Young Eun Park
Biographic Data
| ID | 6306403 |
|---|---|
| NAME | Young Eun Park |
| GIVEN NAMES | Young Eun |
| FAMILY NAME | Park |
| SIGNATURE | PARK Y E |
| AFFILIATIONS | Sookmyung Women's University |
| ORCID | 0009-0008-5655-6370 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
A deep understanding of influencer marketing in the tourism industry: A structural analysis of unstructured text
Using both a word frequency approach and a cutting-edge transfer learning technique for natural language processing with BERTopic, the present study analysed the entire texts from the top 40 travel influencers’ Instagram posts (n = 23,223). Among the 256 features that we initially extracted, we ranked the top 19 features using the machine learning algorithm XGBoost and estimated the effects of these features on consumer engagement using Negative …
Understanding travel influencers’ video on instagram: A transfer learning approach
Predicting user engagement with textual, visual, and social media features for online travel agencies' Instagram post: Evidence from machine learning
By utilizing supervised, unsupervised, and transfer learning techniques, the present article analyzes the entire three major online travel agencies’ Instagram posts (n = 6,083) to investigate which features contribute more to predicting the user engagement. Among 109 textual, visual, and social media post specific features that we initially extracted, we find the important features using the XGBoost algorithm and estimate the effects of each feat…
Men are Angry, and Women are Happy: A Transfer-Learning Approach for Analyzing Gender Stereotypes in Social Media Challenge Postings
Developing a Covid-19 Crisis Management Strategy Using News Media and Social Media in Big Data Analytics
Due to the unpredictability of global events such as a COVID-19 pandemic, it is necessary to prepare for a crisis management strategy at the macro-level in each country to respond to crises that bring about social change. This study is designed to discover critical priorities and agendas in crisis management in Saudi Arabia by grasping the most recent social issues of the COVID-19 pandemic addressed in the most trusted media sources. The data wer…
Muting or Meddling? Advocacy as a Relational Communication Strategy Affecting Organization–Public Relationships and Stakeholder Response
This article conceptualizes organizational advocacy as a relational communication strategy by which organizations take stances on controversial, sociopolitical issues to signal shared commitment with key publics. The authors conducted a series of two-by-two experimental surveys—controlling whether an organization took a defined position (advocacy vs. silence) and whether it acted alone or in line with peers (leader vs. follower)—across both less …
On the Field of Environmental Communication: A Systematic Review of the Peer-Reviewed Literature
On the Field of Environmental Communication: A Systematic Review of the Peer-Reviewed Literature
Muting or Meddling? Advocacy as a Relational Communication Strategy Affecting Organization–Public Relationships and Stakeholder Response
This article conceptualizes organizational advocacy as a relational communication strategy by which organizations take stances on controversial, sociopolitical issues to signal shared commitment with key publics. The authors conducted a series of two-by-two experimental surveys—controlling whether an organization took a defined position (advocacy vs. silence) and whether it acted alone or in line with peers (leader vs. follower)—across both less …
Developing a Covid-19 Crisis Management Strategy Using News Media and Social Media in Big Data Analytics
Due to the unpredictability of global events such as a COVID-19 pandemic, it is necessary to prepare for a crisis management strategy at the macro-level in each country to respond to crises that bring about social change. This study is designed to discover critical priorities and agendas in crisis management in Saudi Arabia by grasping the most recent social issues of the COVID-19 pandemic addressed in the most trusted media sources. The data wer…
Predicting user engagement with textual, visual, and social media features for online travel agencies' Instagram post: Evidence from machine learning
By utilizing supervised, unsupervised, and transfer learning techniques, the present article analyzes the entire three major online travel agencies’ Instagram posts (n = 6,083) to investigate which features contribute more to predicting the user engagement. Among 109 textual, visual, and social media post specific features that we initially extracted, we find the important features using the XGBoost algorithm and estimate the effects of each feat…
Men are Angry, and Women are Happy: A Transfer-Learning Approach for Analyzing Gender Stereotypes in Social Media Challenge Postings
A deep understanding of influencer marketing in the tourism industry: A structural analysis of unstructured text
Using both a word frequency approach and a cutting-edge transfer learning technique for natural language processing with BERTopic, the present study analysed the entire texts from the top 40 travel influencers’ Instagram posts (n = 23,223). Among the 256 features that we initially extracted, we ranked the top 19 features using the machine learning algorithm XGBoost and estimated the effects of these features on consumer engagement using Negative …
Understanding travel influencers’ video on instagram: A transfer learning approach
Business (4 works) · Computer Science (4 works) · Social media (4 works) · Advertising (3 works) · Digital Marketing and Social Media (3 works) · Political science (3 works) · Sociology (3 works) · World Wide Web (3 works) · Artificial Intelligence (2 works) · Influencer marketing (2 works)