Online dating and scam nigeria
By then, Morrison knew she was dealing with a scammer.
"The story was getting more and more bizarre," she says.
The result, Scamalytics, is a company that’s able not only to identify a number of key profile traits—in the “low hundreds,” says Winchester—but to measure how they play against one another for a more complete picture of who’s real and who’s swindling.“Features that in isolation may not give you too much information, in combination become much more powerful,” says Winchester.
“We then take the learnings from that academic exercise, and try to scale them up into a production environment that works at enormous speed.”Some of those indicators are proprietary, but a few are fairly obvious.
The man Rhonda Meade fell in love with promised to elope with her to a tropical island paradise where they could be married along white beaches as the setting sun shimmered across vast, crystal-clear waters.
But, the only thing that ran away from the 36-year-old single mother’s life of hardship would eventually be all her savings and the security she had entrusted with “Walter.”Meade, whose name has been changed to protect her identity, was one of millions of people who flock to the Internet each year in search of romance and a long term relationship.
Messenger from October 2006 through February 2007, Walter, a self-described white collar engineer and college sports enthusiast, ended up taking the spellbound Meade for the ride of her life.“We were going to get married,” she recalls, fighting back tears.
“But, then, he told me he had lost his job, was laid off, and that he was in need.
“I thought he was too good to be true.”Chatting nightly over Yahoo!
An exotic stranger needs help, and you’re the only one able to provide it.
On any given day, a handful of those pleas still file into your email’s spam folder.
Suddenly I had to stop doing new features and trying to acquire new users,” in order to keep up with squashing scammers.
There was no dedicated screening service at that time, Winchester says. Well, he did along with an acquaintance, Nick Tsinonis, who already had expertise using machine learning to help match dating site users based not on their expressed preference, but on behavior.