Associate Professor of Advertising + Public Relations
I study how platform affordances, social identity, and computational methods reshape political communication and the information ecosystem.
My work sits at the intersection of political communication, platform studies, and computational social science.
How the technical features and affordances of communication platforms shape the content and strategies of political campaigns. Central to this work is the Identity Driven Information Ecosystem (IDIE) framework.
How algorithms and user behavior influence content exposure and engagement, including how news engagement on Facebook skews ideologically and how negativity drives public interaction with advocacy content.
How political identity manifests through consumer choices and cultural signals — from music preferences and podcast selection to television viewing and visual imagery as reflections of partisan identity.
Digital wellness content, science-influencer polarization, environmental messaging effectiveness, and how social identity and norms shape health-related behaviors including sports-gambling engagement.
Peer-reviewed journal articles. Full list and citation metrics on Google Scholar.
The ASPECT Lab at Michigan State University investigates how the information we encounter, engage with, and act upon is shaped by internal psychological factors and external technological structures.
We draw on computational methods, large-scale data collection, survey research, and experimental design to understand modern communication ecosystems, with a focus on how social identities systematically shape the information environments people inhabit.
We are always looking for motivated graduate students in political communication, computational methods, or platform studies. Get in touch.
Current and former Ph.D. students I advise and have advised.
Digital advertising, analytics, computational methods, and data science.
A hands-on course covering campaign management, digital metrics, platform analytics, and data-driven advertising strategy, using real and simulated datasets.
UndergraduateAn advanced course covering sophisticated measurement techniques, attribution modeling, and applied data analysis for digital advertising campaigns.
UndergraduateA graduate-level introduction to Python for communication researchers — data collection, manipulation, and analysis for computational social science.
GraduateAn intensive workshop providing hands-on training in data science methods and computational tools for graduate students and faculty across the College.
WorkshopPresented “Enemies of the (E)state: News, Attacks, and a Free Press” at UCLA’s Political Communication & Behavior Lab.
Fioroni, Hiaeshutter-Rice, and Ploger presented work on rethinking the impact of “bad press” at the AAPOR annual conference.
New work on news, press attacks, and press freedom presented at the Midwest Political Science Association conference in Chicago.
I welcome inquiries about research collaborations, prospective graduate students, and speaking opportunities.
404 S. Wilson Rd., Room 309
Department of Advertising + Public Relations
Michigan State University · East Lansing, MI 48824