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.
Tokyo police re-arrested a married man alleged to have impersonated an airline pilot on a dating app and promised marriage to obtain over one million yen.
Reported caseSource explanation of targeting loneliness, not a verified number of victims or location based on nationality.
CommentarySource explanation of targeting loneliness, not a verified number of victims or location based on nationality.
CommentarySource explanation of targeting loneliness, not a verified number of victims or location based on nationality.
CommentarySource explanation of targeting loneliness, not a verified number of victims or location based on nationality.
CommentaryRepeated general explanation; promotional allegations and recovery offers are unverified, not independent victim events.
CommentarySource explanation of targeting loneliness, not a verified number of victims or location based on nationality.
CommentarySource explanation of targeting loneliness, not a verified number of victims or location based on nationality.
CommentaryRepeated general explanation; promotional allegations and recovery offers are unverified, not independent victim events.
CommentarySource explanation of targeting loneliness, not a verified number of victims or location based on nationality.
CommentarySource explanation of targeting loneliness, not a verified number of victims or location based on nationality.
CommentaryRepeated general explanation; promotional allegations and recovery offers are unverified, not independent victim events.
CommentarySource explanation of targeting loneliness, not a verified number of victims or location based on nationality.
CommentarySource explanation of targeting loneliness, not a verified number of victims or location based on nationality.
CommentaryUnverified promotional account; no precise false personal identity, monetary loss or completed recovery established.
CommentaryRepeated general explanation; promotional allegations and recovery offers are unverified, not independent victim events.
CommentaryRepeated general explanation; promotional allegations and recovery offers are unverified, not independent victim events.
CommentaryRepeated general explanation; promotional allegations and recovery offers are unverified, not independent victim events.
CommentarySource explanation of targeting loneliness, not a verified number of victims or location based on nationality.
CommentaryThe title describes a woman losing 1.6 million to a purported US military doctor; the description aggregates more than ten romance reports and nearly five million. These are not unique-event counts.
Research & trendsThe title describes a woman losing 1.6 million to a purported US military doctor. Publisher boilerplate does not establish the victim location.
Reported caseA man in Aomori reportedly lost about 27,000 yen in cryptocurrency after a matching-app contact used video and an identity document to build affection and suggested investments for their shared future. Document presentation is not proof of identity theft.
Reported caseA judge reportedly lost 52 lakh through Tinder to a person claiming a secret government role. A question about bail is not a confirmed court disposition.
Reported caseAn Istanbul arrest concerns an alleged American-businessman persona, marriage promise and 2.5 million loss to a Hong Kong dentist. The clipped account-freeze phrase is not sufficient for a recovery code.
Reported caseGeneral relationship-based investment lure; no quantified loss or sexual violence inferred.
Commentary