Sungwon Jung
Biographic Data
| ID | 6961186 |
|---|---|
| NAME | Sungwon Jung |
| GIVEN NAMES | Sungwon |
| FAMILY NAME | Jung |
| SIGNATURE | JUNG S |
| AFFILIATIONS | The University of Texas at Austin |
| ORCID | 0009-0002-7401-1194 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Affective Publics in the YouTube Live Chat
Televised debates between political candidates have become dynamic, interactive events on live-streaming platforms where audiences form affective publics through real-time interactions and emotional expressions in live chat. In this study, we focused on real-time emotional contagion on a right-wing YouTube channel during the live-streamed 2024 U.S. presidential debate between Donald Trump and Kamala Harris. Examining how multimodal emotional expr…
Women journalists as targets of Bolsonaro
Introduction During the 2022 Brazilian presidential electoral campaign, Bolsonaro adopted the strategy to address sexist and misogynistic attacks on female journalists. This study examines the overall discourse that emerged from those attacks among Twitter users. Methods We analyze 579,708 tweets referencing three prominent female journalists—Vera Magalhães, Gabriela Prioli, and Amanda Klein—who were publicly attacked by Bolsonaro. We conducted a…
HIV Conspiracy Beliefs Among Black LGBQ+ People
As Human Immunodeficiency Virus (HIV) disproportionately affects racial and gender minorities in the U.S., this study investigates the role of intersecting identities – specifically being Black and LGBQ+ – along with the sociocultural and communicative factors intertwined with these identities in shaping beliefs in HIV conspiracy theories. An online survey (N = 1,505) shows that Black LGBQ+ people display higher levels of HIV conspiracy beliefs t…
Alcohol Consumption Norms and the Favored Alcohol Consumption Policies of Citizens of Seoul
The purpose of this study was to define the alcohol consumption norms and attitudes toward alcohol regulation policies among citizens of Seoul and the relationships between such norms and the favored regulatory policies. The study population consisted of 1001 adults aged 19-80 years living in Seoul. We collected demographic data and data on health behaviors, attitudes towards drinking, and preferred alcohol regulation policies. The correlations b…
The Relationship Between Government Response Speed and Sentiments of Public Complaints
This article utilizing unique data on 37,655 public complaints in South Korea from April 2021 to March 2022 aims to unveil the association between sentiments in public complaints or petitions and government response speed. We estimate sentiments in each complaint with five morphological analyzers and employ negative binomial regression models. The empirical results demonstrate that public complaints with the sentiment of Fear tend to receive fast…
Association between Prehospital Visits and Poor Health Outcomes in Korean Acute Stroke Patients
This study aimed to determine whether prehospital visits to other medical institutions before admission are associated with prolonged hospital stay, readmission, or mortality rates in acute stroke patients. Using the claims data from the Korean Health Insurance Service, a cross-sectional study was conducted on 58,418 newly diagnosed stroke patients aged ≥ 20 years from 1 January 2019 to 31 December 2019. Extended hospital stay (≥7 days; median va…
Artificial Neural Network Model Development to Predict Theft Types in Consideration of Environmental Factors
Crime prediction research using AI has been actively conducted to predict potential crimes—generally, crime locations or time series flows. It is possible to predict these potential crimes in detail if crime characteristics, such as detailed techniques, targets, and environmental factors affecting the crime’s occurrence, are considered simultaneously. Therefore, this study aims to categorize theft by performing k-modes clustering using crime-rela…
Street crime prediction model based on the physical characteristics of a streetscape
Previous crime prediction research focusing on regional characteristics is lacking in terms of the examination of physical characteristics of individual crime scenes. This study, therefore, presents a street crime prediction model by analysing streetscape features within an actual field of vision for a low-rise housing area in South Korea, which serves as a gauge for potential offenders to carry out crime. First, we performed logistic regression …
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Street crime prediction model based on the physical characteristics of a streetscape
Previous crime prediction research focusing on regional characteristics is lacking in terms of the examination of physical characteristics of individual crime scenes. This study, therefore, presents a street crime prediction model by analysing streetscape features within an actual field of vision for a low-rise housing area in South Korea, which serves as a gauge for potential offenders to carry out crime. First, we performed logistic regression …
Artificial Neural Network Model Development to Predict Theft Types in Consideration of Environmental Factors
Crime prediction research using AI has been actively conducted to predict potential crimes—generally, crime locations or time series flows. It is possible to predict these potential crimes in detail if crime characteristics, such as detailed techniques, targets, and environmental factors affecting the crime’s occurrence, are considered simultaneously. Therefore, this study aims to categorize theft by performing k-modes clustering using crime-rela…
The Relationship Between Government Response Speed and Sentiments of Public Complaints
This article utilizing unique data on 37,655 public complaints in South Korea from April 2021 to March 2022 aims to unveil the association between sentiments in public complaints or petitions and government response speed. We estimate sentiments in each complaint with five morphological analyzers and employ negative binomial regression models. The empirical results demonstrate that public complaints with the sentiment of Fear tend to receive fast…
Association between Prehospital Visits and Poor Health Outcomes in Korean Acute Stroke Patients
This study aimed to determine whether prehospital visits to other medical institutions before admission are associated with prolonged hospital stay, readmission, or mortality rates in acute stroke patients. Using the claims data from the Korean Health Insurance Service, a cross-sectional study was conducted on 58,418 newly diagnosed stroke patients aged ≥ 20 years from 1 January 2019 to 31 December 2019. Extended hospital stay (≥7 days; median va…
Alcohol Consumption Norms and the Favored Alcohol Consumption Policies of Citizens of Seoul
The purpose of this study was to define the alcohol consumption norms and attitudes toward alcohol regulation policies among citizens of Seoul and the relationships between such norms and the favored regulatory policies. The study population consisted of 1001 adults aged 19-80 years living in Seoul. We collected demographic data and data on health behaviors, attitudes towards drinking, and preferred alcohol regulation policies. The correlations b…
HIV Conspiracy Beliefs Among Black LGBQ+ People
As Human Immunodeficiency Virus (HIV) disproportionately affects racial and gender minorities in the U.S., this study investigates the role of intersecting identities – specifically being Black and LGBQ+ – along with the sociocultural and communicative factors intertwined with these identities in shaping beliefs in HIV conspiracy theories. An online survey (N = 1,505) shows that Black LGBQ+ people display higher levels of HIV conspiracy beliefs t…
Affective Publics in the YouTube Live Chat
Televised debates between political candidates have become dynamic, interactive events on live-streaming platforms where audiences form affective publics through real-time interactions and emotional expressions in live chat. In this study, we focused on real-time emotional contagion on a right-wing YouTube channel during the live-streamed 2024 U.S. presidential debate between Donald Trump and Kamala Harris. Examining how multimodal emotional expr…
Women journalists as targets of Bolsonaro
Introduction During the 2022 Brazilian presidential electoral campaign, Bolsonaro adopted the strategy to address sexist and misogynistic attacks on female journalists. This study examines the overall discourse that emerged from those attacks among Twitter users. Methods We analyze 579,708 tweets referencing three prominent female journalists—Vera Magalhães, Gabriela Prioli, and Amanda Klein—who were publicly attacked by Bolsonaro. We conducted a…
Computer Science (4 works) · Medicine (3 works) · Psychology (3 works) · Social Psychology (3 works) · Sociology (3 works) · Anger (2 works) · Crime Patterns and Interventions (2 works) · Hate Speech and Cyberbullying Detection (2 works) · Logistic regression (2 works) · Machine learning (2 works)