SONIC graduate student, Diego Gomez-Zara, will present one poster at the Computational + Journalism Symposium (C+J) 2017 held at Northwestern University on October 13th, 2017. We present a system that identifies the main entities of the article, and it uses dictionaries based on fictional characters and sentiment analysis to determine when an entity is being cast as a hero, villain, or a victim. This system interacts with news consumers directly through a browser extension. Our hope is that by informing readers when an entity is cast in one of these roles, we can make implicit bias explicit, and assist readers in applying their media literacy skills.
Advancing The Science of Networks in Communities
