Soojong Kim is a doctoral candidate at Annenberg School for Communication, University of Pennsylvania. His research centers around computational social science, computer-human interaction, network science, and advanced methods for empirical research. Kim's research is based on social and cognitive psychology; network science; and theories from communication, political science, and sociology. He is especially interested in understanding, predicting, and manipulating the social flows of information. His current projects aim to answer important research questions including how social media algorithms bias the behavior and perception of users, how artificial agents and committed groups in social media can manipulate the flows of information and distort user perceptions, and how segregation, polarization, and inequality emerge between the groups of different social identities, such as race, gender, and political identity.
As a former computer scientist, Kim's research is based on online experiments, computational modeling and simulations, advanced statistical methods, and large-scale data analysis. His technical skills and experience have been facilitating these studies. First, he has built customized web-based experimental platforms, and computational simulators for agent-based modeling and network analysis. He will chair the "Simulation studies of communication" session of the Computational Methods Interest Group at the 2019 ICA meeting, and his work based on a web-based experiment will receive the Best Paper Award from Information Systems division. Second, he is also experienced in text analysis and large-scale data analysis: in a paper published with Dan Hopkins (Professor in Political Science, University of Pennsylvania), he analyzed 500 thousand news articles published over 30 years and combined it with survey responses from 200 thousand people. Also, Kim's research has been based on various advanced statistical methods, such as longitudinal analysis, advanced mediation and moderation models, multilevel and hierarchical models, and factor analysis.
Kim has presented his research products at prestigious conferences. These venues include the International Conference on Computational Social Science (IC2S2); the International Conference on Network Science (NetSci); and the Annual Meetings of International Communication Association (ICA), National Communication Association (NCA), and America Sociological Association (ASA). He is an active member of the Center for Health Behavior and Communication Research (CHBCR), Digital Media, Networks, and Political Communication Research Group (DiMeNet), and Democracy and Information Group (DIG). His past research in Network Dynamics Group (NDG) focused on social epidemiology and complex system dynamics.
Kim holds B.S. and M.S. degrees in Electrical Engineering and Computer Science from Seoul National University. He worked at Samsung Electronics as a computer scientist and engineer. He also earned a Master's degree in Sociology at Seoul National University.
- Information Propagation and Social Media
▹Kim, S., (2019), Directionality of Information Flow and Echoes without Chambers, Under Review.
▹Kim, S., (2019), Chambers without Echoes: Why Homogeneous Networks Cannot Be Equated to Echo Chambers, Under Review.
▹Kim, S., (2019), Polarizing Machines: How Social Media Algorithms Induce Insular Behavior and Biased Perception, Under Review.
▹Oh, P., Kim, S. (2019), An Evolutionary Model of the Emergence of Meanings, Under Review.
▹Hopkins, D., Kim, E., Kim, S., (2017). Does Newspaper Coverage Influence or Reflect Public Perceptions of the Economy, Research & Politics
▹Suh, Y., Kim, S., (2015). Accumulation of Representable Personal Information through Mobile Applications of Smart Phones and Policy Implications of Privacy Protection, Information Society & Media (Korean)
▹Kim, S., Oh, P. (2019), Network Backfire Effect: How Network Interventions for Polarization Can Promote Polarization, Working Manuscript.
▹Kim, S., (2019), Bridging the Gap: Social Status and the Diffusion of Health Information, Working Manuscript.
▹Kim, S., (2019), Why We Share: Social Motivations for Information Exchanges, Working Manuscript.
- Mediation and Propagation of Intervention Effects
▹Stevenson, H. C., Jemmott, L. S., Jemmott, J. B., White, S. L., Talley, L. M., Chittamuru, D., Kim, S., (2018). Efficacy and Mediation of a Racial Literacy-Infused Barbershop-based Intervention to Reduce Violence Retaliation for Young African American Men: A Cluster-Randomized Controlled Trial, Under Review.
▹Cederbaum, J. A., Kim, S., Grest, C. V., Jemmott, J. B., Jemmott, L. S., (2018). Effect of a Church-based Intervention on Abstinence and Safer Sex Communication among African American parent-child dyads, Under Review.
▹Kim, S., “Directionality of Information Flow and Echoes without Chambers,” Annual International Communication Association (ICA) Conference, Washington DC, May 2019.
- Received the Top 4 Best Paper Award from the Information Systems Division, ICA.
▹Kim, S., “Chambers without Echoes: Computational and Experimental Evidence on Information Propagation in Homogeneous Networks,” Annual International Communication Association (ICA) Conference, Washington DC, May 2019.
- Received Travel Grant from the Computational Methods Interest Group, ICA.
▹Oh, P., Kim, S., “An Evolutionary Model of the Emergence of Meanings,” Annual International Communication Association (ICA) Conference, Washington DC, May 2019.
▹Kim, S., “Creating Echo Chamber: How Biased Flow of Information Can Be Engineered,” International Conference on Computational Social Science, Evanston, IL, July 2018. (Accepted.)
▹Kim, S., Herbert, N., van de Rijt, A., Centola, D., “Emergence and Stability of Status Hierarchy,” International Conference on Computational Social Science, Cologne, Germany, July 2017.
▹Kim, S., Centola, D., "A seeding strategy to promote the spread of behavior on social networks", International School and Conference on Network Science, Indianapolis, Indiana, June 2017.
▹Kim, S., Herbert, N., van de Rijt, A., Centola, D., "Emergence and Stability of Status Hierarchy", the 5th Annenberg Graduate Student Symposium, March 2017.
▹ Herbert, N., Kim, S., and Centola, D., “Is inequality inevitable? An agent-based bargaining model of network structure and nominal characteristic tags”, Advances in Mathematical Sociology session, Annual Meeting of the American Sociological Association, Seattle, Washington, August 2016.
▹ Herbert, N., Kim, S., and Centola, D., “Is inequality inevitable? An agent-based bargaining model of network structure and nominal characteristic tags”, International Conference on Computational Social Science, Evanston, Illinois, June 2016.
Soojong Kim is a doctoral candidate at the Annenberg School for Communication. His research centers around computational social science, computer-human interaction, and advanced methods for empirical research. He is especially interested in how we can understand, predict, and manipulate information flows on social media.