Joanne Yu
Biographic Data
| ID | 4626011 |
|---|---|
| NAME | Joanne Yu |
| GIVEN NAMES | Joanne |
| FAMILY NAME | Yu |
| SIGNATURE | YU J |
| AFFILIATIONS | City University of Macau |
| ORCID | 0000-0001-7605-6367 |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 115 |
| AUTHOR COUNT | 20 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 5 |
Beyond the Screen
This research explores the evolving dynamics of consumer interactions with artificial intelligence (AI) travel influencers through the lens of trans-parasocial relationships. By integrating Louvain clustering with an interpretative qualitative approach, this study examines the Instagram accounts of two pioneering AI travel influencers: Sena Zaro and Emma. It identifies distinct thematic clusters and analyses the nature of interactions based on us…
The implicit and explicit emotional influence on travel intentions and parasocial relationships
By integrating the Implicit Association Test (IAT) and self-reported surveys, this study explores the intricate dynamics of emotional contagion and parasocial relationships within the context of tourism imagery. The findings reveal that implicit attitudes for images featuring smiles are associated with lower travel intentions. This indicates that automatic affective associations do not always translate into overt behavioural intentions. Conversel…
Content framing and presenter roles in tourism short videos
Drawing on the concept of telepresence and flow theory, this study investigates how the content of tourism short video and presenter roles influence travel intentions. By utilising a 2 (Content: Emotional vs. Informative) × 2 (Presenter role: Narrators vs. Performers) × 2 (Gender: Male vs. Female) experimental design, the findings reveal that emotional content featuring female presenters significantly enhances travel intentions compared to male p…
The Sound of Reels
This study investigates sound features’ impact on user engagement in destination marketing short-form videos. Using acoustic scene analysis and the theory of interactive media effects, the research focuses on key audio metrics: chroma, zero-crossing, root mean square, onset strength, tempo, and pitch. Analysing a dataset of 11,451 reels across 141 countries, the findings reveal that acoustic complexity and onset strength negatively correlate with…
The transformative potential of AI voice assistants as virtual travel companions
This study investigates the application of artificial intelligence (AI) voice assistants as virtual companions in tourism. Drawing on virtual companion theory and the value-based adoption model, an integrated framework was developed to examine the relationships among anthropomorphism, perceived value, travel companion connectivity, emotional attachment, and travel intention. The study innovatively introduces travel preference (solo/group) as a mo…
Meme magic
Decoding linguistic complexity in tourism studies
Epistemological challenges at data-theory intersection
The Art of Post Captions
In addition to the significance of visual content, text characteristics serve as salient factors influencing how users react to social media posts. By extracting 9,766 Instagram posts published by destination marketers, this research investigates the interplay between the readability of post captions and destination attributes derived from pictorial content on user engagement. Grounded in the theoretical lens of processing fluency and image-text …
An eye-tracking study on autistic children’s visual attention
Lessons from the Departed
Traveling to die in another country is a morbid, but pertinent, topic that remains underresearched in tourism. This project aims to address this research gap by examining the underlying motivations of actual individual travelers who have travelled to Switzerland as their final life destination to commit physician-assisted suicide (PAS). Using documentaries from major news channels, content analysis was conducted to systematically examine intervie…
A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and Bertopic to Demystify Twitter Posts
The richness of social media data has opened a new avenue for social science research to gain insights into human behaviors and experiences. In particular, emerging data-driven approaches relying on topic models provide entirely new perspectives on interpreting social phenomena. However, the short, text-heavy, and unstructured nature of social media content often leads to methodological challenges in both data collection and analysis. In order to…
Looking behind the scenes at dark tourism
Although scholars have discussed the topic of dark tourism from various angles, little is known from tourists’ perspectives. Thus, it remains largely unanswered whether the research agendas in the field of dark tourism also correspond to the reality of tourism or whether relevant topics remain unaddressed. This study uses natural language processing approaches to uncover the differences and similarities in knowledge between tourists and researche…
An eye-tracking study of exoticism in intra-national destinations in the Greater Bay area of China
