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Does age matter? Examining seniors’ experiences of romance fraud

Cross, Cassandra ; Holt, Thomas J. (2025) — Security Journal

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DOI: 10.1057/s41284-025-00486-0 (opens in a new tab)

Type:   Journal Article
Country:   Australia
Tags:   Age Correlates, AI-Enabled Fraud, Australia, Financial Loss, Older Adults, Personal Information Loss, Risk Factors, Romance Scams, Scamwatch, Senior Victims, Victim Characteristics, Victim Experience
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Synopsis

            
The authors conducted a quantitative secondary analysis of de-identified Scamwatch romance-fraud complaints submitted from July 2018 through July 2019. After removing duplicates, sextortion cases, and records with missing/related data, they analysed 2,686 reports. A binary logistic regression model compared victims aged 65+ with younger victims using reported financial, banking-detail and personal-detail losses, contact channel, residence, and demographic/vulnerability indicators. Senior complainants were less likely to report losing personal information. Senior complainants were not more likely than other groups to report monetary losses. Scamwatch data are self-reported, unverified, optional-response online complaints and may not represent all romance-fraud victims.

          

        
                  

            
Identified Gaps

            
Romance-fraud research has limited evidence on victim profiles, especially age-related demographic and situational correlates. The literature gives mixed findings on whether older adults face greater fraud risk or losses, and psychological correlates cannot be assessed with Scamwatch data. Evidence is also lacking on whether age shapes severity of harm, recovery, reporting willingness, and protection of personal information during online relationships.

          

        
                  

            
Methods

            
The authors conducted a quantitative secondary analysis of de-identified Scamwatch romance-fraud complaints submitted from July 2018 through July 2019. After removing duplicates, sextortion cases, and records with missing/related data, they analysed 2,686 reports. A binary logistic regression model compared victims aged 65+ with younger victims using reported financial, banking-detail and personal-detail losses, contact channel, residence, and demographic/vulnerability indicators. Free-text reports were reviewed to identify monetary loss.

          

        
                  

            
Limitations

            
Scamwatch data are self-reported, unverified, optional-response online complaints and may not represent all romance-fraud victims. Respondents received limited definitions or guidance, so measures may be inconsistently interpreted and recalled. The data cannot test psychological correlates, exclude cases with missing data, and are temporally limited to 2018–2019, before later increases in reported senior losses. Sampling only reporters is problematic because fraud is substantially underreported.

          

        
                  

            
Future Work

            
Replicate the analysis across senior populations and contexts; collect newer data to assess COVID-19 and rising senior losses; examine how age shapes the severity and recovery experience of romance fraud; and disentangle communication channels, relationship communications, and awareness of personal-information protection.

          

              

    
    

        
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