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 | 352 | 591 | 59.6% |
| Feb 2025 | 489 | 1,629 | 30.0% |
| Mar 2025 | 209 | 561 | 37.3% |
| Apr 2025 | 162 | 390 | 41.5% |
| May 2025 | 232 | 398 | 58.3% |
| Jun 2025 | 86 | 209 | 41.1% |
| Jul 2025 | 272 | 522 | 52.1% |
| Aug 2025 | 253 | 447 | 56.6% |
| Sep 2025 | 273 | 613 | 44.5% |
| Oct 2025 | 251 | 483 | 52.0% |
| Nov 2025 | 174 | 392 | 44.4% |
| Dec 2025 | 200 | 333 | 60.1% |
| Jan 2026 | 222 | 530 | 41.9% |
| Feb 2026 | 447 | 1,106 | 40.4% |
| Mar 2026 | 175 | 360 | 48.6% |
| Apr 2026 | 239 | 491 | 48.7% |
| May 2026 | 171 | 785 | 21.8% |
| Jun 2026 | 214 | 842 | 25.4% |
| Jul 2026 | 469 | 1,143 | 41.0% |
| Aug 2026 | 319 | 640 | 49.8% |
| Sep 2026 | 373 | 638 | 58.5% |
| Oct 2026 | 17 | 30 | 56.7% |
Each record represents a source web page, not a verified incident. Different URLs can describe the same event. About these records.
The source reports 67,735 national cybercrimecases and over RM 2.7 billion loss for January–November, including 978 love-scam cases among several categories. The aggregate loss is mixed, not a romance-only total; preserve 978 versus 977 in the separate source rather than silently reconcile them.
Research & trendsKaarst reporting says AI kidnapping images were a fake pretext in a senior woman’s love-scam loss, with police warnings. This is not verified kidnapping, trafficking or actual captivity.
Reported caseThe source explicitly describes a romance-and-investment rare-oil scheme using fake female dating profiles and a girlfriend’s photograph, allegedly taking Rs 1.90 lakh (190,000 rupees) from an AIIMS researcher. AIIMS is not evidence of an AI tool; Ugandan nationality does not locate the operation. Keep the source rupee wording; neither the currency abbreviation nor the offender’s nationality assigns an operation or victim country.
Reported caseThe source names Frank Abel, aged 31, on trial for allegedly taking EUR 1,450 from a Padua woman after chat contact and a false war-surgeon/Kabul/chest-in-England persona. Kabul and England are scam pretexts, not actual operation locations. Trial is not conviction or sentence.
Reported caseThe widow/ChatGPT source’s title describes a threatened home and saved funds, while its paragraph says she lost nearly another GBP 1 million and gives an unverified 300 percent holiday-crypto-fraud claim. Preserve inconsistent near-loss/completed-loss wording and threatened housing, not a harmonized actual loss or proven home seizure. AI assistance is not attacker face/voice generation.
Reported caseWildeshausen reporting alleges a recruitment conversation teaching a woman to target older men’s savings through dating apps, followed by a police apartment search finding firearms/ammunition. Planned extraction is not completed victim loss; found weapons are not proof of an additional firearms offence.
Reported caseThe second section URL repeats the retired Chen/fake female soldier/TWD 40,000 interception account. Preserve URL and source identity without inflating victim or loss counts.
Reported caseA police-recovery feature includes a romance-fraud victim losing GBP 32,000 among people receiving money back. The GBP 1.2 million headline is mixed scam recovery, not a single romantic victim’s loss or reimbursement. Retain actual reported return, with geography and dates unknown.
Related mentionA retired Chen man in his seventies believed in a cross-border romance with a supposed Korean-American female soldier in Syria. Police/bank staff blocked TWD 40,000 for a fabricated airport/customs emergency. The supposed detained partner is a pretext, not verified custody, military affiliation or operating geography; no completed loss.
Reported caseThe Swiss retiree reportedly lost CHF 100,000 to a false Brad Pitt, with expert guidance. Preserve currency and Swiss nationality attribution without equating this with an unnamed EUR 100,000 retiree or Anne’s EUR 830,000 account.
Reported caseYurihonjo police report a man in his fifties losing JPY 700,000 to romance fraud after a person he liked suggested gold trading. Keep the relationship-affinity and investment pretext, without an inferred false identity, country of the contact or incident year.
Reported caseThe sparse French account names Sandrine and EUR 50,000 lost through a false Ukrainian soldier romance pretext. This is attributed reporting, not proof of actual military involvement, perpetrator nationality or evaluated incidence increase.
