Current Graduate Students
My research interests center around political and social communication. I am primarily interested in political communication and credibility conditions with specific applications in: political messaging, elite communication, social discourse, and preference durability in the face of adversarial communication. In addition, I am interested in the social norms imposed by social media and how ideological outlier statements translate into policy preferences and voting.
Stewart M. Coles
Sedona researches persuasive communication strategies that influence opinion formation and attitude change concerning science and the environment with attention to political implications. Current research includes media and scientific knowledge, perceptions of uncertainty, and computer-aided content analyses of environmental news. Sedona received her B.A. in International Relations from Saint Anselm College.
Dam Hee Kim
Ph.D. Candidate in Communication Studiesdheekim@umich.edu
Ph.D. Candidate in Communication Studies
I study communication of public opinion and its psychological underpinnings by looking at public perceptions of and reactions to the coverage of public opinion. I explore how these communicative processes influence trust in journalism and political polarization at large. In a second and related line of research, I investigate measurement issues in social media use and political engagement.
PhD Candidate, ABD.
Expected Graduation: Spring 2018
Former Graduate Students
S. Mo Jang
Assistant Professor, School Journalism and Mass Communications, University of South Carolina, Columbia
S. Mo Jang (Ph.D., University of Michigan, 2014) is an assistant professor in the School of Journalism and Mass Communications at University of South Carolina. His research interests include big data analysis on social media and public opinion about political and science issues.
Undergraduate Student in Communication Studies
Jake Prosyniuk is an Undergraduate Student in Communication Studies. His research explores new media's applications as measures of public opinion. Past research includes investigations of whether Twitter could be used to predict economic indicators, of what self-reported traits predict sharing behavior on Facebook, and of where collaboration between communication and computer scientists is occurring. Currently studying whether trends in 2008 election sentiment can be predicted by Twitter data.