Mintae Cha
Biographic Data
| ID | 1150733 |
|---|---|
| NAME | Mintae Cha |
| GIVEN NAMES | Mintae |
| FAMILY NAME | Cha |
| SIGNATURE | CHA M |
| AFFILIATIONS | Korea Advanced Institute of Science and Technology |
| ORCID | 0000-0003-4085-9648 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 13 |
| WORKS AS AUTHOR | 11 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Representation vs. Democracy? Presbyterianism in the Age of the French Revolution
This article argues against the cliché (posited most famously by Alexis de Tocqueville and Carl Schmitt), that there were inherent correspondences between religious and political concepts. Such connections were historically contingent, and had to be forged by polemicists and apologists who eclectically drew upon a variety of sources. This is evident from an examination of differing Presbyterian reactions to the French Revolution. John Brown in Sc…
Health Implications on the Excessive Use of AI Chatbots
With technological advances, humans now communicate with machines as chat partners. This study reviews recent findings on the health implications of potential excessive use of AI chatbots. Based on the real human-machine conversations, we show what information people sought during the COVID-19 pandemic and identify the risks of relying on chatbots for medical advice. In particular, we found conversational chatbots such as ChatGPT can exacerbate t…
Risks and protective measures for synthetic relationships
The secret to successful evocative messages
We conducted two studies to compare how anxiety and anger influence the online spread of information. Study 1 found that tweets expressing anger reached more people and had deeper retweet chains than tweets expressing anxiety, across all measures of retweet cascades (i.e., size, depth, maximum breadth, and structural virality). Study 2 used an online survey and confirmed anger's supremacy in information sharing. Individuals who were angry indicat…
Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking
Misinformation on social media has become a critical problem, particularly during a public health pandemic. Most social platforms today rely on users’ voluntary reports to determine which news stories to fact-check first. Despite the importance, no prior work has explored the potential biases in such a reporting process. This work proposes a novel methodology to assess how users perceive truth or misinformation in online news stories. By conducti…
News comment sections and online echo chambers
This study explored the presence of digital echo chambers in the realm of partisan media’s news comment sections in South Korea. We analyzed the political slant of 152 K user comments written by 76 K unique contributors on NAVER, the country’s most popular news aggregator. We found that the political slant of the average user comments to be in alignment with the political leaning of the conservative news outlets; however, this was not true of the…
Automatically Detecting Image–Text Mismatch on Instagram with Deep Learning
Visual social media have emerged as an essential brand communication channel for advertisers and brands. The active use of hashtags has enabled advertisers to identify customers interested in their brands and better understand their consumers. However, some users post brand-incongruent content—for example, posts composed of brand-irrelevant images with brand-relevant hashtags. Such visual information mismatch can be problematic because it hinders…
Cross-Cultural Comparison of Nonverbal Cues in Emoticons on Twitter
Relying on Gudykunst's cultural variability in communication (CVC) framework and culture-specific facial expressions of emotion, we examined how people's use of emoticons varies cross-culturally. By merging emoticon usage patterns on Twitter with Hofstede's national culture scores and national indicators across 78 countries, this study found that people within individualistic cultures favor horizontal and mouth-oriented emoticons like :), while t…
Modeling Bursty Temporal Pattern of Rumors
Online social networks enable fast and wide diffusion of rumors, which could be potential threats to the society. Understanding the rumor spreading mechanism is therefore essential. This demo presents an agent-pattern based model that can explain the spiky temporal diffusion pattern of rumors. The demo platform provides an interface allowing users to check a wide set of parameters contribute to the characteristic temporal pattern of rumors
The spread of media content through blogs
Measuring User Influence in Twitter
Directed links in social media could represent anything from intimate friendships to common interests, or even a passion for breaking news or celebrity gossip. Such directed links determine the flow of information and hence indicate a user's influence on others — a concept that is crucial in sociology and viral marketing. In this paper, using a large amount of data collected from Twitter, we present an in-depth comparison of three measures of inf…
The spread of media content through blogs
News comment sections and online echo chambers
This study explored the presence of digital echo chambers in the realm of partisan media’s news comment sections in South Korea. We analyzed the political slant of 152 K user comments written by 76 K unique contributors on NAVER, the country’s most popular news aggregator. We found that the political slant of the average user comments to be in alignment with the political leaning of the conservative news outlets; however, this was not true of the…
