https://www.sciencedaily.com/releases/2018/06/180611144128.htm

The new approach, developed by CU Boulder'sCyberSafety Research Center, combines several different computing tools to scan massive amounts of social media data, sending alerts to parents or network administrators that abuse has occurred.

It's rocket fast, too: In recently published research, the group reported that their approach uses five times less computing resources than existing tools. That's efficient enough to monitor a network the size of Instagram for a modest investment in server power, said study co-author Richard Han.