Social Bullets

Research revealed that for every 233 bullying posts online, one teenager attempts suicide. To show this staggering number to parents, an AI was trained on a database of over 2 million human-moderated posts from social media. Using machine learning, the algorithm was able to capture bullying posts from four major platforms used by students in the US, collecting more than 70,000 toxic comments each day. This led to Social Bullets, an experiment created to warn parents about the dangers of the internet by recreating a typical student's experience of social media.