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Home - News & Analysis - Dating App Scammers Spotted By AI
News & Analysis

Dating App Scammers Spotted By AI

ISBuzz TeamBy ISBuzz TeamJune 3, 2019Updated:May 8, 20252 Mins Read
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Scams on dating sites and apps were hard to tackle because they were usually not large campaigns and were not generated automatically. Profiles of fakes and scammers used more images and “emotive language”. The common words employed were “caring”, “passionate” and “loving”. The system was trained using almost 15,000 profiles from the free Dating ‘N More website. The computer science project used data from the service because it publicly posts fake profiles when they are discovered.

Statistics gathered by the UK’s police reporting centre Action Fraud suggest British people lost £50m to romance scams in 2018, as reported by the BBC.

Jake Moore, Security Specialist at ESET:

“This is an absolutely brilliant use of AI but it still shouldn’t be relied upon completely. There will always be false positives and other mistakes, so people still need to be aware of scams on dating sites and use common sense when communicating with people they do not know in real life. You wouldn’t give someone you have never met any money, so it should be the same online. Romance scams are popular because they prey on vulnerable people looking for love, and the victims want to believe what they are reading and seeing, which causes them to forget basic protection from scams.

If a suspicious profile crops up on a dating site, it should be immediately reported to the site who will be able to look into it. In certain cases, the dating apps should be able to log the data surrounding the profile and be able to forward it on to the police. Typically scammers like to take on the persona of a fictitious soldier who looks like the perfect gentleman. One tactic that you can use to check its authenticity is by placing the profile picture into Google’s image search to see where else that image has been used. This will usually flag up any suspicious looking profiles.  

ISBuzz Team
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The opinions expressed in this post belong to the individual contributors and do not necessarily reflect the views of Information Security Buzz.

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