Sanguk Lee
Biographic Data
| ID | 4459396 |
|---|---|
| NAME | Sanguk Lee |
| GIVEN NAMES | Sanguk |
| FAMILY NAME | Lee |
| SIGNATURE | LEE S |
| AFFILIATIONS | Michigan State University |
| ORCID | 0000-0001-9204-0867 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Beyond partisan leaning: A comparative analysis of political bias in large language models
Predicting the Performance of Facebook Advertisements About Climate Change Using Self-report Data
Social media has become an important medium for climate change communication, where sponsored content can be delivered to specific audiences. However, studying message effects on social media platforms has limitations and therefore scholars often rely on surveys and controlled experiments, which can lack external validity. Here, we use survey methods to predict the real-world performance of advertisements on Facebook. We found that a 10 percentag…
Testing the Durability of Persuasion From Moral Appeals About Renewable Energy
Research shows that opinions rooted in moral justifications may be more stable over time. This suggests that communicators could create more durable persuasion by adding explicit moral claims (i.e., stating that the issue is a matter of right vs. wrong) to persuasive messages. Here, using animated videos about the transition from fossil fuels to renewable energy, we conducted a three-stage longitudinal experiment ( N = 4,488) to test whether mess…
Embracing Dialectic Intersubjectivity: Coordination of Differential Perspectives in Content Analysis With LLM Persona Simulation
This study attempts to advance automated content analysis from consensus-oriented to coordination-oriented practices, thereby embracing diverse coding outputs and exploring the dynamics among differential perspectives. As an exploratory investigation, we evaluate six GPT-4o configurations to analyze sentiment in Fox News and MSNBC transcripts on Biden and Trump during the 2020 U.S. presidential campaign. By assessing each model’s alignment with p…
Gender, Development, and Recognition of Anthropogenic Climate Change
Communicating the Links between Climate Change and Heat Waves with the Climate Shift Index
Extreme weather, including heat waves, poses a significant threat to ecosystems and human health. As global temperatures continue to rise, the frequency and severity of heat waves will increase. Because of this, communicating heat-related risks to the public is increasingly important. One commonly used communication tool is the Climate Shift Index (CSI), which establishes how much more likely an extreme weather event, such as a heat wave, has bee…
Understanding sentiment toward racial unrest through temporal and geographic lenses: A multilevel-analysis across metropolitan areas in the United States
Racial unrest has long been a salient social issue in the United States. Time and space provide essential contexts for the emergence and evolution of racial unrest. However, the relationships between these contextual factors and public responses to racial unrest remain insufficiently explored. This study seeks to fill that gap, blending geocoded, time-stamped racial unrest tweet data with census information. It aims to explore how temporal elemen…
Understanding Audience Behavior with Digital Traces: Past, Present, and Future
In recent decades, significant transformations in audience characteristics and the media environment have necessitated a reassessment of audience analysis. Communication scholars have increasingly recognized the value of utilizing digital traces as valuable resources to understand audience behaviors. This research presents a comprehensive review of 243 audience analyses that incorporate digital traces, covering the period from 2001 to 2022, as pu…
The Role of Collective Group Orientation and Social Norms on Physical Distancing Behaviors for Disease Prevention
To reduce the impact of communicable diseases like COVID-19, collective action is required and likely to be susceptible to normative influence as well as whether people are more or less collectively oriented. We extend the theory of normative social behavior (TNSB) to account for group orientation and predict the relationships between social norms and physical distancing behaviors. Using a rolling cross-sectional design during 17 weeks of the pan…
Believe it or not: A network analysis investigating how individuals embrace false and true statements during Covid-19
As individuals make belief decisions on truths and falsehoods, a systematic organization of (mis)information emerges. In this study, we employ a network approach to illustrate how a sample of Americans share a cognitive network of false and true statements related to COVID-19. Moreover, we examine what factors are associated with the formation of misbeliefs. Findings from our US-based rolling cross-sectional survey data indicate that conservative…
Detecting Sentiment toward Emerging Infectious Diseases on Social Media: A Validity Evaluation of Dictionary-Based Sentiment Analysis
Despite the popularity and efficiency of dictionary-based sentiment analysis (DSA) for public health research, limited empirical evidence has been produced about the validity of DSA and potential harms to the validity of DSA. A random sample of a second-hand Ebola tweet dataset was used to evaluate the validity of DSA compared to the manual coding approach and examine the influences of textual features on the validity of DSA. The results revealed…
Enhancement of perceived body ownership in virtual reality-based teleoperation may backfire in the execution of high-risk tasks
Extrovert and Lonely Individuals’ Social TV Viewing Experiences: A Mediating and Moderating Role of Social Presence
Social TV viewing is generally understood as a simultaneous act of watching TV and engaging in communication about the TV program with other TV viewers connected online. In response to the increasing popularity of this new TV viewing practice, the current study examined how individuals’ extrovert personality and loneliness influence social TV viewing experiences through the theoretical notion of social presence. An online survey was completed by …
Extrovert and Lonely Individuals’ Social TV Viewing Experiences: A Mediating and Moderating Role of Social Presence
