Yixue Wang

Ph.D. student in the Technology and Social Behavior program at Northwestern, focusing on computational journalism and social science. She is a member of the Computational Journalism Lab at Northwestern, a Data Science fellow at Northwestern Data Science Initiative, and was a data engineer at a political analytics startup before her Ph.D.

Projects

Projects Yixue Wang has worked on.

Personalize My StoryAutomatically Adapting News Article Text for Individual Users

Algorithmic news curation aggregators (e.g. Google News) are sometimes known to personalize the selection of stories shown to individuals. But far less is known about the potential for article-level personalization in which an article is automatically re-written to appeal to different types of users, perhaps even adapted to each individual. Could this be used to manipulate, persuade, inform, or engage people more effectively? The goal of this project is to prototype one or more templates for automated news articles that adapt to different types of people or individuals based on a given user model based on the types of information a news site might know (e.g. gender, age, race, location, interest-level, etc.). These templates will be used to produce personalizable news articles that are published to the web.