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.
An explanatory article uses Cassie and Linda personas and Words with Friends to discuss romance-fraud tactics. It does not establish distinct verified incidents for each syndicated copy.
CommentaryAn explanatory article uses Cassie and Linda personas and Words with Friends to discuss romance-fraud tactics. It does not establish distinct verified incidents for each syndicated copy.
CommentaryAn explanatory article uses Cassie and Linda personas and Words with Friends to discuss romance-fraud tactics. It does not establish distinct verified incidents for each syndicated copy.
CommentaryAn explanatory article uses Cassie and Linda personas and Words with Friends to discuss romance-fraud tactics. It does not establish distinct verified incidents for each syndicated copy.
CommentaryAn explanatory article uses Cassie and Linda personas and Words with Friends to discuss romance-fraud tactics. It does not establish distinct verified incidents for each syndicated copy.
CommentaryAn explanatory article uses Cassie and Linda personas and Words with Friends to discuss romance-fraud tactics. It does not establish distinct verified incidents for each syndicated copy.
CommentaryAn explanatory article uses Cassie and Linda personas and Words with Friends to discuss romance-fraud tactics. It does not establish distinct verified incidents for each syndicated copy.
CommentaryAn explanatory article uses Cassie and Linda personas and Words with Friends to discuss romance-fraud tactics. It does not establish distinct verified incidents for each syndicated copy.
CommentaryAn explanatory article uses Cassie and Linda personas and Words with Friends to discuss romance-fraud tactics. It does not establish distinct verified incidents for each syndicated copy.
CommentaryA report describes a man in Annaka losing money after social-media contact and supposed music-listening work. A job-like task is not automatically an investment.
Reported casePolice warn about fake dating profiles and requests for money or access. Examples describe possible tactics, not counted victim losses.
Prevention & supportPolice warn about fake dating profiles and requests for money or access. Examples describe possible tactics, not counted victim losses.
Prevention & supportA vendor’s discussion of fraud includes romance scams and deepfakes alongside other schemes. Its 73% figure is not a prevalence estimate for romance victimization.
Research & trendsBACS warns about AI-assisted romance deception. The warning does not demonstrate the effectiveness of any proposed protection.
Prevention & supportA police interview recounts an earlier arrest and recruitment via a supposed woman’s donation request. Recruitment is described, but the excerpt does not establish a particular laundering transaction.
Reported caseNakatsu police report a ¥6.27m loss after romance-linked cryptocurrency promises and issue a warning. The loss remains attributed to police.
Reported caseA Saga man reportedly sent about ¥5.4m after romantic messages and an auction-profit proposal. Nine transfers do not establish nine separate victims or repeated demands.
Reported caseAn influencer says misuse of her photos in dating scams has left her afraid. Her distress is an identity-misuse harm, not evidence that she took victims’ money.
Reported caseFukui police investigate a ¥23.63m cryptocurrency loss after contact with a woman on social media. The related-link ¥242m amount describes another report.
Reported caseQingdao police report arresting Li over fabricated occupational personas in multiple dating scams. The two-million-yuan scheme figure is not each victim’s loss.
Reported casePolice reportedly rescued a woman after alleged romantic and ritual promises to double pension money. Rescue does not establish return of the reported R1m loss.
Reported caseHangzhou police reportedly persuaded a woman not to transfer wedding funds after dating-site investment promises. The stopped amount is not a completed loss.
Reported caseAn explanatory report connects anonymous, fluid Japanese crime networks to romance fraud and other offences. Home robberies are not automatically harms to romance-scam victims.
Research & trendsA short article description claims one in four dating-app users has experienced romance fraud. The excerpt provides no sampling details; the claim is not treated as established prevalence.
Research & trendsA 91-year-old man reportedly lost a five-figure sum after contact through a dating platform. The woman’s presented age is not proof of her real identity.
Reported case