A new tool can identify Twitter accounts engaging in bullying with over 90% accuracy, according to researchers.
Its algorithms classify two specific types of offensive online behaviour – cyber-bullying and cyber-aggression.
Researchers at Binghamton University say it could be used to help find and delete abusive accounts.
Cyber-bullying has become a widespread issue, with one in three teenagers living in fear of online abuse, according to charity Ditch the Label.
Jeremy Blackburn, a computer scientist on the research team, said the algorithms used information from Twitter profiles and looked for connections between offensive accounts.
“We built crawlers – programs that collect data from Twitter via a variety of mechanisms,” he said…