Soojong Kim

Doctoral Student

Soojong Kim is a doctoral student at the Annenberg School for Communication, University of Pennsylvania. 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. As a former computer scientist, his research is based on online experiments, computational modeling and simulations, and large-scale data analysis. He is an active member of the Center for Health Behavior and Communication Research (CHBCR), and Digital Media, Networks, and Political Communication Research Group (DiMeNet). His past research in Network Dynamics Group focused on social epidemiology and complex system dynamics.

He 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 his Masters degree in Sociology at Seoul National University.

Selected Publications
  • Information Propagation and Social Media

Kim, S., (2018), Directionality of Information Flow and Echoes without ChambersUnder Review.

Kim, S., (2018), Polarizing Machines: Effects of Algorithmic Social Categorization on the Perception and the Propagation of Information in Social MediaUnder Review.

Kim, S., (2018), Chambers without Echoes: Computational and Experimental Evidence on Information Propagation between Segregated Social GroupsWorking Manuscript.

▹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., (2018), Bridging the Gap: Social Status and the Diffusion of Health Information, Working Manuscript.

    Kim, S., (2018), 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, Working Manuscript.

    Conference Presentations

    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 student 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.

    Kim's Network

    • John B. Jemmott III, Ph.D.
    • Sandra González-Bailón, Ph.D.
    • Yphtach Lelkes, Ph.D.
    • Digital Media and Social Networks
    • Media and Communication Effects
    • Center for Health Behavior and Communication Research
    • Digital Media, Networks, and Political Communication Group