This article provides an insightful look into a project focused on monitoring online hate speech in South Sudan. The project is a joint collaboration pilot project between iHub Research and Search for Common Ground (SfCG).
This article deals with a supervised machine learning text classifier, trained and tested to distinguish between hateful and/or antagonistic response with a focus on race, ethnicity or religion; and more general responses.
This recorded talk with Susan Benesch, a fellow at Harvard’s Berkman Center for Internet & Society deals with data driven methods to decrease hate online.
This portal gathers an annotated collection of recent research on the ways in which social media and new technologies may be leveraged in the fight against violent extremism