Living Evidence Synthesis
Reporting and Help-Seeking in Romance- and Relationship-Related Fraud: Evidence Synthesis
Across the reviewed evidence, formal reporting of romance- and relationship-related fraud is uncommon and substantially undercounts victimisation; many victims instead disclose to friends or family or do not disclose at all. Stigma, shame, embarrassment, and fears about being judged or perceived as complicit discourage formal reporting. Third parties (close others and institutional intermediaries) often trigger recognition and initial contact with services, while victims’ experiences with police and official agencies are mixed. Large portal and complaint datasets provide rich thematic insight into recognition, disclosure, and service gaps but are self-selected, unscreened, and therefore not generalisable to population-level prevalence or causal claims.
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Across the reviewed evidence, formal reporting of romance- and relationship-related fraud is uncommon and substantially undercounts victimisation; many victims instead disclose to friends or family or do not disclose at all. Stigma, shame, embarrassment, and fears about being judged or perceived as complicit discourage formal reporting. Third parties (close others and institutional intermediaries) often trigger recognition and initial contact with services, while victims’ experiences with police and official agencies are mixed. Large portal and complaint datasets provide rich thematic insight into recognition, disclosure, and service gaps but are self-selected, unscreened, and therefore not generalisable to population-level prevalence or causal claims. [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12]
Scope and core patterns of reporting
Multiple high‑contribution studies and large administrative complaint datasets indicate that formal reporting of romance and related relationship fraud is the exception rather than the norm; a substantial ‘‘dark figure’’ of unreported victimisation is repeatedly noted. Portal- and complaint-derived research documents many thousands of self‑reported incidents, but authors explicitly caution that these data capture only a subset of victims who choose to submit reports and therefore understate overall scale. [1] [2] [3] [4] [5]
Administrative complaint datasets (for example, de‑identified portal reports) enable large-sample, thematic and processual analyses that reveal patterns of recognition, harm, and reporting behaviour, but the same studies emphasise these sources are self-selected and lack human screening: missing fields, optional free-text, and unverified content limit generalisability and preclude reliable population estimates. [3] [4] [5]
Some time-series and longitudinal analyses use police-report data to examine trends (including pandemic-period changes), but authors caution these series remain vulnerable to underrecording and the underlying dark figure; therefore trend interpretation requires care about reporting-mode shifts and measurement limitations. [13] [14]
Barriers to disclosure: stigma, shame, and practical constraints
Shame, embarrassment, fear of being judged, and self‑blame are central, recurrent barriers to reporting documented across qualitative interviews, administrative narratives, and survey studies. Many victims describe feeling foolish or fearing social ridicule, and these emotions are explicitly linked by authors to reduced willingness to report to police or formal services. [1] [6] [7]
Related barriers include fear of being perceived as complicit in criminality (for example, involvement in money‑laundering), difficulty producing a coherent statement when distressed, and beliefs that recovery of money is unlikely; these factors are reported to reduce victims’ motivation to lodge formal complaints. [6] [1] [14]
Because of shame and fear of social consequences, many victims withhold disclosure from family or official channels; empirical estimates in the reviewed corpus show low rates of police reporting in some samples and higher rates of disclosure to friends or family compared with law enforcement contact. [15] [8] [16]
Pathways to help and the role of third parties
Close others (friends, family, coworkers) and institutional intermediaries (banks, payment/remittance services, platform staff) frequently play pivotal roles in detection and initial response; several studies document victims recognising the fraud only after a third party questioned transactions or verified suspicious activity. [17] [9] [8]
Empirical analyses indicate variation in who victims contact: some victims report to police or anti‑fraud agencies and many seek counseling after financial loss, while a substantial proportion never seek third‑party support. In one survey-based dataset a majority reported no third-party support-seeking, and other studies report low formal reporting rates and more frequent disclosure to informal supports. [18] [9] [16]
Third‑party detection can prompt formal reporting, but where it occurs victims’ expectations and the intended purpose of reporting vary; some report primarily to protect others, while others hope reporting will initiate investigations or recovery actions, reflecting heterogenous reporting motives documented in portal-derived interviews and qualitative studies. [12]
Institutional responses and reporting pathways
Victims’ experiences when engaging formal channels are mixed. Some studies describe empathetic, referral‑oriented police contact when victims were identified via law‑enforcement intelligence, while other accounts describe dismissive or unhelpful responses when victims reported directly at police desks or by phone. [10] [11] [12]
