Faculty & Staff
Miyoung Chong
Assistant Professor
Contact
Office: PRW 235
Phone: (727) 873-4047
Email
BIO
Miyoung Chong is an assistant professor in the Department of Journalism and Digital Communication (JDC) at the 91tvӰԺ. Before joining the JDC, she was a postdoctoral research associate in Deliberative Media Lab at the University of Virginia. She earned her Ph.D. in Information Science with data science in the College of Information at the University of North Texas. Her research centers on minority, information, and power drawing from critical informatics with a particular focus on crisis communication and social change. Her larger body of research is characterized by computational social science and data science to investigate digital media and online community engagement. She published her studies as a leading author in Government Information Quarterly, Scientometrics, Open Information Science, and Quality & Quantity and published in Journal of Medical Internet Research and Journal of Business Anthropology as a collaborator. Her presentation venues include Association for Information Science & Technology Annual Meeting, iConference, the Association for Education in Journalism and Mass Communication (AEJMC) Annual Conference, and the Annual International Communication Association Conference. She wrote a book chapter titled with “Social Media Analytics” and developed a course “Democratic Politics in the New Media Environment” and “Data Journalism and Social Media” at the University of Virginia. Some of her current research projects include “Detecting hate in social media: A machine learning approach”, “Assessing transnational crisis communication of public health agencies”, and “Tweeting and talking like Trump: GOP governors' attempts to reframe Critical Race Theory in public discourse.”
Research Focus
I am a social data scientist who studies the intersections of information, minority, and power in digital, social, and news media settings with a critical informatics approach. My work builds on the idea that active public conversations are crucial for democratic and sustainable society. Yet, in the big data and digital environment, mis-, dis-, and algorithm-controlled information illustrated detrimental impacts on public discourses. Thus, examining public conversations became even more vital to prevent unfavorable social events and to set the policy goals for social, digital, environmental and epidemic justice.