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.
Each record represents a source web page, not a verified incident. Different URLs can describe the same event. About these records.
A victim account describes having to sell a home, losing thousands and feeling heartbroken. Distress is not a clinical diagnosis, and the report supplies no precise loss.
Reported caseAn unnamed suspect is expected to face additional charges involving six women and nearly £600,000. The charges are prospective and the allegations unresolved.
Reported caseAn unnamed suspect is expected to face additional charges involving six women and nearly £600,000. The charges are prospective and the allegations unresolved.
Reported caseAn unnamed suspect is expected to face additional charges involving six women and nearly £600,000. The charges are prospective and the allegations unresolved.
Reported caseA Varese report describes four transfers and proceedings concerning a supposed American doctor met online. The alleged persona is not verified nationality; no total loss is supplied.
Reported caseMalaysian police reporting gives January love-scam losses of RM3.5m. More detailed versions give 100 reports and a lower loss total than the prior January; incident counts and monetary totals are different measures.
Research & trendsA Thane resident reports losing Rs34.10 lakh after a matrimonial-site contact promoted crypto investment and demanded more to withdraw. Headline and description disagree on age, 34 versus 30; preserve that discrepancy. The crypto platform does not establish that payments themselves were cryptocurrency transfers.
Reported caseMalaysian police reporting gives January love-scam losses of RM3.5m. More detailed versions give 100 reports and a lower loss total than the prior January; incident counts and monetary totals are different measures.
Research & trendsMalaysian police reporting gives January love-scam losses of RM3.5m. More detailed versions give 100 reports and a lower loss total than the prior January; incident counts and monetary totals are different measures.
Research & trendsMalaysian police reporting gives January love-scam losses of RM3.5m. More detailed versions give 100 reports and a lower loss total than the prior January; incident counts and monetary totals are different measures.
Research & trendsMalaysian police reporting gives January love-scam losses of RM3.5m. More detailed versions give 100 reports and a lower loss total than the prior January; incident counts and monetary totals are different measures.
Research & trendsA commentary claims large Ghanaian losses and expanding criminal networks. The excerpt gives no documented period or data series for those claims.
CommentaryA woman from North Rhine-Westphalia reportedly paid a five-figure sum over several years to a fake Nico Santos profile. The excerpt does not give a precise total.
Reported caseA report combines an attributed $36m Illinois romance-fraud figure with a Chicago victim’s $70,000 loss and AI claims. The individual loss must not be added to an overlapping aggregate.
Research & trendsA report combines an attributed $36m Illinois romance-fraud figure with a Chicago victim’s $70,000 loss and AI claims. The individual loss must not be added to an overlapping aggregate.
Research & trendsA report combines an attributed $36m Illinois romance-fraud figure with a Chicago victim’s $70,000 loss and AI claims. The individual loss must not be added to an overlapping aggregate.
Research & trendsA report combines an attributed $36m Illinois romance-fraud figure with a Chicago victim’s $70,000 loss and AI claims. The individual loss must not be added to an overlapping aggregate.
Research & trendsA report combines an attributed $36m Illinois romance-fraud figure with a Chicago victim’s $70,000 loss and AI claims. The individual loss must not be added to an overlapping aggregate.
Research & trendsA report combines an attributed $36m Illinois romance-fraud figure with a Chicago victim’s $70,000 loss and AI claims. The individual loss must not be added to an overlapping aggregate.
Research & trendsA report combines an attributed $36m Illinois romance-fraud figure with a Chicago victim’s $70,000 loss and AI claims. The individual loss must not be added to an overlapping aggregate.
Research & trendsA report combines an attributed $36m Illinois romance-fraud figure with a Chicago victim’s $70,000 loss and AI claims. The individual loss must not be added to an overlapping aggregate.
Research & trendsA Taoyuan woman reportedly lost NT$7m after dating-app contact and complained to police. The article also gives combined investment/dating-fraud rankings; those broader totals are not romance-only.
Reported caseA report combines an attributed $36m Illinois romance-fraud figure with a Chicago victim’s $70,000 loss and AI claims. The individual loss must not be added to an overlapping aggregate.
Research & trendsA report combines an attributed $36m Illinois romance-fraud figure with a Chicago victim’s $70,000 loss and AI claims. The individual loss must not be added to an overlapping aggregate.
Research & trendsA report combines an attributed $36m Illinois romance-fraud figure with a Chicago victim’s $70,000 loss and AI claims. The individual loss must not be added to an overlapping aggregate.
Research & trends