“They’re Very Lonely”: Understanding the Fraud Victimisation of Seniors
Open accessAbstract
There are many theories which seek to explain fraud victimisation. In particular, older victims find themselves at the intersection of various discourses which account for victimisation, primarily from a deficit model. This article examines two discourses relevant to older fraud victims. The first positions older victims of crime as weak and vulnerable and the second positions fraud victims generally as greedy and gullible. Using interviews with twenty-one Canadian volunteers who provide telephone support to older fraud victims (all seniors themselves), this article analyses the extent to which these two discourses are evident in the understandings of these volunteers. It finds that volunteers overwhelmingly perceive fraud to occur out of loneliness and isolation of the victim, and actively resist victim blaming narratives towards these individuals. While neither discourse is overly positive, the article discusses the implications of these discourses for the victims themselves and for their ability to access support.
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This talk targets older adults, associating increased life experience and wealth with retired older adults, and implicitly leverages the prospect of loneliness common among this age group.
“This talk targets older adults, increased life experience and wealth being associated with retired older adults, and in implicitly leveraging the prospect of loneliness, which is a common concern among this age group (Cross 2016).”
From The Language of Romance Crimes (2024) · cites this paper as Cross 2016
In “Discourse one” (p. 65), Cross describes older people as attractive fraud targets because they may hold assets, and discusses loneliness and isolation as social vulnerabilities. In “The perceptions of the volunteers: Weak and vulnerable?” (page not given), volunteers describe loneliness as a way offenders establish relationships with older victims. The paper does not link increased life experience to retired adults or examine the particular talk’s targeting strategy. (LLM, conf=0.85)
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- Authors
- Cross, C.
- Corresponding author
- Cross, Cassandra
- ORCID
- Cross, Cassandra
- Venue
- International Journal for Crime Justice and Social Democracy
- Publisher
- Queensland University of Technology
- Published
- 2016-12-01
- Volume
- 5
- Issue
- 4
- Pages
- 60-75
- ISSN
- 2202-7998 (ISSN-L)
- 2202-8005
- OpenAlex
- W2559631186
- Cited by
- 83
- References
- 29
- Citations by year
- 2026: 15 · 2025: 17 · 2024: 16 · 2023: 7 · 2022: 8 · 2021: 7 · 2020: 8 · 2019: 3 · 2018: 2
- FWCI
- 4.68
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- International Journal for Crime Justice and Social Democracy (publishedVersion, cc-by)
- QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by)
- SSRN Electronic Journal (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- International Journal for Crime, Justice and Social Democracy (Queensland University of Technology) (submittedVersion, cc-by)
- Topics
- Social Sciences › Demography › Elder Abuse and Neglect
- Social Sciences › Law › Criminal Justice and Penology
- Physical Sciences › Computer Science › Information Systems › Cybercrime and Law Enforcement Studies
- Keywords
- older adults, fraud victims, deficit model, victim blaming, loneliness, social isolation, victim vulnerability, gullibility
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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