Social TV viewing is generally understood as a simultaneous act of watching TV and engaging in communication about the TV program with other TV viewers connected online. In response to the increasing popularity of this new TV viewing practice, the current study examined how individuals’ extrovert personality and loneliness influence social TV viewing experiences through the theoretical notion of social presence. An online survey was completed by …
Extrovert and Lonely Individuals’ Social TV Viewing Experiences: A Mediating and Moderating Role of Social Presence
Social TV viewing is generally understood as a simultaneous act of watching TV and engaging in communication about the TV program with other TV viewers connected online. In response to the increasing popularity of this new TV viewing practice, the current study examined how individuals’ extrovert personality and loneliness influence social TV viewing experiences through the theoretical notion of social presence. An online survey was completed by …
Enhancement of perceived body ownership in virtual reality-based teleoperation may backfire in the execution of high-risk tasks
Detecting Sentiment toward Emerging Infectious Diseases on Social Media: A Validity Evaluation of Dictionary-Based Sentiment Analysis
Despite the popularity and efficiency of dictionary-based sentiment analysis (DSA) for public health research, limited empirical evidence has been produced about the validity of DSA and potential harms to the validity of DSA. A random sample of a second-hand Ebola tweet dataset was used to evaluate the validity of DSA compared to the manual coding approach and examine the influences of textual features on the validity of DSA. The results revealed…
Communicating the Links between Climate Change and Heat Waves with the Climate Shift Index
Extreme weather, including heat waves, poses a significant threat to ecosystems and human health. As global temperatures continue to rise, the frequency and severity of heat waves will increase. Because of this, communicating heat-related risks to the public is increasingly important. One commonly used communication tool is the Climate Shift Index (CSI), which establishes how much more likely an extreme weather event, such as a heat wave, has bee…
Understanding sentiment toward racial unrest through temporal and geographic lenses: A multilevel-analysis across metropolitan areas in the United States
Racial unrest has long been a salient social issue in the United States. Time and space provide essential contexts for the emergence and evolution of racial unrest. However, the relationships between these contextual factors and public responses to racial unrest remain insufficiently explored. This study seeks to fill that gap, blending geocoded, time-stamped racial unrest tweet data with census information. It aims to explore how temporal elemen…
Understanding Audience Behavior with Digital Traces: Past, Present, and Future
In recent decades, significant transformations in audience characteristics and the media environment have necessitated a reassessment of audience analysis. Communication scholars have increasingly recognized the value of utilizing digital traces as valuable resources to understand audience behaviors. This research presents a comprehensive review of 243 audience analyses that incorporate digital traces, covering the period from 2001 to 2022, as pu…
The Role of Collective Group Orientation and Social Norms on Physical Distancing Behaviors for Disease Prevention
To reduce the impact of communicable diseases like COVID-19, collective action is required and likely to be susceptible to normative influence as well as whether people are more or less collectively oriented. We extend the theory of normative social behavior (TNSB) to account for group orientation and predict the relationships between social norms and physical distancing behaviors. Using a rolling cross-sectional design during 17 weeks of the pan…
Believe it or not: A network analysis investigating how individuals embrace false and true statements during Covid-19
As individuals make belief decisions on truths and falsehoods, a systematic organization of (mis)information emerges. In this study, we employ a network approach to illustrate how a sample of Americans share a cognitive network of false and true statements related to COVID-19. Moreover, we examine what factors are associated with the formation of misbeliefs. Findings from our US-based rolling cross-sectional survey data indicate that conservative…
Predicting the Performance of Facebook Advertisements About Climate Change Using Self-report Data
Social media has become an important medium for climate change communication, where sponsored content can be delivered to specific audiences. However, studying message effects on social media platforms has limitations and therefore scholars often rely on surveys and controlled experiments, which can lack external validity. Here, we use survey methods to predict the real-world performance of advertisements on Facebook. We found that a 10 percentag…
Testing the Durability of Persuasion From Moral Appeals About Renewable Energy
Research shows that opinions rooted in moral justifications may be more stable over time. This suggests that communicators could create more durable persuasion by adding explicit moral claims (i.e., stating that the issue is a matter of right vs. wrong) to persuasive messages. Here, using animated videos about the transition from fossil fuels to renewable energy, we conducted a three-stage longitudinal experiment ( N = 4,488) to test whether mess…
Embracing Dialectic Intersubjectivity: Coordination of Differential Perspectives in Content Analysis With LLM Persona Simulation
This study attempts to advance automated content analysis from consensus-oriented to coordination-oriented practices, thereby embracing diverse coding outputs and exploring the dynamics among differential perspectives. As an exploratory investigation, we evaluate six GPT-4o configurations to analyze sentiment in Fox News and MSNBC transcripts on Biden and Trump during the 2020 U.S. presidential campaign. By assessing each model’s alignment with p…
Gender, Development, and Recognition of Anthropogenic Climate Change
Beyond partisan leaning: A comparative analysis of political bias in large language models
Psychology (8 works) · Computer Science (7 works) · Social Psychology (7 works) · Social Psychology (4 works) · Mathematics (3 works) · Misinformation and Its Impacts (3 works) · Political science (3 works) · Social and Intergroup Psychology (3 works) · Social media (3 works) · World Wide Web (3 works)