Detection of Inflammatory Users on Twitter in the Global South

Info about the Project

This project explores an approach to support distributed social media tracking initiatives within low-resource language contexts. Specifically, it seeks to understand the dynamics of users who spread inflammatory content online within the context of the Ethiopian civil conflict.
Faculty: 
Michael Best
Students: 
Cuong (Johnny) Nguyen, Daniel Nkemelu, Ankit Mehta