Reported caseFrench reporting describes multiple women targeted by false Ukrainian soldiers using lack-of-food stories and sums up to EUR 50,000. These are relationship/payment pretexts, not verified troop nationality, real starvation, total losses or a count of distinct victims.
Research & trendsNasushiobara police describe a 46-year-old woman losing crypto worth JPY 11,919,139 after a supposed Japanese man’s contact developed into intimate conversations and investment urged to build trust. Persona nationality is not a geographic role; do not turn relative/yearless dates into full dates. The victim explicitly reported the loss to police; do not infer an arrest from that filing.
Reported caseFrench reporting describes fabricated Ukrainian-soldier identities, prolonged emotional relationships and thousands of euros sent. Preserve general/multiple-case mechanism claims and source-specific French victims where explicit; soldier nationality is a persona, not a verified military or operation location. Social-network contact is explicit in the headline; cite that field rather than infer it from the paragraph.
Research & trendsAuthorities reportedly arrested three South Korean men in Vietnam linked to deepfake romance fraud and forced victims into online fraud operations in Cambodia. Retain the explicit coercion, alleged losses exceeding USD 1 million and country roles; no completed extradition or perpetrator guilt established.
Reported caseNeipu police/store staff stopped a 55-year-old Hu woman buying TWD 60,000 gift cards for a supposed Shanghai husband’s airport-injury settlement. Fabricated relationship and emergency/payment pretexts are explicit. The alleged injured traveller is a pretext, not proved physical harm, and Shanghai/Kaohsiung do not locate the perpetrator.
Reported caseThe Taichung headline says a 60-year-old woman in a fake Doctors Without Borders trap lost TWD 27.72 million, but the description gives TWD 27.75 million over 83 payments. Preserve this discrepancy; five couriers/coin dealers detained and assets/Bitcoin ATMs seized do not prove reimbursement or a laundering conviction. The Doctors Without Borders trap is source-labelled; real affiliation is unverified. Bitcoin ATM seizure is explicit, not a proved communication channel or money returned.
Reported caseA Jonesborough headline says three people were sentenced after a man lost more than USD 86,000 and died by suicide. Prosecutors associate the fraud with his death; this is an attributed link, not independent causal proof. Celebrity posing appears in the truncated paragraph without a complete identity.
Reported caseThe source describes a 68-year-old retiree losing EUR 240,000, savings and his home to a fake Lara Fabian relationship and receiving consolation from the real singer. Keep financial/housing loss and practical support attributed; the singer is impersonated, not an offender, and clinical outcomes/date are absent. The singer’s consolation is emotional support, not a practical recovery intervention or repayment.
Reported caseDOJ reporting describes three sentenced defendants, two Nigerian men and a Sudanese woman, in an East Tennessee retired teacher’s life-savings fraud followed by suicide. This is a source-associated death, not independently established causation; defendant nationality does not locate operations or establish victim count.
Reported caseTaichung reports a 60-year-old woman in a fake-dating trap paying 83 times through transfers, cash handovers and crypto, losing TWD 27.75 million. Police detained five couriers/coin dealers and seized USDT, Bitcoin ATMs and vehicles. These are 83 payments, not victims; seized assets are not confirmed reimbursement and general ATM laundering explanation is not proof every named person laundered. Bitcoin ATMs are explicitly described, but a romantic communication platform is not. Retain the technical device separately from crypto transfer rather than inventing a platform.
Reported caseKuroishi police report an Aomori man in his twenties losing JPY 2.45 million after dating-app Momoko, Line and JHYD crypto-investment contact. Initial displayed/received profits and later increased payments are attributed; no verified identity, nationality or full year for October/November dates inferred. Small displayed/received profits are described, but a separate explicit return promise is absent. Keep the investment solicitation and omit a duplicate promised-returns subtype.
Reported caseYonghe police reportedly stopped a 77-year-old Li man from an affection trap involving a female online contact, with TWD 4.8 million in the headline. This is attempted payment/interception, not completed loss; the excerpt truncates the proposed sequence.
Reported caseTaiwan police publish mixed Xiaohongshu fraud statistics and a network-access restriction, explicitly describing fake dating leading to Line investment groups. Retain the 43 fake-dating category as attributed and separate from the 1,706 two-year and other subtype counts. Investment AI videos do not prove AI-assisted romantic impersonation; paid-sex fraud is a separate category. The mixed-fraud paragraph explicitly reports AI-made financial-analysis videos. Code that attributed technique only in mixed scope; it does not establish romantic face/voice impersonation.
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