fraud exposure in the Chinese context, whereas the FVR model shows a low predictive effect (f1 = 0.565), reminding us to consider more psychological factors in future work. This research provides an important reference for the analysis of individual differences among people vulnerable to consumer fraud.
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