Haizhou Wang
Biographic Data
| ID | 5802892 |
|---|---|
| NAME | Haizhou Wang |
| GIVEN NAMES | Haizhou |
| FAMILY NAME | Wang |
| SIGNATURE | WANG H |
| AFFILIATIONS | Beijing Film Academy |
| ORCID | 0000-0003-1197-5906 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A Novel Retrospective-Reading Model for Detecting Chinese Sarcasm Comments of Online Social Network
Through the use of sarcastic sentences on social media, people can express their strong emotions. Therefore, the detection of sarcasm in social media has received more and more attention over the past years. Classifying a sentence as sarcastic or nonsarcastic heavily relies on the contextual information of the sentence. However, only focusing on the features of target text is the main solution of most existing research. Moreover, the scale of pub…
Chinese Cinephiles in the Post-Pandemic Pandemic Era
The COVID-19 pandemic has reshaped film consumption patterns in China, driving a notable transition from traditional theatres to over-the-top (OTT) platforms. This study investigates the factors influencing post-pandemic cinephile preferences, particularly the interplay between OTT platforms and traditional cinema-going platforms. The surge in online streaming, boosted by pandemic-induced restrictions, has been critical with regional giants such …
The evolution of research on digital communication and social protests
The rise of digital communication technologies has significantly changed how people participate in social protests. Digital platforms—such as social media—have enabled individuals to organize and mobilize protests on a global scale. As a result, there has been a growing interest in understanding the role of digital communication in social protests. This manuscript provides a comprehensive bibliometric analysis of the evolution of research on digi…
Detecting Offensive Language Based on Graph Attention Networks and Fusion Features
The pervasiveness of offensive language on social networks has caused adverse effects on society, such as abusive behavior online. It is urgent to detect offensive language and curb its spread. In the popular datasets, the distribution of users and tweets is imbalanced, which limits the generalization ability of the model. In addition, existing research shows that methods with community information extracted from the social graphs effectively imp…
Exploring the Popularity and Acceptability of Indian and South Korean Films among Chinese Audiences
This paper presents a comprehensive analysis of the popularity and acceptability of Indian and South Korean films among Chinese audiences, highlighting the dynamics of film globalization within Mainland China. The study aims to investigate the appeal of Indian and South Korean cinemas among Chinese moviegoers. Data were collected through a questionnaire-based survey with 1963 respondents. The findings indicate that 45% of respondents regularly wa…
Three decades of glocalization research
Glocalization, adapting global practices to local contexts, has become increasingly important in scientific research. However, the impact of global and local collaboration networks on glocalization remains underexplored. In this study, we conduct a bibliometric analysis to examine publications in the field of glocalization recorded in the Scopus database from 1993–2023. Using data from 12,046 publications, we identify key themes, publication tren…
Consumption of ultra-processed foods and health outcomes
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Consumption of ultra-processed foods and health outcomes
Three decades of glocalization research
Glocalization, adapting global practices to local contexts, has become increasingly important in scientific research. However, the impact of global and local collaboration networks on glocalization remains underexplored. In this study, we conduct a bibliometric analysis to examine publications in the field of glocalization recorded in the Scopus database from 1993–2023. Using data from 12,046 publications, we identify key themes, publication tren…
The evolution of research on digital communication and social protests
The rise of digital communication technologies has significantly changed how people participate in social protests. Digital platforms—such as social media—have enabled individuals to organize and mobilize protests on a global scale. As a result, there has been a growing interest in understanding the role of digital communication in social protests. This manuscript provides a comprehensive bibliometric analysis of the evolution of research on digi…
Detecting Offensive Language Based on Graph Attention Networks and Fusion Features
The pervasiveness of offensive language on social networks has caused adverse effects on society, such as abusive behavior online. It is urgent to detect offensive language and curb its spread. In the popular datasets, the distribution of users and tweets is imbalanced, which limits the generalization ability of the model. In addition, existing research shows that methods with community information extracted from the social graphs effectively imp…
Exploring the Popularity and Acceptability of Indian and South Korean Films among Chinese Audiences
This paper presents a comprehensive analysis of the popularity and acceptability of Indian and South Korean films among Chinese audiences, highlighting the dynamics of film globalization within Mainland China. The study aims to investigate the appeal of Indian and South Korean cinemas among Chinese moviegoers. Data were collected through a questionnaire-based survey with 1963 respondents. The findings indicate that 45% of respondents regularly wa…
A Novel Retrospective-Reading Model for Detecting Chinese Sarcasm Comments of Online Social Network
Through the use of sarcastic sentences on social media, people can express their strong emotions. Therefore, the detection of sarcasm in social media has received more and more attention over the past years. Classifying a sentence as sarcastic or nonsarcastic heavily relies on the contextual information of the sentence. However, only focusing on the features of target text is the main solution of most existing research. Moreover, the scale of pub…
Chinese Cinephiles in the Post-Pandemic Pandemic Era
The COVID-19 pandemic has reshaped film consumption patterns in China, driving a notable transition from traditional theatres to over-the-top (OTT) platforms. This study investigates the factors influencing post-pandemic cinephile preferences, particularly the interplay between OTT platforms and traditional cinema-going platforms. The surge in online streaming, boosted by pandemic-induced restrictions, has been critical with regional giants such …
Computer Science (3 works) · Political science (3 works) · Artificial Intelligence (2 works) · Hate Speech and Cyberbullying Detection (2 works) · Machine learning (2 works) · Natural language processing (2 works) · Scopus (2 works) · Social media (2 works) · Sociology (2 works) · World Wide Web (2 works)