42% of Omsk youth are signed on the forbidden communities of social network "VKontakte"

Scientists of Tomsk state university (TGU) developed algorithm for identification of the users of a social network of social network "VKontakte". Communities with a "harmful" content are at helps sistema monitoringa i analiza sotsialnykh media "Kribrum". For search accuracy scientists use linguistic markers: "kolumbayn", "drugs", "depression", "loneliness", "pain", "hatred". In 436 scientists revealed communities formulated 12 thematic directions ("tin", "nationalism", "weapon" and others). At helps algorithm of 60 thousand Tomsk users of social network "VKontakte" 14-17 years and 18-23 years were...