Chau-Wai Wong
Biographic Data
| ID | 6640859 |
|---|---|
| NAME | Chau-Wai Wong |
| GIVEN NAMES | Chau-Wai |
| FAMILY NAME | Wong |
| SIGNATURE | WONG C |
| AFFILIATIONS | North Carolina State University |
| ORCID | 0000-0002-3873-7708 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Automating Content Analysis With Multiple LLM Agents
Emerging research in computational social science has applied LLMs to automate content analysis, often by prompting a single model to act as a human coder. While a single LLM may suffice for a few manifest variables, it still falls short on diverse latent constructs. And the impact of LLM agent attributes on measurement outcomes remains unclear, limiting their validity for communication research. Drawing upon the literature on interacting agents …
TikTok engagement traces over time and health risky behaviors
Tailoring generative AI chatbots for multiethnic communities in disaster preparedness communication
This study is among the first to develop different prototypes of generative artificial intelligence (GenAI) chatbots powered by GPT-4 to communicate hurricane preparedness information to diverse residents. Drawing from the Computers Are Social Actors paradigm and the literature on disaster vulnerability and cultural tailoring, we conducted a between-subjects experiment with 441 Black, Hispanic, and Caucasian residents of Florida. Our results sugg…
Segmenting and Understanding Publics in a Social Media Information Sharing Network
This study segments social media publics and analyzes their informational behaviors during organizational crises. With a public-centric perspective, our study highlights how social media publics interact with each other (i.e., interdependence) and share different information through crisis stages (i.e., dynamics). Following the situational approach to segmentation, we identify different types of social media publics (i.e., influentials, broadcast…
Segmenting and Understanding Publics in a Social Media Information Sharing Network
This study segments social media publics and analyzes their informational behaviors during organizational crises. With a public-centric perspective, our study highlights how social media publics interact with each other (i.e., interdependence) and share different information through crisis stages (i.e., dynamics). Following the situational approach to segmentation, we identify different types of social media publics (i.e., influentials, broadcast…
Segmenting and Understanding Publics in a Social Media Information Sharing Network
This study segments social media publics and analyzes their informational behaviors during organizational crises. With a public-centric perspective, our study highlights how social media publics interact with each other (i.e., interdependence) and share different information through crisis stages (i.e., dynamics). Following the situational approach to segmentation, we identify different types of social media publics (i.e., influentials, broadcast…
TikTok engagement traces over time and health risky behaviors
Tailoring generative AI chatbots for multiethnic communities in disaster preparedness communication
This study is among the first to develop different prototypes of generative artificial intelligence (GenAI) chatbots powered by GPT-4 to communicate hurricane preparedness information to diverse residents. Drawing from the Computers Are Social Actors paradigm and the literature on disaster vulnerability and cultural tailoring, we conducted a between-subjects experiment with 441 Black, Hispanic, and Caucasian residents of Florida. Our results sugg…
Automating Content Analysis With Multiple LLM Agents
Emerging research in computational social science has applied LLMs to automate content analysis, often by prompting a single model to act as a human coder. While a single LLM may suffice for a few manifest variables, it still falls short on diverse latent constructs. And the impact of LLM agent attributes on measurement outcomes remains unclear, limiting their validity for communication research. Drawing upon the literature on interacting agents …
Computer Science (3 works) · Complex Network Analysis Techniques (2 works) · Content analysis (2 works) · Political science (2 works) · Psychology (2 works) · Social Psychology (2 works) · Agent-based model (1 work) · AI in Service Interactions (1 work) · Artificial Intelligence (1 work) · Authorship Attribution and Profiling (1 work)