Taegyoon Kim
Biographic Data
| ID | 4376863 |
|---|---|
| NAME | Taegyoon Kim |
| GIVEN NAMES | Taegyoon |
| FAMILY NAME | Kim |
| SIGNATURE | KIM T |
| AFFILIATIONS | Korea Advanced Institute of Science and Technology |
| ORCID | 0000-0003-1230-774X |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 24 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
The national network of US state legislators on Twitter
Networks among legislators shape politics and policymaking within legislative institutions. In past work on legislative networks, the ties between legislators have been defined on those who serve in the same legislature or chamber. Online information networks, which have been found to play important roles in legislative communication at the national level, are not bounded by individual legislative bodies. We collect original data for over four th…
The Effects of Partisan Elites’ Violent Rhetoric on Support for Political Violence
Violent partisan hostility is a growing concern for American democracy, yet the role of partisan elites in driving support for political violence remains underexplored. This is especially problematic given their significant influence over public opinion. How does partisan elites’ rhetoric threatening violence affect support for violence against opposing partisans? Focusing on social media, where violent messages by partisan elites from both sides…
Legacies of party origins on the electoral performance of former authoritarian ruling parties
The Application of Large Language Models in Social Sciences: Opportunities and Challenges for Measurement with Texts
대규모 데이터와 기계 학습은 경험적 사회과학 연구를 위한 텍스트 분석에 새로운 가능성을 제시해오고 있다. 본 논문은 대형언어모델(large language model)이 사회과학적 텍스트 분석에 활용될 수 있는 가능성과 보완점을 논의함으로써, 생성형 인공지능(generative artificial intelligence)이 사회과학 연구에 미치는 영향에 대한 넓은 담론에 기여하고자 한다. 특히 본 논문에서는 텍스트 분류(classification)와 스케일링(scaling)을 위해 대형언어모델이 얼마나 기존의 접근들을 보완 또는 대체할 수 있는지에 대한 최신의 다학제적인 논의를 검토하고, 텍스트 측정의 도구로서 대형언어모델의 가능성을 체계적으로 평가하기 위한 몇 가지 제언을 제공한다
Violent political rhetoric on Twitter
Violent hostility between ordinary partisans is undermining American democracy. Social media is blamed for rhetoric threatening violence against political opponents and implicated in offline political violence. Focusing on Twitter, I propose a method to identify such rhetoric and investigate substantive patterns associated with it. Using a data set surrounding the 2020 Presidential Election, I demonstrate that violent tweets closely track content…
Attention to the Covid‐19 Pandemic on Twitter: Partisan Differences Among U.S. State Legislators
Subnational governments in the United States have taken the lead on many aspects of the response to the COVID‐19 pandemic. Variation in government activity across states offers the opportunity to analyze responses in comparable settings. We study a common and informative activity among state officials—state legislators’ attention to the pandemic on Twitter. We find that legislators’ attention to the pandemic strongly correlates with the number of…
Attention to the Covid‐19 Pandemic on Twitter: Partisan Differences Among U.S. State Legislators
Subnational governments in the United States have taken the lead on many aspects of the response to the COVID‐19 pandemic. Variation in government activity across states offers the opportunity to analyze responses in comparable settings. We study a common and informative activity among state officials—state legislators’ attention to the pandemic on Twitter. We find that legislators’ attention to the pandemic strongly correlates with the number of…
Violent political rhetoric on Twitter
Violent hostility between ordinary partisans is undermining American democracy. Social media is blamed for rhetoric threatening violence against political opponents and implicated in offline political violence. Focusing on Twitter, I propose a method to identify such rhetoric and investigate substantive patterns associated with it. Using a data set surrounding the 2020 Presidential Election, I demonstrate that violent tweets closely track content…
Attention to the Covid‐19 Pandemic on Twitter: Partisan Differences Among U.S. State Legislators
Subnational governments in the United States have taken the lead on many aspects of the response to the COVID‐19 pandemic. Variation in government activity across states offers the opportunity to analyze responses in comparable settings. We study a common and informative activity among state officials—state legislators’ attention to the pandemic on Twitter. We find that legislators’ attention to the pandemic strongly correlates with the number of…
Violent political rhetoric on Twitter
Violent hostility between ordinary partisans is undermining American democracy. Social media is blamed for rhetoric threatening violence against political opponents and implicated in offline political violence. Focusing on Twitter, I propose a method to identify such rhetoric and investigate substantive patterns associated with it. Using a data set surrounding the 2020 Presidential Election, I demonstrate that violent tweets closely track content…
The Application of Large Language Models in Social Sciences: Opportunities and Challenges for Measurement with Texts
대규모 데이터와 기계 학습은 경험적 사회과학 연구를 위한 텍스트 분석에 새로운 가능성을 제시해오고 있다. 본 논문은 대형언어모델(large language model)이 사회과학적 텍스트 분석에 활용될 수 있는 가능성과 보완점을 논의함으로써, 생성형 인공지능(generative artificial intelligence)이 사회과학 연구에 미치는 영향에 대한 넓은 담론에 기여하고자 한다. 특히 본 논문에서는 텍스트 분류(classification)와 스케일링(scaling)을 위해 대형언어모델이 얼마나 기존의 접근들을 보완 또는 대체할 수 있는지에 대한 최신의 다학제적인 논의를 검토하고, 텍스트 측정의 도구로서 대형언어모델의 가능성을 체계적으로 평가하기 위한 몇 가지 제언을 제공한다
The national network of US state legislators on Twitter
Networks among legislators shape politics and policymaking within legislative institutions. In past work on legislative networks, the ties between legislators have been defined on those who serve in the same legislature or chamber. Online information networks, which have been found to play important roles in legislative communication at the national level, are not bounded by individual legislative bodies. We collect original data for over four th…
The Effects of Partisan Elites’ Violent Rhetoric on Support for Political Violence
Violent partisan hostility is a growing concern for American democracy, yet the role of partisan elites in driving support for political violence remains underexplored. This is especially problematic given their significant influence over public opinion. How does partisan elites’ rhetoric threatening violence affect support for violence against opposing partisans? Focusing on social media, where violent messages by partisan elites from both sides…
Legacies of party origins on the electoral performance of former authoritarian ruling parties
Political science (5 works) · Law (4 works) · Law (4 works) · Political economy (4 works) · Politics (4 works) · Social Media and Politics (4 works) · Sociology (4 works) · Democracy (3 works) · Computer Science (2 works) · Criminology (2 works)