Sentiment analysis and topic extraction of the twitter network of #prayforparis. - Miyoung Chong (ASIST, 2016)

Topical and semantic aspects of #marchforourlives. - Miyoung Chong; Brandon Moore (ASIST, 2018)

Analyzing Political Information Network of the U.S. Partisan Public on Twitter. - Miyoung Chong (iConference, 2018)

Dynamic capabilities of a smart city: An innovative approach to discovering urban problems and solutions. - Miyoung Chong; Abdulrahman Habib; Nicholas E. Evangelopoulos; Han Woo Park (Gov. Inf. Q., 2018)

Connective power of the twitter networks: Discovering the reverse agenda-setting effects of hashtag activism through topic modeling. - Miyoung Chong (ASIST, 2019)

Network typology, information sources, and messages of the infodemic twitter network under COVID -19. - Miyoung Chong (ASIST, 2020)

Racist Framing through Stigmatized Naming: A Topical and Geo-locational Analysis of #Chinavirus and #Chinesevirus on Twitter. - Miyoung Chong; Haihua Chen 002 (ASIST, 2021)

Racial Attacks during the COVID -19 Pandemic: Politicizing an Epidemic Crisis on Longstanding Racism and Misinformation, Disinformation, and Misconception. - Miyoung Chong; Thomas J. Froehlich; Kai Shu (ASIST, 2021)

COVID-19 in the Twitterverse, from epidemic to pandemic: information-sharing behavior and Twitter as an information carrier. - Miyoung Chong; Han Woo Park (Scientometrics, 2021)

Delving into Data Science Methods in Response to the COVID -19 Infodemic. - Miyoung Chong; Chirag Shah 001; Kai Shu; Jiangen He; Loni Hagen (ASIST, 2022)

Calling for justice with #JusticeforBreonnaTaylor: a case study of hashtag activism in the evolution of the black lives matter movement. - Miyoung Chong (Soc. Netw. Anal. Min., 2023)

A Framework for Assessing Country Reputation: Case Study of China during the COVID-19 Pandemic. - Xiaoqun Zhang; Miyoung Chong; Loni Hagen; Haihua Chen 002 (DG.O, 2024)

Twitter and the Affordance: A Case Study of Participatory Roles in the #Marchforourlives Network. - Miyoung Chong (Digit., 2024)

Instilling Doubts About Truth: Measuring the Impact of Tucker Carlson's Interview with Vladimir Putin Using Machine Learning and Natural Language Processing. - Loni Hagen; Ly Dinh; Golfo Alexopoulos; Lingyao Li; Diego Ford; Miyoung Chong (CoRR, 2025)