Tourists have a tendency to seek novelty, meaning that they are attracted by the foreign atmosphere or culture that they barely experience in daily-life. It thus opens tourism opportunities for countries rich in colonial background or exotic resources. While international tourists’ novelty-seeking behaviours have been well-investigated, far less attention has been paid to domestic exotic travelling experience. Hence, this paper examines how young…
A machine learning approach to cluster destination image on Instagram
Symbols are powerful in branding and marketing to represent tourist attractions. By bridging semiotics, marketing, and data science in the tourism context, this study uncovers the destination image based on Instagram photographs. This study constructed a novel methodological framework by evaluating different machine learning models to group textual information based on pictorial content. The results highlighted specific destination image clusters…
Designing experiences in the age of human transformation
In the emerging transformation age, not only do experiences with transformational qualities happen by chance, but they are induced through intentional design. This study investigates the human gathering Burning Man, often stipulated as one of the world's most transformative large-scale experiences. Grounded in the theoretical lens of environmental psychology, a deep topological analysis was conducted based on Instagram data to analyse participant…
Color and engagement in touristic Instagram pictures
Color plays a critical role in recognizing tourist experiences and influencing their emotions. By classifying tourism photos on Instagram using machine learning, this study uncovers the relationship between color and user engagement based on pictures with different features. The findings show that the presence of the color blue in photos featuring natural scenery, high-end gastronomy, and sacral architectures contributes to user engagement. A red…
Defining Physician-Assisted Suicide Tourism and Travel
The concept of suicide tourism was first mentioned in the late 1900s; however, definitions remain ambiguous. Although “tourism” is often associated with joyful experiences, it takes involves forms and purposes that may not be leisure- or pleasure-related, in which suicide tourism is unique and scarcely examined. This study reviews relevant literature, reframes the definition of suicide tourism, and provides a better understanding of this emerging…
Physician-assisted suicide travel constraints
Constraints to participating in leisure activities have been studied extensively. Yet given the sensitive nature of death and death-related topics, little effort has been invested in understanding travel constraints that limit people’s decisions to engage in physician-assisted suicide travel. As this form of travel is a relatively new area of interest in the tourism literature, this study investigates the public’s perceptions of physician-assiste…
The role of Instagram in the Unesco's creative city of gastronomy
A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and Bertopic to Demystify Twitter Posts
The richness of social media data has opened a new avenue for social science research to gain insights into human behaviors and experiences. In particular, emerging data-driven approaches relying on topic models provide entirely new perspectives on interpreting social phenomena. However, the short, text-heavy, and unstructured nature of social media content often leads to methodological challenges in both data collection and analysis. In order to…
Color and engagement in touristic Instagram pictures
Color plays a critical role in recognizing tourist experiences and influencing their emotions. By classifying tourism photos on Instagram using machine learning, this study uncovers the relationship between color and user engagement based on pictures with different features. The findings show that the presence of the color blue in photos featuring natural scenery, high-end gastronomy, and sacral architectures contributes to user engagement. A red…
Designing experiences in the age of human transformation
In the emerging transformation age, not only do experiences with transformational qualities happen by chance, but they are induced through intentional design. This study investigates the human gathering Burning Man, often stipulated as one of the world's most transformative large-scale experiences. Grounded in the theoretical lens of environmental psychology, a deep topological analysis was conducted based on Instagram data to analyse participant…
A machine learning approach to cluster destination image on Instagram
Symbols are powerful in branding and marketing to represent tourist attractions. By bridging semiotics, marketing, and data science in the tourism context, this study uncovers the destination image based on Instagram photographs. This study constructed a novel methodological framework by evaluating different machine learning models to group textual information based on pictorial content. The results highlighted specific destination image clusters…
