Conflict, bias, and sentiment in social media

This project develops methods for modeling, detecting and measuring civil conflict as reflected in social media, as well as the associated informational biases in the news media. The goal is to combine different measures of verbal and non-verbal user behavior and the associated network-scale effects in order to track conflict development over time.

We view the problems of conflict and bias detection as inherently intertwined, since conflicts often lead to biased interpretations on both sides. The goal is to evaluate the hypothesis that identifying user communities divided with respect to a set of polarizing issues will allow us to characterize relevant information sources in terms of ideological biases propagated by the opposing sides.



This work is supported in part by the U.S. Army Research Office under Grant No. W911NF-16-1-0174