Academic Profile : Faculty

Poong_Oh_2025.jpg picture
Asst Prof Poong Oh
Assistant Professor, Wee Kim Wee School of Communication and Information
External Links
 
Controlled Keywords
Poong Oh is an Assistant Professor at the Wee Kim Wee School of Communication and Information, Nanyang Technological University. He received his Ph.D. in Communication from the Annenberg School for Communication and Journalism at the University of Southern California. Before joining NTU in 2017, he was a postdoctoral research fellow at the Annenberg School for Communication, University of Pennsylvania.

His research examines the collective dynamics of information processing, decision-making, opinion formation, and conflict resolution within groups, organizations, and communities, with a particular focus on the central role of communication in these processes. A key contribution of his work is the integration of traditional communication and social science theories with network theory and evolutionary game theory, offering a novel framework for understanding communication as a complex, dynamic, and self-organizing system.

As a computational social scientist, he refines and applies innovative methodologies—including agent-based modeling, computational network analysis, numerical experiments, and machine learning—to communication research. His work demonstrates the theoretical utility of communication-centered integrative frameworks in explaining and predicting social dynamics with greater precision and accuracy.

His research has been published in leading communication and social science journals, such as Communication Theory, Communication Methods and Measures, and the International Journal of Communication. He has also contributed to prestigious interdisciplinary journals, such as Scientific Reports, and prominent journals in other disciplines, including Journal of Physics: Complexity, Transport Policy, and Ecology and Evolution.

His current projects focus on the strategic dimensions of communication in complex social systems. One line of research investigates deception strategies in online environments, aiming to develop preemptive measures against the spread of misinformation and falsehoods. Another explores the self-organizing mechanisms of group structures to optimize collective decision-making processes, shedding light on how communication networks evolve to enhance adaptability and efficiency. Through these projects, he seeks to deepen theoretical insights while offering practical implications for digital governance, policy interventions, and the design of resilient information ecosystems.
Collective decision-making, opinion dynamics, evolutionary game theory, network theory, computational social science, deception strategy
 
  • Preemptive Defense Mechanisms against the Strategic Use of False Information
  • Strategic Ambiguity in Hashtag Use for Information Dissemination on Social Media
Awards
Nanyang Education Award (2023),

The Best Published Paper, The Academy of Management (2019): "The Value of Questions in Organizing: Reconceptualizing Contributions to Online Public Information Goods."
 
Courses Taught
CI7104 - Network Analysis: Theory and Methods
CS4050 - Bayesian Data Analysis and Its Applications
CS4264 - Introduction to Network Analysis
CS5209 - Collective Problem Solving