Weird dataset: identifying sexual predators in chat rooms by Danny Bickson.
From the post:
To all of the bored data scientists who are looking for interesting demo. (Alternatively, to all the startups who want to do a fraud detection demo). I stumbled upon this weird dataset which was part of PAN 2012 conference: identifying sexual predators in chat rooms.
I wouldn’t say you have to be bored to check out this dataset.
At least it is a worthy cause.
For that matter, don’t you wonder why Atlanta, GA, for example, is a sex trafficking hub in the United States? Or rather, why hasn’t law enforcement be able to stop the trafficking?
Last time I went out of the country you had to come back in one person at a time. So we have the location, control of the area, target groups for exploitation, …, what am I missing here in terms of catching traffickers?
Sex traffickers don’t wear big orange badges saying: Sex Trafficker but is that really necessary?
Maybe law enforcement should make better use of the computing cycles wasted on chasing illusory terrorists and focus on real criminals coming in and out of the country at Hartsfield-Jackson Atlanta International Airport.