I am a 5th year PhD student at the University of Michigan School of Information. My advisor is Paul Resnick. I also collaborate with faculty members including Qiaozhu Mei, Rahul Sami, Eytan Adar, Mary Gallagher (Political Science Dept. and Center for China Studies), and Jowei Chen (Political Science Dept.)
My broad academic interest is to apply cutting-edge computing technologies to study and solve social problems. My reseaerch areas include recommender systems, machine learning, computational political science, human computation, social media, and China study.
My dissertation is to explore different computer algorithms (SVM, graph-based models, semi-supervised learning, etc) and human computation (Amazon Mechanical Turk) to classify political articles into conservative and liberal. Read more...
- Recommending Drupal Modules
- The Conception of "Democracy" in Chinese Online Discussion
- BALANCE: Enhancing Diversity in News and Opinion Aggregators
- Leaderboard with Amazon Mechanical Turk, and openturk.org
- PhD Dissertation -- Liberal or Conservative: Evaluation and Classification with Distribution as Ground Truth
- Zhou, D. X., Resnick, P., & Mei, Q. (2011). Classifying the Political Leaning of News Articles and Users from User Votes. Paper presented at the ICWSM 2011.
- Ya-Wen Lei & Daniel Xiaodan Zhou (2010). Networks, Construction of Legality, and Beyond the Hidden Alliance in China: How could the game of “rule of law” be reinterpreted in public sphere?. OYCF Annual Forum 2010
- Munson, S., Zhou, D. X., & Resnick, P. (2009). Sidelines: An Algorithm for Increasing Diversity in News and Opinion Aggregators. ICWSM 2009.
- Munson, S., Zhou, D. X., & Resnick, P. (2009). Designing Interfaces for Presentation of Opinion Diversity. CHI 2009
- Zhou, D. X., & Resnick, P. (2009). Assessment of Conversation Co-mentions as a Resource for Software Module Recommendation. ACM RecSys'09.
- Zhou, D. X., Oostendorp, N., Hess, M., & Resnick, P. (2008). Conversation Pivots and Double Pivots. ACM CHI Conference'08