Weiai Wayne Xu
Datos Biográficos
| ID | 360925 |
|---|---|
| NOMBRE | Weiai Wayne Xu |
| NOMBRES | Weiai Wayne |
| APELLIDO | Xu |
| FIRMA | XU W W |
| AFILIACIONES | University of Massachusetts Amherst |
| ORCID | 0000-0002-7369-3886 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 15 |
| TOTAL DE CITAS | 46 |
| TOTAL COMO AUTOR | 15 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2013 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2024 |
| ÍNDICE H | 4 |
Credible, but Not for Me
This study examines how Asian immigrants in the United States navigate American news media and respond to misinformation. Drawing on theoretical discussions on public trust in news, relational journalism, and immigrant’s news experiences and ethnic media, we analyze the folk theories of news held by Asian immigrants from China, the Philippines, and Korea. The analysis of 22 interviews reveals their non-committal identity as members of the America…
Envisioning a credit society
China’s Social Credit System (SCS) has been widely considered a centralized surveillance project, whereas recent research found multiple scoring systems co-existing in various fields at multiple administrative levels and in diverse forms. Despite the broadened view toward the complexity of SCS, these research projects continue to focus on SCS mainly as political and digital control mechanisms. Instead, this paper is interested in the social and c…
Hashtag framing and stakeholder targeting
Social media platforms such as Twitter provide opportunities for governments to connect to foreign publics and influence global public opinion. In the current study, we used social and semantic network analysis to investigate China’s digital public diplomacy campaign during COVID-19. Our results show that Chinese state-affiliated media and diplomatic accounts created hashtag frames and targeted stakeholders to challenge the United States or to co…
Stigma and blame related to Covid-19 pandemic
The Dark Social Web
This article offers a definitional note of the dark social web and introduces the remaining articles in this collection
Organizational Disaster Communication Ecology
Interagency coordination is crucial for effective multiagency disaster management. Viewing government and emergency management organizations as vital components of citizens' disaster communication ecology, this study examines how a group of Texas-based public health departments and emergency management offices engaged in interagency coordination during different phases of the COVID-19 pandemic. By analyzing coronavirus-related agency tweets betwe…
What Drives Hyper-Partisan News Sharing
A growing number of hyper-partisan alternative media outlets have sprung up online to challenge mainstream journalism. However, research on news sharing in this particular media environment is lacking. Based on the virality of seventeen partisan outlets’ coverage of immigration and using the latest computational linguistic algorithm, the present study probes how hyper-partisan news sharing is related to source transparency, content styles, and mo…
The more attacks, the more retweets
Network visualization and problem-solving support
Measuring international relations in social media conversations
Longitudinal dynamics of the cultural diffusion of Kpop on YouTube
Networked Creativity on the Censored Web 2.0
In most of the world, the current trend in information technology is for open data movement that promotes transparency and equal access. An opposite trend is observed in China, which has the world’s largest Internet population. The country has implemented sophisticated cyberinfrastructure and practices under the name of The Golden Shield Project (commonly referred to as the Great Firewall) to limit access to popular international web services and…
Predicting Opinion Leaders in Twitter Activism Networks
This study employs content and network analysis techniques to explore the predictors of opinion leadership in a political activism network on Twitter. The results demonstrate the feasibility of using user-generated content to measure user characteristics. The characteristics were analyzed to predict users' performance in the network. According to the results, Twitter users with higher connectivity and issue involvement are better at influencing i…
The benefits and burdens of network diversity
Previous research suggests that network diversity is associated with higher levels of political engagement due to enhanced political interest. However, network diversity may also constrain political engagement because politically heterogeneous networks are comprised of others with disparate attitudes and beliefs, which may inhibit communication about politics. The results from an online survey (N = 255) suggest that network diversity affords both…
Does social media users’ commenting behavior differ by their local community tie? A computer–assisted linguistic analysis approach
This study is an exploratory attempt to use automatic linguistic analysis for understanding social media users’ news commenting behavior. The study addresses geographically–based dynamics in human–computer interaction, namely, users’ tie to a geographic community. Specifically, the study reveals that commenting behavior differs between users of different levels of local community tie. Comments by local users, those with higher level of local comm…
Stigma and blame related to Covid-19 pandemic
Predicting Opinion Leaders in Twitter Activism Networks
This study employs content and network analysis techniques to explore the predictors of opinion leadership in a political activism network on Twitter. The results demonstrate the feasibility of using user-generated content to measure user characteristics. The characteristics were analyzed to predict users' performance in the network. According to the results, Twitter users with higher connectivity and issue involvement are better at influencing i…
Measuring international relations in social media conversations
Longitudinal dynamics of the cultural diffusion of Kpop on YouTube
Hashtag framing and stakeholder targeting
Social media platforms such as Twitter provide opportunities for governments to connect to foreign publics and influence global public opinion. In the current study, we used social and semantic network analysis to investigate China’s digital public diplomacy campaign during COVID-19. Our results show that Chinese state-affiliated media and diplomatic accounts created hashtag frames and targeted stakeholders to challenge the United States or to co…
Networked Creativity on the Censored Web 2.0
