Danaë is a Ph.D. candidate in the Computer Science Department’s Human-Computer Interaction Group at Stanford, co-advised by James Landay in Computer Science and Jeff Hancock in Communication.
Danaë’s research focuses on issues of web technologies and bias, including the expression of political opinions online, cognitive and psychological biases in web interfaces, and partisanship in search results.
Digital media including social media, online news, and search results, provide a record of the social and political climate, and the potential to influence information-seeking users on politically-relevant topics is significant. However, widespread public consumption of digital media entails risks including misinformation, potential echo chamber effects, and others. To this end, I am interested in using computational methods including data mining and algorithm audits to collect and analyze digital media in the context of politics and to build user-facing tools and running human subjects experiments to understand and improve citizens’ relationships with political media.