Data from The GDELT Project · Reviewed and interpreted by RSRC
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Find reporting by topic, place or language. Open a record to see why it was included and what the available evidence supports.
The chart uses every search filter above and all matching records, across every results page. The percentage denominator is all included URLs in the same dates, before theme, language, country or text filters.
Distinct included URLs matching these filters in each observation month. Select a point to explore its records. On small screens, scroll the chart horizontally.
A URL counts once per month and can appear in several months or themes. Themes describe the current record assessment; months show URL observations, not when events or each claim first appeared. Warnings, allegations and reported experiences are all included when coded. Partial months, collection gaps and changes in sources affect both measures. A higher share does not establish a higher risk to victims.
| Observation month | Matching URLs | All included URLs | Share |
|---|---|---|---|
| Jan 2025 | 263 | 591 | 44.5% |
| Feb 2025 | 405 | 1,629 | 24.9% |
| Mar 2025 | 291 | 561 | 51.9% |
| Apr 2025 | 121 | 390 | 31.0% |
| May 2025 | 113 | 398 | 28.4% |
| Jun 2025 | 82 | 209 | 39.2% |
| Jul 2025 | 132 | 522 | 25.3% |
| Aug 2025 | 129 | 447 | 28.9% |
| Sep 2025 | 161 | 613 | 26.3% |
| Oct 2025 | 128 | 483 | 26.5% |
| Nov 2025 | 118 | 392 | 30.1% |
| Dec 2025 | 91 | 333 | 27.3% |
| Jan 2026 | 523 | 530 | 98.7% |
| Feb 2026 | 1,101 | 1,106 | 99.5% |
| Mar 2026 | 358 | 360 | 99.4% |
| Apr 2026 | 485 | 491 | 98.8% |
| May 2026 | 779 | 785 | 99.2% |
| Jun 2026 | 594 | 842 | 70.5% |
| Jul 2026 | 658 | 1,143 | 57.6% |
| Aug 2026 | 272 | 640 | 42.5% |
| Sep 2026 | 147 | 638 | 23.0% |
| Oct 2026 | 8 | 30 | 26.7% |
Each record represents a source web page, not a verified incident. Different URLs can describe the same event. About these records.
A Spanish article discusses AI-assisted romantic fraud, simulated calls and organized activity. The headline’s scale claim is not a measured trend in this excerpt.
CommentaryAn explanatory article describes impostors using a Dubai prince’s identity. The impersonated person is not the offender and the persona does not locate an operation.
CommentaryMalaysian reporting says women were 60% of January recorded victims. Without exposure data that is a sample composition, not a sex-specific population risk.
Research & trendsCanadian Anti-Fraud Centre and Niagara police warn about relationship fraud. The brief uptick claim lacks a denominator or measured prevention effect.
Prevention & supportPeopleFinders provides romance-scam warning signs. This commercial-source advice is not an independent evaluation of a service or of prevention effectiveness.
Prevention & supportReports identify wanted suspect John Eric Wells and alleged losses of £400,000 involving three older women. A wanted notice and resemblance to an actor do not establish guilt.
Reported caseReports identify wanted suspect John Eric Wells and alleged losses of £400,000 involving three older women. A wanted notice and resemblance to an actor do not establish guilt.
Reported caseA prevention article cites $1.14bn in 2023 romance-scam losses. The brief description supplies no denominator or basis for treating this as a current-year total.
Prevention & supportA man says Ryan McVeigh used his identity and photographs on dating apps to rape, abuse and defraud seventeen women. Sexual violence and identity misuse are reported; the third-party identity owner is separate from the targeted women.
Reported caseA Malaysian report says 72% of recorded victims were aged 30–50. Without the age distribution of people at risk, that share does not establish that they are the most vulnerable.
Research & trendsDonegal Gardaí warn about deceptive relationship stories on dating sites and social media. Advice does not demonstrate prevention effectiveness.
Prevention & supportA prevention item, warning or educational event discusses romantic deception. Seasonal or growth claims in brief metadata are attributed and do not establish incidence or effectiveness.
Prevention & supportA prevention item, warning or educational event discusses romantic deception. Seasonal or growth claims in brief metadata are attributed and do not establish incidence or effectiveness.
Prevention & supportA support association says it handled 600 cases in two years and that 70% of users were over 65. Service-user characteristics are not population risk estimates.
Research & trendsCoverage describes AI-assisted romantic deception and warning signs. Repeated coverage and claims of greater persuasion do not independently measure AI effectiveness.
Prevention & supportCoverage describes attempts to induce home-equity borrowing. Threatened housing loss is not completed homelessness; the 761 suspicious identity-related applications in one report are not all proven romance fraud.
Research & trendsCoverage describes AI-assisted romantic deception and warning signs. Repeated coverage and claims of greater persuasion do not independently measure AI effectiveness.
Prevention & supportCoverage discusses AI-assisted romantic deception and prevention. Its claims of scale or persuasion are not independently measured in the retained text.
Prevention & supportCoverage discusses AI-assisted romantic deception and prevention. Claims of increasing sophistication or scale are not evaluated causal effects in the saved text.
Prevention & supportA warning, educational notice or advice item discusses romantic financial deception. The excerpt does not independently establish seasonal incidence or prevention effectiveness.
Prevention & supportCommentary discusses emotional manipulation or similarities with other fraud. It does not establish how often identity misuse or harms occur.
CommentaryA love-month commentary introduces online romantic scams without an incident or quantified evidence in the retained text.
CommentaryCoverage describes AI-assisted romantic deception and warning signs. Repeated coverage and claims of greater persuasion do not independently measure AI effectiveness.
Prevention & supportAn Italian headline claims housing loss but the description says the home was put at risk after online romance. Preserve the discrepancy and code only threatened housing harm.
Reported caseCoverage describes AI-assisted romantic deception and warning signs. Repeated coverage and claims of greater persuasion do not independently measure AI effectiveness.
Prevention & support