Yingjia Huang
Biographic Data
| ID | 4448856 |
|---|---|
| NAME | Yingjia Huang |
| GIVEN NAMES | Yingjia |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG Y |
| AFFILIATIONS | Peking University |
| ORCID | 0009-0005-4187-7989 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Provincializing vulnerability
This article examines how East Asian COVID-19 scholarship conceptualizes vulnerable groups and communication inequality, and what this regional corpus contributes to comparative health communication and the sociology of epidemics. Drawing on bibliometric mapping and article-level thematic coding of 184 peer-reviewed studies published between 2020 and 2025 on China, Japan, and South Korea, the study compares East Asia-focused research with global …
Unmasking entities
This study helps explain how audiences respond when virtual influencers and VTubers reveal personal or hidden information about themselves, such as the person behind a VTuber or the technology behind a virtual influencer. Results show that these “unmasking” moments can actually increase trust and connection, especially when they clarify identity or show bravery. These findings can guide creators and platforms in using digital self-disclosure to b…
Personality meets the machine
Good night versus goodbye? Comparing the mourning remarks of virtual and human uploaders through a data-mining approach
In response to the rapid growth in the popularity of virtual humans, this study investigates the attitudes and perceptions of young viewers, from Generation Z in particular, toward virtual uploaders (VTubers). We qualitatively and quantitatively compared the online mourning directed at the “demised” virtual uploaders and deceased human uploaders, and human celebrities through a data-mining approach. Two salient patterns emerge. The mourning remar…
Good night versus goodbye? Comparing the mourning remarks of virtual and human uploaders through a data-mining approach
In response to the rapid growth in the popularity of virtual humans, this study investigates the attitudes and perceptions of young viewers, from Generation Z in particular, toward virtual uploaders (VTubers). We qualitatively and quantitatively compared the online mourning directed at the “demised” virtual uploaders and deceased human uploaders, and human celebrities through a data-mining approach. Two salient patterns emerge. The mourning remar…
Good night versus goodbye? Comparing the mourning remarks of virtual and human uploaders through a data-mining approach
In response to the rapid growth in the popularity of virtual humans, this study investigates the attitudes and perceptions of young viewers, from Generation Z in particular, toward virtual uploaders (VTubers). We qualitatively and quantitatively compared the online mourning directed at the “demised” virtual uploaders and deceased human uploaders, and human celebrities through a data-mining approach. Two salient patterns emerge. The mourning remar…
Personality meets the machine
Provincializing vulnerability
This article examines how East Asian COVID-19 scholarship conceptualizes vulnerable groups and communication inequality, and what this regional corpus contributes to comparative health communication and the sociology of epidemics. Drawing on bibliometric mapping and article-level thematic coding of 184 peer-reviewed studies published between 2020 and 2025 on China, Japan, and South Korea, the study compares East Asia-focused research with global …
Unmasking entities
This study helps explain how audiences respond when virtual influencers and VTubers reveal personal or hidden information about themselves, such as the person behind a VTuber or the technology behind a virtual influencer. Results show that these “unmasking” moments can actually increase trust and connection, especially when they clarify identity or show bravery. These findings can guide creators and platforms in using digital self-disclosure to b…
Perception (3 works) · Aesthetics (1 work) · Art (1 work) · Artificial Intelligence (1 work) · Big Five personality traits (1 work) · China's Socioeconomic Reforms and Governance (1 work) · Comparative research (1 work) · Computer Science (1 work) · Corporate governance (1 work) · COVID-19 and Mental Health (1 work)