The secret to successful evocative messages
We conducted two studies to compare how anxiety and anger influence the online spread of information. Study 1 found that tweets expressing anger reached more people and had deeper retweet chains than tweets expressing anxiety, across all measures of retweet cascades (i.e., size, depth, maximum breadth, and structural virality). Study 2 used an online survey and confirmed anger's supremacy in information sharing. Individuals who were angry indicat…
Measuring User Influence in Twitter
Directed links in social media could represent anything from intimate friendships to common interests, or even a passion for breaking news or celebrity gossip. Such directed links determine the flow of information and hence indicate a user's influence on others — a concept that is crucial in sociology and viral marketing. In this paper, using a large amount of data collected from Twitter, we present an in-depth comparison of three measures of inf…
The spread of media content through blogs
Cross-Cultural Comparison of Nonverbal Cues in Emoticons on Twitter
Relying on Gudykunst's cultural variability in communication (CVC) framework and culture-specific facial expressions of emotion, we examined how people's use of emoticons varies cross-culturally. By merging emoticon usage patterns on Twitter with Hofstede's national culture scores and national indicators across 78 countries, this study found that people within individualistic cultures favor horizontal and mouth-oriented emoticons like :), while t…
Modeling Bursty Temporal Pattern of Rumors
Online social networks enable fast and wide diffusion of rumors, which could be potential threats to the society. Understanding the rumor spreading mechanism is therefore essential. This demo presents an agent-pattern based model that can explain the spiky temporal diffusion pattern of rumors. The demo platform provides an interface allowing users to check a wide set of parameters contribute to the characteristic temporal pattern of rumors
Automatically Detecting Image–Text Mismatch on Instagram with Deep Learning
Visual social media have emerged as an essential brand communication channel for advertisers and brands. The active use of hashtags has enabled advertisers to identify customers interested in their brands and better understand their consumers. However, some users post brand-incongruent content—for example, posts composed of brand-irrelevant images with brand-relevant hashtags. Such visual information mismatch can be problematic because it hinders…
Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking
Misinformation on social media has become a critical problem, particularly during a public health pandemic. Most social platforms today rely on users’ voluntary reports to determine which news stories to fact-check first. Despite the importance, no prior work has explored the potential biases in such a reporting process. This work proposes a novel methodology to assess how users perceive truth or misinformation in online news stories. By conducti…
News comment sections and online echo chambers
This study explored the presence of digital echo chambers in the realm of partisan media’s news comment sections in South Korea. We analyzed the political slant of 152 K user comments written by 76 K unique contributors on NAVER, the country’s most popular news aggregator. We found that the political slant of the average user comments to be in alignment with the political leaning of the conservative news outlets; however, this was not true of the…
The secret to successful evocative messages
We conducted two studies to compare how anxiety and anger influence the online spread of information. Study 1 found that tweets expressing anger reached more people and had deeper retweet chains than tweets expressing anxiety, across all measures of retweet cascades (i.e., size, depth, maximum breadth, and structural virality). Study 2 used an online survey and confirmed anger's supremacy in information sharing. Individuals who were angry indicat…
Health Implications on the Excessive Use of AI Chatbots
With technological advances, humans now communicate with machines as chat partners. This study reviews recent findings on the health implications of potential excessive use of AI chatbots. Based on the real human-machine conversations, we show what information people sought during the COVID-19 pandemic and identify the risks of relying on chatbots for medical advice. In particular, we found conversational chatbots such as ChatGPT can exacerbate t…
Risks and protective measures for synthetic relationships
Representation vs. Democracy? Presbyterianism in the Age of the French Revolution
This article argues against the cliché (posited most famously by Alexis de Tocqueville and Carl Schmitt), that there were inherent correspondences between religious and political concepts. Such connections were historically contingent, and had to be forged by polemicists and apologists who eclectically drew upon a variety of sources. This is evident from an examination of differing Presbyterian reactions to the French Revolution. John Brown in Sc…
Computer Science (8 works) · Psychology (6 works) · World Wide Web (6 works) · Political science (4 works) · Social media (4 works) · Advertising (3 works) · Business (3 works) · Complex Network Analysis Techniques (3 works) · Internet privacy (3 works) · Misinformation and Its Impacts (3 works)