The role of Instagram in the Unesco's creative city of gastronomy
The Art of Post Captions
In addition to the significance of visual content, text characteristics serve as salient factors influencing how users react to social media posts. By extracting 9,766 Instagram posts published by destination marketers, this research investigates the interplay between the readability of post captions and destination attributes derived from pictorial content on user engagement. Grounded in the theoretical lens of processing fluency and image-text …
An eye-tracking study of exoticism in intra-national destinations in the Greater Bay area of China
Tourists have a tendency to seek novelty, meaning that they are attracted by the foreign atmosphere or culture that they barely experience in daily-life. It thus opens tourism opportunities for countries rich in colonial background or exotic resources. While international tourists’ novelty-seeking behaviours have been well-investigated, far less attention has been paid to domestic exotic travelling experience. Hence, this paper examines how young…
Physician-assisted suicide travel constraints
Constraints to participating in leisure activities have been studied extensively. Yet given the sensitive nature of death and death-related topics, little effort has been invested in understanding travel constraints that limit people’s decisions to engage in physician-assisted suicide travel. As this form of travel is a relatively new area of interest in the tourism literature, this study investigates the public’s perceptions of physician-assiste…
Looking behind the scenes at dark tourism
Although scholars have discussed the topic of dark tourism from various angles, little is known from tourists’ perspectives. Thus, it remains largely unanswered whether the research agendas in the field of dark tourism also correspond to the reality of tourism or whether relevant topics remain unaddressed. This study uses natural language processing approaches to uncover the differences and similarities in knowledge between tourists and researche…
Physician-assisted suicide travel constraints
Constraints to participating in leisure activities have been studied extensively. Yet given the sensitive nature of death and death-related topics, little effort has been invested in understanding travel constraints that limit people’s decisions to engage in physician-assisted suicide travel. As this form of travel is a relatively new area of interest in the tourism literature, this study investigates the public’s perceptions of physician-assiste…
The role of Instagram in the Unesco's creative city of gastronomy
Defining Physician-Assisted Suicide Tourism and Travel
The concept of suicide tourism was first mentioned in the late 1900s; however, definitions remain ambiguous. Although “tourism” is often associated with joyful experiences, it takes involves forms and purposes that may not be leisure- or pleasure-related, in which suicide tourism is unique and scarcely examined. This study reviews relevant literature, reframes the definition of suicide tourism, and provides a better understanding of this emerging…
A machine learning approach to cluster destination image on Instagram
Symbols are powerful in branding and marketing to represent tourist attractions. By bridging semiotics, marketing, and data science in the tourism context, this study uncovers the destination image based on Instagram photographs. This study constructed a novel methodological framework by evaluating different machine learning models to group textual information based on pictorial content. The results highlighted specific destination image clusters…
Designing experiences in the age of human transformation
In the emerging transformation age, not only do experiences with transformational qualities happen by chance, but they are induced through intentional design. This study investigates the human gathering Burning Man, often stipulated as one of the world's most transformative large-scale experiences. Grounded in the theoretical lens of environmental psychology, a deep topological analysis was conducted based on Instagram data to analyse participant…
Color and engagement in touristic Instagram pictures
Color plays a critical role in recognizing tourist experiences and influencing their emotions. By classifying tourism photos on Instagram using machine learning, this study uncovers the relationship between color and user engagement based on pictures with different features. The findings show that the presence of the color blue in photos featuring natural scenery, high-end gastronomy, and sacral architectures contributes to user engagement. A red…
Lessons from the Departed
Traveling to die in another country is a morbid, but pertinent, topic that remains underresearched in tourism. This project aims to address this research gap by examining the underlying motivations of actual individual travelers who have travelled to Switzerland as their final life destination to commit physician-assisted suicide (PAS). Using documentaries from major news channels, content analysis was conducted to systematically examine intervie…
