This synthesis summarizes reviewed, directly relevant evidence on education, detection/disruption, platform safeguards, financial/legal measures, and survivor-focused interventions intended to reduce harm from online romance scams. Across the corpus, there is consistent endorsement of multi-layered prevention that pairs targeted education/awareness with platform-side safeguards, improved reporting and law-enforcement coordination, and survivor-centered post-incident support. The evidence base is primarily qualitative, administrative-report–based, case-file, or small-sample evaluation work; rigorous longitudinal and randomized evaluations of specific interventions are scarce. Where available, studies support tailored, context-sensitive campaigns, risk signaling and verification tools on platforms, urgent attention to cryptocurrency-enabled hybrid scams (pig-butchering), and the need to evaluate pragmatic interventions (e.g., targeted warnings, pre-transfer referrals, and support-group models). Substantial evidence gaps remain about which specific interventions causally reduce victimization and how to implement ethically acceptable automated blocking or algorithmic interventions. Stakeholders should prioritize pilot evaluations with pre/post or controlled designs, coordinated platform–financial-sector responses, and resources for victim support and specialist clinical training.
Across the reviewed evidence, vulnerability to relationship-based online fraud clusters around psychosocial drivers (loneliness, life transitions, desire for partnership), interactional targeting and staged grooming tactics, and contextual moderators (digital literacy, social isolation, life circumstances) that shape exposure and persistence. Qualitative and mixed‑method studies converge on staged persuasion and testing tactics used by offenders; experimental and offender‑facing work supports strategic targeting of emotionally exposed individuals. Evidence quality varies: several high‑contribution qualitative and quantitative studies provide direct, replicable insights, but most designs remain cross‑sectional, retrospective, or purposive, limiting causal claims about who becomes a victim. Key gaps identified by authors include longitudinal tests of temporal ordering, validated, comparable measures of vulnerability across contexts, and more offender‑victim linked research to test causal mechanisms.
Across the reviewed evidence, samples of people who report or are studied as romance-scam victims show recurring descriptive patterns (female-majority in many complaint and interview series; frequent representation of middle-aged adults) but heterogeneous signals across countries, scam subtypes, and data sources. Psychosocial and behavioral correlates commonly reported include loneliness or social isolation, recent relationship disruption or active partner-seeking, trust-investment/romantic idealization, and impulsivity or sensation-seeking; these associations are predominantly correlational and observed in self-selected, complaint-derived, or qualitative samples and therefore do not establish causal vulnerability. Scam subtype and platform differences (for example, investment-focused “pig-butchering” and sextortion) and reporting channel strongly shape which demographic groups appear in datasets. Large administrative complaint and geographic analyses identify concentration of reported cases in persistent local “hot spots,” but such studies use absolute counts, are limited to people who recognized and reported harm, and therefore cannot alone characterize population risk. Systematic and scoping reviews repeatedly emphasize heterogeneous definitions, nonrepresentative recruitment, optional reporting fields, and measurement variation as central limitations that create uncertainty about which characteristics generalize across contexts.
This synthesis integrates reviewed evidence on policy, platform governance, policing, investigation, regulation, and cross-border coordination in responses to platform-enabled romance scams. The evidence consistently frames these scams as transnational and hybrid (romance + investment/crypto) problems that strain existing national legal frameworks, investigative capacities, and victim-protection systems. There is broad agreement that (1) stronger cross-border cooperation, mutual legal assistance, and joint operations improve disruption potential; (2) platform-layer safeguards (identity verification, detection tooling, reporting pathways) are important prevention levers; and (3) law-enforcement capacity (training, digital-forensics, crypto forensics) and clearer statutory definitions influence investigatory and prosecutorial outcomes. Areas of uncertainty include the measurable effectiveness of specific platform tools, the causal impact of regulatory reforms on scam prevalence, and reliable global prevalence or financial-loss totals because of underreporting and uneven classification. Methodological strengths in the corpus include transparent crime-script analyses, court-judgment coding, blockchain-forensic tracing, and mixed-method case studies; limitations include small purposive samples, single-country convicted-offender samples, nonrandom self-selected surveys, inconsistent legal doctrinal methods, and incomplete data access from platforms and crypto exchanges. The reviewed evidence repeatedly recommends harmonized definitions and cross-sector information sharing, but empirical evaluation of suggested interventions (platform detection tools, rapid-account-freeze mechanisms, and international conventions) is limited in the supplied material.
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.
Across the reviewed evidence, recovery after romance- and relationship-based cyberscams is described predominantly in qualitative and descriptive work as a multi-dimensional, process-oriented experience combining emotional work (grief, shame, self-blame), practical and financial tasks, efforts to seek legal redress or restitution, and attempts to rebuild social trust. Studies repeatedly report persistent psychological harms (prolonged grief, shame, self-blame, loss of trust and difficulty forming new intimate relationships), examples of continued emotional attachment to perpetrators in some cases, and the importance of practical assistance (liaising with banks or police, clear legal information) coupled with nonjudgmental validation. Peer and online mutual-help practices are commonly reported by victims as reducing isolation and providing validation, but empirical evaluation of facilitation best practices and of peer-support efficacy is limited. Evidence documents tailored recovery considerations for specific groups (people with acquired brain injury and survivors of trafficking into scam‑farm operations) and descriptive community-level livelihood supports such as e-marketing and low-capital microbusiness training; these intervention descriptions are generally programmatic and lack systematic outcome evaluation or controlled longitudinal evidence on sustained recovery. Authors across multiple reviews and primary studies call for more research on recovery trajectories, including longitudinal work and systematic investigation of support needs and service responses.
