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Peerj. Computer Science|September 12, 2022
Investigating toxicity changes of cross-community redditors from 2 billion posts and commentsHind Almerekhi, Haewoon Kwak, Bernard J Jansen
JMIR Formative Research|September 24, 2021
Precision Public Health Campaign: Delivering Persuasive Messages to Relevant Segments Through Targeted Advertisements on Social MediaJisun An, Haewoon Kwak, Hanya M Qureshi, et al.
Peerj. Computer Science|August 16, 2021
FrameAxis: characterizing microframe bias and intensity with word embeddingHaewoon Kwak, Jisun An, Elise Jing, et al.
JMIR Formative Research|October 5, 2021
Correction: Precision Public Health Campaign: Delivering Persuasive Messages to Relevant Segments Through Targeted Advertisements on Social MediaJisun An, Haewoon Kwak, Hanya M Qureshi, et al.
Scientific Reports|March 1, 2024
The impact of toxic trolling comments on anti-vaccine YouTube videosKunihiro Miyazaki, Takayuki Uchiba, Haewoon Kwak, et al.
Nature Human Behaviour|June 4, 2025
A semantic embedding space based on large language models for modelling human beliefsByunghwee Lee, Rachith Aiyappa, Yong-Yeol Ahn, et al.
JMIR Formative Research|March 5, 2026
Cross-Cultural Differences in Public Discourse on COVID-19 Vaccination in the United States and South Korea: Cross-Sectional Analysis Using Natural Language ProcessingSangpil Youm, Sou Hyun Jang, Haewoon Kwak, et al.
Frontiers in Sociology|June 6, 2022
Storm the Capitol: Linking Offline Political Speech and Online Twitter Extra-Representational Participation on QAnon and the January 6 InsurrectionClaire Seungeun Lee, Juan Merizalde, John D Colautti, et al.
Scientific Reports|September 7, 2016
High correlation of Middle East respiratory syndrome spread with Google search and Twitter trends in KoreaSoo-Yong Shin, Dong-Woo Seo, Jisun An, et al.
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