A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and Bertopic to Demystify Twitter Posts
The richness of social media data has opened a new avenue for social science research to gain insights into human behaviors and experiences. In particular, emerging data-driven approaches relying on topic models provide entirely new perspectives on interpreting social phenomena. However, the short, text-heavy, and unstructured nature of social media content often leads to methodological challenges in both data collection and analysis. In order to…
Looking behind the scenes at dark tourism
Although scholars have discussed the topic of dark tourism from various angles, little is known from tourists’ perspectives. Thus, it remains largely unanswered whether the research agendas in the field of dark tourism also correspond to the reality of tourism or whether relevant topics remain unaddressed. This study uses natural language processing approaches to uncover the differences and similarities in knowledge between tourists and researche…
An eye-tracking study of exoticism in intra-national destinations in the Greater Bay area of China
Tourists have a tendency to seek novelty, meaning that they are attracted by the foreign atmosphere or culture that they barely experience in daily-life. It thus opens tourism opportunities for countries rich in colonial background or exotic resources. While international tourists’ novelty-seeking behaviours have been well-investigated, far less attention has been paid to domestic exotic travelling experience. Hence, this paper examines how young…
An eye-tracking study on autistic children’s visual attention
The transformative potential of AI voice assistants as virtual travel companions
This study investigates the application of artificial intelligence (AI) voice assistants as virtual companions in tourism. Drawing on virtual companion theory and the value-based adoption model, an integrated framework was developed to examine the relationships among anthropomorphism, perceived value, travel companion connectivity, emotional attachment, and travel intention. The study innovatively introduces travel preference (solo/group) as a mo…
Meme magic
Decoding linguistic complexity in tourism studies
Epistemological challenges at data-theory intersection
The Art of Post Captions
In addition to the significance of visual content, text characteristics serve as salient factors influencing how users react to social media posts. By extracting 9,766 Instagram posts published by destination marketers, this research investigates the interplay between the readability of post captions and destination attributes derived from pictorial content on user engagement. Grounded in the theoretical lens of processing fluency and image-text …
Beyond the Screen
This research explores the evolving dynamics of consumer interactions with artificial intelligence (AI) travel influencers through the lens of trans-parasocial relationships. By integrating Louvain clustering with an interpretative qualitative approach, this study examines the Instagram accounts of two pioneering AI travel influencers: Sena Zaro and Emma. It identifies distinct thematic clusters and analyses the nature of interactions based on us…
The implicit and explicit emotional influence on travel intentions and parasocial relationships
By integrating the Implicit Association Test (IAT) and self-reported surveys, this study explores the intricate dynamics of emotional contagion and parasocial relationships within the context of tourism imagery. The findings reveal that implicit attitudes for images featuring smiles are associated with lower travel intentions. This indicates that automatic affective associations do not always translate into overt behavioural intentions. Conversel…
Content framing and presenter roles in tourism short videos
Drawing on the concept of telepresence and flow theory, this study investigates how the content of tourism short video and presenter roles influence travel intentions. By utilising a 2 (Content: Emotional vs. Informative) × 2 (Presenter role: Narrators vs. Performers) × 2 (Gender: Male vs. Female) experimental design, the findings reveal that emotional content featuring female presenters significantly enhances travel intentions compared to male p…
The Sound of Reels
This study investigates sound features’ impact on user engagement in destination marketing short-form videos. Using acoustic scene analysis and the theory of interactive media effects, the research focuses on key audio metrics: chroma, zero-crossing, root mean square, onset strength, tempo, and pitch. Analysing a dataset of 11,451 reels across 141 countries, the findings reveal that acoustic complexity and onset strength negatively correlate with…
Tourism (15 works) · Psychology (12 works) · Diverse Aspects of Tourism Research (10 works) · Sociology (9 works) · Advertising (7 works) · Business (7 works) · Digital Marketing and Social Media (7 works) · Geography (7 works) · Computer Science (6 works) · Political science (6 works)