| Literature DB >> 28657792 |
Monica T Whitty1,2.
Abstract
The online dating romance scam is an Advance Fee Fraud, typically conducted by international criminal groups via online dating sites and social networking sites. This type of mass-marketing fraud (MMF) is the most frequently reported type of MMF in most Western countries. This study examined the psychological characteristics of romance scam victims by comparing romance scam victims with those who had never been scammed by MMFs. Romance scam victims tend to be middle-aged, well-educated women. Moreover, they tend to be more impulsive (scoring high on urgency and sensation seeking), less kind, more trustworthy, and have an addictive disposition. It is argued here that these findings might be useful for those developing prevention programs and awareness campaigns.Entities:
Keywords: cybercrime; fraud; mass marketing fraud; romance scam
Mesh:
Year: 2017 PMID: 28657792 PMCID: PMC5806049 DOI: 10.1089/cyber.2016.0729
Source DB: PubMed Journal: Cyberpsychol Behav Soc Netw ISSN: 2152-2715
Descriptive Statistics for Predictor Variables for Victimhood Versus Not Scammed
| M | SD | M | SD | |
|---|---|---|---|---|
| Education | 4.08 | 1.13 | 3.12 | 1.07 |
| Knowledgeable cybersecurity | 2.13 | 0.94 | 2.51 | 0.93 |
| Lack of premeditation | 19.15 | 5.99 | 21.22 | 4.63 |
| Urgency | 35.90 | 7.48 | 27.91 | 6.97 |
| Sensation seeking | 36.55 | 8.83 | 26.97 | 7.60 |
| Lack of perseverance | 19.08 | 4.32 | 19.55 | 4.51 |
| Locus of control | 12.42 | 3.03 | 12.73 | 4.13 |
| Trust in others | 34.32 | 5.59 | 30.03 | 6.12 |
| Trustworthiness | 17.37 | 6.69 | 19.39 | 5.08 |
| Kindness | 37.95 | 5.59 | 39.64 | 5.96 |
| Greed | 24.86 | 5.94 | 20.85 | 6.27 |
| Addiction–disposition | 18.57 | 4.96 | 13.60 | 4.24 |
SD, standard deviation.
Binary Logistic Regression: Predictors of Romance Scam Victimhood Versus Not Scammed
| p | ||||||
|---|---|---|---|---|---|---|
| Age | 19.962[ | 2 | 0.000 | |||
| Age (1) | −0.679 | 0.269 | 6.343[ | 1 | 0.012 | 0.507 |
| Age (2) | 0.227 | 0.230 | 0.978 | 1 | 0.323 | 1.255 |
| Gender | 0.736 | 0.184 | 16.011[ | 1 | 0.000 | 2.088 |
| Education | 0.590 | 0.079 | 55.486[ | 1 | 0.000 | 1.804 |
| Knowledgeable cybersecurity | 0.042 | 0.095 | 0.198 | 1 | 0.656 | 1.043 |
| Lack of premeditation | −0.031 | 0.021 | 2.266 | 1 | 0.132 | 0.969 |
| Urgency | 0.071 | 0.015 | 21.647[ | 1 | 0.000 | 1.074 |
| Sensation seeking | 0.089 | 0.013 | 50.374[ | 1 | 0.000 | 1.074 |
| Lack of perseverance | 0.022 | 0.024 | 0.845 | 1 | 0.358 | 1.022 |
| Locus of control | −0.036 | 0.024 | 2.342 | 1 | 0.126 | 0.964 |
| Trust in others | 0.020 | 0.018 | 1.176 | 1 | 0.278 | 1.020 |
| Trustworthiness | −0.512 | 0.211 | 5.908[ | 1 | 0.015 | 0.599 |
| Kindness | −0.043 | 0.016 | 7.301[ | 1 | 0.007 | 0.958 |
| Greed | 0.013 | 0.014 | 0.890 | 1 | 0.346 | 1.013 |
| Addiction–disposition | 0.170 | 0.025 | 47.489[ | 1 | 0.000 | 1.185 |
| Constant | −11.644 | 1.260 | 85.343[ | 1 | 0.000 | 0.000 |
p < 0.05; **p < 0.01; ***p < 0.001.