GoKawiilSenate report finds Match Group apps slow to update fraud-detection systems
A joint investigation by Senators Maggie Hassan and Marsha Blackburn into romance scams on Match Group platforms found that Tinder had not updated most of its machine-learning fraud-detection models in years, weakening its ability to catch scammers. Company data cited in the report showed nearly 1.5 million suspected scammers or bad actors on Tinder and Hinge matched with at least one user through the third quarter of 2025, with close to 500,000 going on to exchange contact information with victims.
GoKawiil's interpretation of the reporting above, not reported fact.
The findings suggest a gap between the scale of romance fraud—estimated by the senators at $1.3bn a year nationally—and the pace at which major dating platforms have updated their safeguards. Lawmakers' focus on internal company documents could increase pressure on Match Group to overhaul detection systems and may fuel calls for stronger regulation of dating-app safety practices.
- Senators Hassan and Blackburn's investigation examined romance scams across Match Group apps including Tinder, Hinge and Plenty of Fish.
- Internal data showed Tinder had not updated most fraud-detection machine-learning models in years as of late 2025.
- Nearly 1.5 million suspected bad actors matched with users on Tinder and Hinge, and about 500,000 exchanged contact details with victims.
Source: theguardian.com — Anna Betts, 2026-10-14
Published there as: “US report details extent of 'devastating' dating-app scams”
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