In most of the world, the current trend in information technology is for open data movement that promotes transparency and equal access. An opposite trend is observed in China, which has the world’s largest Internet population. The country has implemented sophisticated cyberinfrastructure and practices under the name of The Golden Shield Project (commonly referred to as the Great Firewall) to limit access to popular international web services and…
Envisioning a credit society
China’s Social Credit System (SCS) has been widely considered a centralized surveillance project, whereas recent research found multiple scoring systems co-existing in various fields at multiple administrative levels and in diverse forms. Despite the broadened view toward the complexity of SCS, these research projects continue to focus on SCS mainly as political and digital control mechanisms. Instead, this paper is interested in the social and c…
Organizational Disaster Communication Ecology
Interagency coordination is crucial for effective multiagency disaster management. Viewing government and emergency management organizations as vital components of citizens' disaster communication ecology, this study examines how a group of Texas-based public health departments and emergency management offices engaged in interagency coordination during different phases of the COVID-19 pandemic. By analyzing coronavirus-related agency tweets betwe…
The benefits and burdens of network diversity
Previous research suggests that network diversity is associated with higher levels of political engagement due to enhanced political interest. However, network diversity may also constrain political engagement because politically heterogeneous networks are comprised of others with disparate attitudes and beliefs, which may inhibit communication about politics. The results from an online survey (N = 255) suggest that network diversity affords both…
Does social media users’ commenting behavior differ by their local community tie? A computer–assisted linguistic analysis approach
This study is an exploratory attempt to use automatic linguistic analysis for understanding social media users’ news commenting behavior. The study addresses geographically–based dynamics in human–computer interaction, namely, users’ tie to a geographic community. Specifically, the study reveals that commenting behavior differs between users of different levels of local community tie. Comments by local users, those with higher level of local comm…
Predicting Opinion Leaders in Twitter Activism Networks
This study employs content and network analysis techniques to explore the predictors of opinion leadership in a political activism network on Twitter. The results demonstrate the feasibility of using user-generated content to measure user characteristics. The characteristics were analyzed to predict users' performance in the network. According to the results, Twitter users with higher connectivity and issue involvement are better at influencing i…
Networked Creativity on the Censored Web 2.0
In most of the world, the current trend in information technology is for open data movement that promotes transparency and equal access. An opposite trend is observed in China, which has the world’s largest Internet population. The country has implemented sophisticated cyberinfrastructure and practices under the name of The Golden Shield Project (commonly referred to as the Great Firewall) to limit access to popular international web services and…
Measuring international relations in social media conversations
Longitudinal dynamics of the cultural diffusion of Kpop on YouTube
The more attacks, the more retweets
Network visualization and problem-solving support
What Drives Hyper-Partisan News Sharing
A growing number of hyper-partisan alternative media outlets have sprung up online to challenge mainstream journalism. However, research on news sharing in this particular media environment is lacking. Based on the virality of seventeen partisan outlets’ coverage of immigration and using the latest computational linguistic algorithm, the present study probes how hyper-partisan news sharing is related to source transparency, content styles, and mo…
The Dark Social Web
This article offers a definitional note of the dark social web and introduces the remaining articles in this collection
Organizational Disaster Communication Ecology
Interagency coordination is crucial for effective multiagency disaster management. Viewing government and emergency management organizations as vital components of citizens' disaster communication ecology, this study examines how a group of Texas-based public health departments and emergency management offices engaged in interagency coordination during different phases of the COVID-19 pandemic. By analyzing coronavirus-related agency tweets betwe…
Hashtag framing and stakeholder targeting
Social media platforms such as Twitter provide opportunities for governments to connect to foreign publics and influence global public opinion. In the current study, we used social and semantic network analysis to investigate China’s digital public diplomacy campaign during COVID-19. Our results show that Chinese state-affiliated media and diplomatic accounts created hashtag frames and targeted stakeholders to challenge the United States or to co…
Stigma and blame related to Covid-19 pandemic
Envisioning a credit society
China’s Social Credit System (SCS) has been widely considered a centralized surveillance project, whereas recent research found multiple scoring systems co-existing in various fields at multiple administrative levels and in diverse forms. Despite the broadened view toward the complexity of SCS, these research projects continue to focus on SCS mainly as political and digital control mechanisms. Instead, this paper is interested in the social and c…
Credible, but Not for Me
This study examines how Asian immigrants in the United States navigate American news media and respond to misinformation. Drawing on theoretical discussions on public trust in news, relational journalism, and immigrant’s news experiences and ethnic media, we analyze the folk theories of news held by Asian immigrants from China, the Philippines, and Korea. The analysis of 22 interviews reveals their non-committal identity as members of the America…
Political science (13 obras) · Sociology (12 obras) · Computer Science (10 obras) · Social Media and Politics (9 obras) · Public relations (8 obras) · Law (7 obras) · Social media (7 obras) · Politics (6 obras) · Psychology (6 obras) · Law (5 obras)