A qualitative study of Australian high‑loss online‑fraud reporters documents a fragmented reporting system in which victims were referred between agencies and sometimes sent back to the start; the study’s interviews explicitly describe this ‘merry‑go‑round’ effect as undermining victims’ ability to obtain timely assistance. [12]
Victims’ expectations of reporting outcomes are variable: some report primarily to protect others or to trigger investigations, while many who do report encounter barriers and ineffective assistance such as dismissive responses, failures to recognise the conduct as crime, or delayed investigations. These barriers are repeatedly documented as limits on timely support. [19] [12]
Data, methodological patterns, and limitations
The evidence base is dominated by self‑selected convenience samples, portal complaint datasets, and small qualitative samples. Authors repeatedly emphasise that portal data are unverified, optional in their free‑text fields, and subject to duplication; consequently, these sources are useful for thematic and processual analysis but cannot generate reliable population prevalence or causal inference. [3] [4] [5]
Specific methodological limitations documented in the reviewed work include selection bias from support‑site or portal users and optional or uneven narrative data (missing fields and variable free-text length), which reduce the completeness of individual reports and constrain generalisability to all victims. [14] [3]
Reporting-mode shifts also complicate interpretation of trends: during COVID‑19 several studies observed a decline in telephone reporting and an increase in online/web reporting, and authors warn that changes in reporting channels may influence observed time-series patterns of reported incidents rather than reflecting true incidence changes alone. [13]
Peer support, anonymity, evidence gaps, and future directions
Pseudonymous or forum-based posting can reduce victims’ fear of others’ judgment and enable disclosure that they may not make to close contacts; empirical and qualitative work documents anonymous posting as a mechanism by which some victims limit exposure to judgment when seeking assistance online or via support forums. [20] [15] [21]
Several authors and reviews call for research that directly asks victims about reporting decision‑making, reporting motivations and expectations, reporting barriers (including those specific to sextortion), and help‑seeking pathways to identify effective intervention points and to improve reporting infrastructure. [5]
References
- Kim, Hyo-shin; Seo, Jun-bae (2019). A Study on Romance Scam : The Current Situation and Effective Countermeasures DOI
- Saad, ME.; Norul, S.; Zamri, M. (2018). Cyber Romance Scam Victimization Analysis using Routine Activity Theory Versus Apriori Algorithm DOI
- Cross, C.; Lee, M. (2022). Exploring Fear of Crime for Those Targeted by Romance Fraud DOI
- Cross, C.; Holt, TJ. (2023). More than Money: Examining the Potential Exposure of Romance Fraud Victims to Identity Crime DOI
- Cross, C.; Holt, K.; Holt, TJ. (2023). To pay or not to pay: An exploratory analysis of sextortion in the context of romance fraud DOI
- Whitty, MT. (2013). Anatomy of the online dating romance scam DOI
- Annadorai, Kalaivani; Krish, Pramela; Shaari, Azianura Hani; Kamaluddin, Mohammad Rahim (2020). Mapping Computer Mediated Communication Theories and Persuasive Strategies in Analysing Online Dating Romance Scam DOI
- Snyder, Jamie A.; Golladay, Katelyn (2024). More Than Just a “Bad” Online Experience: Risk Factors and Characteristics of Catfishing Fraud Victimization DOI
- Wang, F.; Topalli, V. (2022). Understanding Romance Scammers Through the Lens of Their Victims: Qualitative Modeling of Risk and Protective Factors in the Online Context DOI
- Whitty, MT.; Buchanan, T. (2015). The online dating romance scam: The psychological impact on victims – both financial and non-financial DOI
- Whitty, MT. (2013). The Scammers Persuasive Techniques Model: Development of a Stage Model to Explain the Online Dating Romance Scam DOI
- Cross, C. (2018). Expectations vs reality: Responding to online fraud across the fraud justice network DOI
- Buil-Gil, D.; Zeng, Y. (2021). Meeting you was a fake: investigating the increase in romance fraud during COVID-19 DOI
- Cross, C. (2023). Romance baiting, cryptorom and ‘pig butchering’: an evolutionary step in romance fraud DOI
- Cross, C. (2019). “You’re not alone”: the use of peer support groups for fraud victims DOI
- Herrera, LD (2026). Romance Scam Reporting and Support: Help-Seeking Timing, Trust, and Escalation DOI
- Cross, C. (2023). “I knew it was a scam”: Understanding the triggers for recognizing romance fraud DOI
- Herrera, LD (2025). Romance Scam Victimization: A Survey-Based Examination of Financial, Psychological, and Reporting Factors DOI
- Wang, Fangzhou; Kelsay, James D (2025). The prevention of online romance scams using a crime script analysis from the victim’s perspective DOI
- Cantin, Pascale-Marie; Ream, Fyscillia; Dupont, Benoît (2025). The Online Mutual Help Practices of Romance Fraud Victims DOI
- Khukhunaishvili, Dina (2024). Romance Scam as one of the main Challenges of cybercrime DOI
This AI-assisted synthesis is based on reviewed evidence records. It may contain errors or omissions. Follow the publication and DOI links, consult the original works, and make your own judgment about the evidence.