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    • Chun Shao
    Dr. Chun ShaoMarquette University

    Johnston Hall

    MilwaukeeWI53201United States of America

    Assistant Professor

    Education

    Ph.D., Arizona State University

    Courses Taught

    COMM 1700 Communication Statistics and Analysis
    COMM 6954 Proseminar in Media: Mediated Communication & Society
    PURE 3000 Public Relations Research and Measurement

    Research Interests

    Social Media
    Emerging Technologies
    User Behaviors
    Computational Communication

    Professional Affiliations

    Association for Education in Journalism and Mass Communication
    International Communication Association
    Broadcast Education Association

    Publications

    Expand all   |   Collapse all  

    2024

    2023

    2022

    2021

    2019

    Proceedings

     

     

    Honors and Awards

    • Second Place Faculty Paper Award, Communication Technology Division, Association for Education in Journalism and Mass Communication (AEJMC), 2024.
    • Top Paper Award, Research Division, Broadcast Education Association, 2023.
    • Top Paper Award, Interactive Media & Emerging Technologies Division, Broadcast Education Association, 2023.
    • Competitively Selected Participant, Summer Institute in Computational Social Science (SICSS), Lisbon, Portugal, June 2021.
    • Fellowship, PhDigital Bootcamp: Preparing Future Faculty to Lead Innovative Curriculum, sponsored by the John S. and James L. Knight Foundation, Texas State University, 2018.
    • Top Paper Award, Interactive Media & Emerging Technologies Division, Broadcast Education Association, 2018.

    Presentations

    Kwon, K.H., Shao, C., & Amanda, K. (2024). Trust spillover: An exploration of political influencer campaigns in building social media users’ trust in government. Presented at Association for Education in Journalism and Mass Communication (AEJMC) annual conference, Philadelphia, PA, Aug 8-11.

    Shao, C., & Kwon, K.H. (2024). Bots & Humans: The role of super-spreader in the conspiratorial infodemic. Presented at the 2024 International Conference on Social Media & Society, London, UK, June 16-18.

    Nah, S., Luo, J., & Shao, C. (2024). In AI news we trust: Causes, components, and consequences of news credibility. Presentation at the International Communication Association (ICA) conference, Gold Coast, Australia, June 20-24.

    Kwon, K.H., Vera-Phillips, K., Moon, E.M., Shao, C., & Xu, W. (2023) But not for me: Asian immigrants’ (mis)trust in news. Presentation at the Association for Education in Journalism and Mass Communication (AEJMC) annual conference, Washington, DC, Aug. 7-10.

    Shao., C., Nah, S., Makady, H., & McNealy, J. (2023). When AI meets ethics: Rethinking attitude toward use of AI technologies. Presented at the 73rd Annual International Communication Association (ICA) Conference, Toronto, Canada, May 25—29.

    Shao, C. & Nah, S. (2023). What can AI do for democracy? Community storytelling network, AI technologies, and civic participation. Presented at the 73rd Annual ICA Conference, Toronto, Canada, May 25—29.

    Shao, C., Nah, S., Heffron, E., & Sparks, J. (2023). Conceptualizing trusts: The role of media and political trust in civic engagement. Presented at the 2023 Broadcast Education Association (BEA) annual conference, Las Vegas, NV, April 15–18. (Top Paper Award, Research Division)

    Li, Q., Shao, C., Walker, S., & Kwon, K.H. (2023). Making gun control agendas in networked digital environment: An intermedia comparison between activism websites, news outlets, and ephemeral media during the U.S. gun control movement. Presented at the 2023 BEA annual conference, Las Vegas, NV, April 15–18. (Top Paper Award, Interactive Media & Emerging Technologies Division)

    Shao, C. (2022). Television viewing habits revisited: The role of audience habits in the streaming age. Presented at the AEJMC annual conference, Detroit, MI, Aug. 3–6.

    Why Marquette

    A welcoming, diverse, and inclusive community here; highly-motivated students; abundant opportunities to work with distinguished colleagues and engage in interdisciplinary collaborations.


    Johnston Hall