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SUMMARY:Automatically Dismantling Online Dating Fraud - Matthew Edwards\, 
 Faculty of Engineering\, University of Bristol
DTSTART:20191029T140000Z
DTEND:20191029T150000Z
UID:TALK128554@talks.cam.ac.uk
CONTACT:Alexander Vetterl
DESCRIPTION:Online romance scams are a prevalent form of mass-marketing fr
 aud in the West\, and yet few studies have presented data-driven responses
  to this problem.  In this type of scam\, fraudsters craft fake profiles a
 nd manually interact with their victims. Due to the characteristics of thi
 s type of fraud\, and the peculiarities of how dating sites operate\, trad
 itional detection methods (e.g.\, those used in spam filtering) are ineffe
 ctive.\n\nThis talk will report on our investigation into the archetype of
  online dating profiles used in this form of fraud\, including their use o
 f demographics\, profile descriptions\, and images\, shedding light on bot
 h the strategies deployed by scammers to appeal to victims and the implici
 t traits of victims themselves.  Our work is presented in the context of b
 uilding and evaluating a machine-learning classifier for detecting spam pr
 ofiles\, and elaborates on our findings from investigating areas of under-
 performance.
LOCATION:LT2\, Computer Laboratory\, William Gates Building
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