Hsuan‐wei Lee
Biographic Data
| ID | 3582389 |
|---|---|
| NAME | Hsuan‐wei Lee |
| GIVEN NAMES | Hsuan‐wei |
| FAMILY NAME | Lee |
| SIGNATURE | LEE H W |
| AFFILIATIONS | University of Nebraska–Lincoln |
| ORCID | 0000-0002-3133-4738 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Personal cancer worry and Systemic Cancer Concern: Pathways to health behaviors via social media and emotional well-being
Cancer worry and concern are associated with how individuals engage with and interpret digital health environments, yet existing research has not distinguished between personal worry about individual risk and systemic concerns regarding institutional responses. This study examines how personal worry and systemic cancer concern relate to digital health behaviors through distinct affective and trust-related pathways. Drawing on an integrated theore…
A Theoretical Analysis of How Multiple Leadership and Flattened Status Structures Affect Cooperation in Task Groups
Status hierarchies have been shown to emerge in small, collectively-oriented task groups and to structure cooperative social interaction in them.In sociology, the argument that status hierarchies can facilitate cooperation in small groups has been theoretically validated by evolutionary models and empirically confirmed by laboratory/field experiments.Although there is a robust tendency toward the emergence of status hierarchies in small task grou…
Agents of Discord: Modeling the Impact of Political Bots on Opinion Polarization in Social Networks
The pervasive presence and influence of political bots have become the subject of extensive research in recent years. Studies have revealed that a significant percentage of active accounts are bots, contributing to the polarization of public sentiment online. This study employs an agent-based model in conducting computer simulations of complex social networks, to elucidate how bots, representing diverse ideological perspectives, exacerbate societ…
Health communication on social media at the early stage of the pandemic: Examining health professionals' Covid-19 related tweets
Focusing on health professionals' tweets regarding COVID-19, this study examines whether and how those tweets are unique based on their identity as health experts. The data revealed that the infusion of health communication with political opinions, whether pro- or against certain political parties or health policies, reflects values and may deviate from the original purpose of health communication. In addition, sentiment analysis countered the in…
From indirect to direct contacts on Facebook: A big‐data approach to the making of triadic network closure
The rise of the Big Data paradigm has made it more feasible to track how personal networks evolve on social media, where auto-generated contact records and fine-grained temporal data sequences help capture how and when interpersonal ties and contacts change their roles. Using a sample of matched survey data and social media records, we investigated the mechanisms by which indirect contacts ("degree-2 alters") transform into direct contacts ("degr…
Daily Contacts Under Quarantine amid Limited Spread of Covid-19 in Taiwan
The COVID-19 global pandemic has forced governments to adopt strategies to limit the spread of the virus in the first half of 2020. Under comprehensive lockdown and quarantine measures, social life and interpersonal contacts have changed drastically. We explore the extent to which people have adjusted their daily contacts in Taiwan, where the spread of the coronavirus has been minimal and only some potential virus carriers were ordered to quarant…
Models, methods and network topology: Experimental design for the study of interference
Agency and social constraint among victims of domestic minor sex trafficking: A method for measuring free will
Daily Contacts Under Quarantine amid Limited Spread of Covid-19 in Taiwan
The COVID-19 global pandemic has forced governments to adopt strategies to limit the spread of the virus in the first half of 2020. Under comprehensive lockdown and quarantine measures, social life and interpersonal contacts have changed drastically. We explore the extent to which people have adjusted their daily contacts in Taiwan, where the spread of the coronavirus has been minimal and only some potential virus carriers were ordered to quarant…
Models, methods and network topology: Experimental design for the study of interference
Agency and social constraint among victims of domestic minor sex trafficking: A method for measuring free will
Daily Contacts Under Quarantine amid Limited Spread of Covid-19 in Taiwan
The COVID-19 global pandemic has forced governments to adopt strategies to limit the spread of the virus in the first half of 2020. Under comprehensive lockdown and quarantine measures, social life and interpersonal contacts have changed drastically. We explore the extent to which people have adjusted their daily contacts in Taiwan, where the spread of the coronavirus has been minimal and only some potential virus carriers were ordered to quarant…
From indirect to direct contacts on Facebook: A big‐data approach to the making of triadic network closure
The rise of the Big Data paradigm has made it more feasible to track how personal networks evolve on social media, where auto-generated contact records and fine-grained temporal data sequences help capture how and when interpersonal ties and contacts change their roles. Using a sample of matched survey data and social media records, we investigated the mechanisms by which indirect contacts ("degree-2 alters") transform into direct contacts ("degr…
Agents of Discord: Modeling the Impact of Political Bots on Opinion Polarization in Social Networks
The pervasive presence and influence of political bots have become the subject of extensive research in recent years. Studies have revealed that a significant percentage of active accounts are bots, contributing to the polarization of public sentiment online. This study employs an agent-based model in conducting computer simulations of complex social networks, to elucidate how bots, representing diverse ideological perspectives, exacerbate societ…
Health communication on social media at the early stage of the pandemic: Examining health professionals' Covid-19 related tweets
Focusing on health professionals' tweets regarding COVID-19, this study examines whether and how those tweets are unique based on their identity as health experts. The data revealed that the infusion of health communication with political opinions, whether pro- or against certain political parties or health policies, reflects values and may deviate from the original purpose of health communication. In addition, sentiment analysis countered the in…
A Theoretical Analysis of How Multiple Leadership and Flattened Status Structures Affect Cooperation in Task Groups
Status hierarchies have been shown to emerge in small, collectively-oriented task groups and to structure cooperative social interaction in them.In sociology, the argument that status hierarchies can facilitate cooperation in small groups has been theoretically validated by evolutionary models and empirically confirmed by laboratory/field experiments.Although there is a robust tendency toward the emergence of status hierarchies in small task grou…
Personal cancer worry and Systemic Cancer Concern: Pathways to health behaviors via social media and emotional well-being
Cancer worry and concern are associated with how individuals engage with and interpret digital health environments, yet existing research has not distinguished between personal worry about individual risk and systemic concerns regarding institutional responses. This study examines how personal worry and systemic cancer concern relate to digital health behaviors through distinct affective and trust-related pathways. Drawing on an integrated theore…
Psychology (7 works) · Social Psychology (7 works) · Social Psychology (5 works) · Sociology (4 works) · Computer Science (3 works) · Medicine (3 works) · Opinion Dynamics and Social Influence (3 works) · Social media (3 works) · Complex Network Analysis Techniques (2 works) · Coronavirus disease 2019 (COVID-19 (2 works)