Automated Visual Context for News Articles

Datalab Faculty

Jessica Hullman

Project Description

Expert journalists and designers often present visualized data related to an article to help people gain context for what they are reading (e.g., a locator map to help readers place a foreign location). The systems we are developing analyze the text of a news article, identify relevant datasets, and produce automated, annotated visualizations to help readers better understand the context of the article.