Find reporting by topic, place or language. Open a record to see why it was included and what the available evidence supports.
Matching coverage over time
Technical facilitation
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.
Himeji police received a report from a woman aged 63 of about JPY 3.38 million lost after a matching-app contact promised profitable investing and living together. Police are investigating as romance fraud. Preserve promise and actual alleged loss; no proved recovery or complete procedural date.
The Cleveland charge headline and prosecutor’s description name Frederick Kumi/Abu Trica, alleged distribution of stolen funds and artificial identities on dating apps. Distributing funds is not itself an explicit completed laundering offence; the AI identity technique remains unspecified.
Macerata reporting describes an Instagram engineer persona, false affection and EUR 17,000 extraction; a Nigerian recipient of the last of three transfers is accused. Neither receipt of a transfer nor under-accusation wording establishes a proved laundering role or a formal conviction.
The sparse headline states an SNS-romance-fraud loss of JPY 130 million and a prefectural record amount. It does not identify the prefecture, victim demographic, assets or incident date; those fields are not copied from the separate Yamagata source.
Tsukuba police report a man aged 55 losing JPY 12.69 million after an SNS contact posing as a Japanese woman, and investigation as SNS romance fraud. The purported Japanese persona is not a verified operation location.
Donggang police and a shop worker reportedly stopped a 73-year-old Wu man buying TWD 20,000 in convenience-store credit codes after a claimed woman’s funeral emergency. This is an attempted financial romance scam; the funeral is the pretext, not the victim’s verified bereavement. No completed payment is stated.
Macau police arrested two women in separate investment cases, one tied to online romance, with a combined MOP 26 million loss and victim complaints. Keep the two-case aggregate mixed; neither the entire amount nor both cases is romance-only.
Fukuoka police report a woman aged 58 losing crypto worth JPY 27.6 million through SNS romance fraud; the headline says a friend recognized the scam. This is specific practical warning/help, not evaluated prevention or a claimed operation nationality.
The source reports a Macerata woman sending about EUR 17,000 to a stranger after messaging during marital difficulties. Marital crisis is context, not established isolation or causation; neither the other article’s Irish engineer persona nor a conviction is borrowed.
The prosecutor reports arrest of Deymar Daniela Urbano Aragot, aged 26, allegedly using AI voice/male impersonation to target women’s vehicles. The purpose of taking vehicles is not proof of completed property loss. No prosecutor’s nationality or jurisdiction is inferred from his name.
Macerata reporting describes an Instagram engineer persona, false affection and EUR 17,000 extraction; a Nigerian recipient of the last of three transfers is accused. Neither receipt of a transfer nor under-accusation wording establishes a proved laundering role or a formal conviction.
The source names Frederick Kumi/Abu Trica, Ghana arrest, a US Justice Department indictment and alleged $8 million AI-fueled romantic fraud. No specific synthetic-media technique or completed conviction is given.
The source describes a Hsinchu woman’s TWD 3.75 million loss and a courier who reportedly developed a relationship through a gay dating website and accepted TWD 1,500 per collection. Distinguish the targeted woman from the alleged courier claiming romantic victimization; the virtual-currency account mention does not prove actual crypto transfer, trafficking or innocent participation. The courier’s claimed relationship-victimization remains source-associated and alleged; it is not proof that a genuine partner was a false persona or that his participation was innocent.
The source reports a prosecutor’s arrest of a woman aged 26 for alleged love-scam/catfishing with AI in the title. The saved text does not itself identify a particular voice/face technique, male persona, vehicle loss or country.
The repeated headline says a woman was arrested for allegedly using an AI-generated voice in a love scam. It does not itself name her, locate the jurisdiction, identify a male persona or establish property loss.
A Houlong/Miaoli woman aged 69 identified as Xu was drawn into false romantic attention on Line and tried to buy TWD 30,000 game credits as a meeting deposit. A shop worker and police stopped the purchase. This is attempted extraction/interception, not completed loss or a verified deposit requirement.
Hofu police report a man in his fifties losing crypto worth JPY 7.6 million through SNS romance fraud, described as affinity manipulation. Police announcement is not an arrest or complete incident date.
Matt Barnes addresses rumours that an AI-model dating contact swindled him. Preserve a disputed allegation, not verified victimization or an explicit denial that the excerpt does not quote.
The Xiaohongshu report gives 756 platformscamcases with a category table including 43 fake-dating reports among shopping/installment/investment/paid-sex scams. Preserve the attributed mixed taxonomy; do not turn all 756 or paid-sex fraud into romance cases or infer financial totals.
Wildeshausen 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.
The shorter Fukushima police source reports 116 recognized SNS-investment/romance cases in January–November versus prior-year counts. These are mixed-category source statistics, not 116 romance-only cases or a year inferred from observation time; the loss figure is absent.
The saved description explicitly identifies online romance and a Bay Area woman draining retirement accounts, then an AI assistant warning her. Code reported financial harm and AI assistance, not attacker face/voice generation, evaluated effectiveness or a new recovered amount.
Fukushima police report 116 recognized SNS investment/romance cases during January–November, exceeding 110 last year and 16 more than the comparable period. These remain mixed-category, attributed figures; do not treat 116 as romance-only or fill in a calendar year from observation time. The loss amount is truncated. The paragraph expressly reports a financial-loss amount, although its full number is truncated. Code financial harm in mixed scope while keeping the exact full amount unknown; incomplete quantification is not absence of a reported financial-harm theme.
Wildeshausen 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.
Wildeshausen 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.