Tracking online hate speech that follows real-world events
A machine-learning analysis has revealed patterns in online hate speech that suggest complex—and sometimes counterintuitive—links between real-world events and different types of hate speech. Yonatan Lupu of George Washington University in Washington, D.C., and colleagues present these findings in the open-access journal PLOS ONE on January 25.
source: Phys.org