κατάπτωση της εγγύησης Η αναγέννηση της Μασσαλίας
The new algorithms have been designed specifically to understand what fake dating profiles look like and then to apply this knowledge when they scan profiles submitted to online dating services. They automatically look out for suspicious signs inadvertently included by fraudsters in the demographic information, the images and the self-descriptions that make up profiles, and reach an overall conclusion as to the probability of each individual profile being fake. When tested, the algorithms produced a very low false-positive rate the number of genuine profiles mistakenly flagged up as fake of around 1 per cent. The aim is now to further enhance the technique and enable it to start being taken up by dating services within the next couple of years, helping them to prevent profiles being posted by scammers. The work on the textual and other computer characteristics of online dating messages and profiles was led by Professor Awais Rashid now at the University of Bristol, previously at the University of Lancaster and Dr Gianluca Stringhini previously at UCL and now at Boston University. Other aspects of the initiative have, for example, focused on better understanding of the psychology of people most likely to become repeat victims of online scams. Professor Sorell says: Using AI techniques to help reveal suspicious activity could be a game-changer that makes detection and prevention quicker, easier and more effective, ensuring that people can use dating sites with much more confidence in future.