
Christina is a PhD candidate in the Political Science department at Purdue University, studying Comparative Politics and Political Research Methodology. Her research uses a combination of causal and computational methods to investigate changes in elite messaging, misinformation, and public opinion. At GRAIL, she works on maintaining the Political Deepfakes Incidents Database and understanding the role of watermarks and labels on deepfakes.
Christina is a PhD Candidate in the Department of Political Science at Purdue University and affiliated with the Governance and Responsible AI Lab (GRAIL) and the Computational Social Science Lab. She studies political communication and methodology, addressing how politicians use new social media platforms, learn about voters’ preferences on social media, and the impact of emerging technology on this elite-mass communication. She uses multi-methods research including interviews, text analysis, lab and survey experiments. Her most recent research has been published in journals such as The Communication Review, PS: Political Science & Politics, The AAAI Conference Proceedings, and Political Science Research and Methods. She received her MA from Purdue University in 2023.