Online hate speech is on the rise, as well as the connections between the hate speech on social networks and physical violence carried out in the outside world. Hate speech itself is not a new phenomenon, but what is new is the speed and scale with which it spreads because of increased access to technology, massive use of social media, and other means of online communication. With increased online interactions and the high speed of sharing, the need for scalable methods of hate speech detection has grown substantially. These challenges have been attracting data and practitioners’ communities in the last few years and have led to efforts to utilize data-driven approaches to detect and moderate hate speech. Advanced data science methods can assist in providing a real-time view of hate speech, giving a more complete picture, and providing potential tools to respond and prevent violence in a human-centered way. Join us to discuss the possibilities of utilizing data-proven techniques to detect and respond to hate speech and violent extremism effectively and consider the possibilities of scaling these approaches in different countries all over the world.