Update: I am presenting part of my dissertation at the State of Emergency Conference: Freedom & Democracy at the Crossroads (UW–Madison, October 16–17, 2026).

Peer-reviewed Articles

Published

  1. When disaster experience shapes framing effects: Hurricanes, partisanship, and environmental policy efficacy
    Yoo Ji Suh, Michael W. Wagner, and Dhavan V. Shah
    Communication Quarterly, Advance online publication · 2026
  2. Can algorithms efficiently identify interpretable and persuasive message features? An agnostic causal machine learning approach
    Sijia Yang, Luhang Sun, Ran Tao, Yoo Ji Suh, Zening Duan, Yibing Sun, Yidi Wang, and Jiaying Liu
    Health Communication, Advance online publication · 2026
  3. How moral reframing enhances political persuasion: The role of processing fluency and self-affirmation
    Yoo Ji Suh and Hyun Suk Kim
    Communication Research, 52(1), 61–88 · 2025
  4. How partisan media influences aversion to political compromise
    Yoo Ji Suh, Dhavan V. Shah, and Michael W. Wagner
    Media and Communication, 13, Article 10009 · 2025
  5. Constructing vec-tionaries to extract latent message features from texts: A case study of moral content
    Zening Duan, Anqi Shao, Yicheng Hu, Heysung Lee, Xining Liao, Yoo Ji Suh, Jisoo Kim, Kai-Cheng Yang, Kaiping Chen, and Sijia Yang
    Political Analysis, 33(4), 425–445 · 2025
  6. Smiling women pitching down: Auditing representational and presentational gender biases in image-generative AI
    Luhang Sun, Mian Wei, Yibing Sun, Yoo Ji Suh, Liwei Shen, and Sijia Yang
    Journal of Computer-Mediated Communication, 29(1), Article zmad045 · 2024
  7. Fact-checking and audience engagement: A study of content analysis and audience behavioral data of fact-checking coverage from news media
    Hyun Suk Kim, Yoo Ji Suh, Eun-mee Kim, Eunryung Chong, Hwajung Hong, Boyoung Song, Yena Ko, and Ji Soo Choi
    Digital Journalism, 10(5), 781–800 · 2022
  8. Something's fishy about it: How opinion congeniality and explainability affect motivated attribution to AI vs. human comment moderators
    Eun-Ju Lee, Hyun Suk Kim, Yoo Ji Suh, and Jin Won Park
    Cyberpsychology, Behavior, and Social Networking, 25(8), 496–503 · 2022
  9. Development and application of the Korean Moral Foundations Dictionary: Analyzing the use of moral language in editorials of five South Korean newspapers
    Yoo Ji Suh, Minjung Hong, Young Min Baek, and Hyun Suk Kim
    Journal of Communication Research, 59(2), 49–102 · 2022 Published in Korean
  10. Why do people believe misinformation and how can we combat it? A theoretical review of the acceptance and correction of misinformation
    Hyunjung Hwang, Jang Won Kim, Hyo Eun Lee, Yoo Ji Suh, Yena Ko, Soeun Yang, and Hyun Suk Kim
    Journal of Communication Research, 57(4), 5–54 · 2020 Published in Korean

Under Review

  1. Whose fault is the weather? Responsibility attributions in news coverage of the 2025 LA fires
    Yoo Ji Suh, Yiming Wang, Stuart Soroka, Michael W. Wagner, and Dhavan V. Shah
    Invited contribution to a special issue of Journalism Practice
  2. Ideological sanitization: Mapping discursive circulation between the Manosphere and Femosphere
    Laila Abbas, Catalina Farías, Luhang Sun, Yoo Ji Suh, Chenjie Zheng, Yanshu Sybil Wang, Mengyu Li, Mariel Barnes, Christine Garlough, and Dhavan V. Shah

Ongoing Research

Working Papers

  1. Framing Black Lives Matter: The persistence of language cues over identity, context, and media use
    Yoo Ji Suh, Jianing Li, Josephine Lukito, Fan (Ellie) Yang, Jiyoun Suk, Michael W. Wagner, and Dhavan V. Shah
  2. Not all emotions are alike: Divergent mediation of emotions on online engagement
    Yoo Ji Suh, Macau K. F. Mak, Sijia Yang, Michael W. Wagner, Sadie Dempsey, and Dhavan V. Shah
  3. How question headlines affect audience selection and evaluation of fact-checking news articles: A double-edged sword
    Yoo Ji Suh and Hyun Suk Kim
  4. Moralization effects of pictorial tobacco control messages: Moral convictions, social regulations and emotional pathways
    Sijia Yang and Yoo Ji Suh
  5. Designing digital twins for AI opinion simulation: How prompt framing & depth drive predictive fidelity
    Luhang Sun, Zihan Li, Varsha Pendyala, Yoo Ji Suh, Yun-Shiuan Chuang, Sean Pauley, Sijia Yang, Timothy Rogers, and Dhavan V. Shah

Works in Progress

  1. Estimating media effects with observational data: Linking news and social media content with election panel survey data
  2. Building media microcosms for AI opinion simulation
  3. Recognition politics in the Manosphere: How celebrity-centered events shape ingroup solidarity, moral outrage, and far-right mobilization
  4. From hashtag to backlash: Unpacking morality across platforms during the #MeToo movement in South Korea

Research Experience

  • Project Assistant
    Department of Psychology, UW–Madison · 2025–2026
    Research Forward grant, AI Terrarium Project (Timothy Rogers, Dhavan Shah, and Sijia Yang)
  • Project Assistant
    School of Journalism and Mass Communication, UW–Madison · 2022–2025
    Knight Foundation grant (Dhavan V. Shah, Michael W. Wagner, and Sijia Yang)
  • Project Assistant
    Elections Research Center, UW–Madison · 2022 & 2023
    Mai Family Foundation Summer Research Fellowship (Dhavan V. Shah)
  • Research Assistant
    Institute of Communication Research, Seoul National University (Eun-Ju Lee) · 2021
  • Research Assistant
    Department of Communication, Seoul National University · 2019–2021
    South Korean government’s “Key Research Institutes in Universities” grant (Hyun Suk Kim)