Exploring tourist interaction from user-generated content: Topic analysis and content analysis

被引：20

作者：

Yan, Qiang ^{[1
]}

Jiang, Ting ^{[2
]}

Zhou, Simin ^{[2
]}

Zhang, Xiaoyan ^{[3
]}

机构：

[1] Beijing Univ Posts & Telecommun, Sch modern post, Beijing, Peoples R China

[2] Beijing Univ Posts & Telecommun, Sch econ & management, Beijing, Peoples R China

[3] China Mobile Commun Corp, Beijing, Peoples R China

来源：

JOURNAL OF VACATION MARKETING | 2024年 / 30卷 / 02期

关键词：

tourist interaction; user-generated content; latent dirichlet allocation; topic analysis; content analysis; VALUE CO-CREATION; WORD-OF-MOUTH; DESTINATION IMAGE; ONLINE REVIEWS; TRAVEL; EXPERIENCE; INTENTION; RATINGS; TRIPADVISOR; RESIDENTS;

D O I：

10.1177/13567667221135196

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This study aimed to identify the interaction actors, experiences, and results of tourists during their travels. Latent Dirichlet Allocation theme analysis was used to identify different themes in 9254 TripAdvisor items of user-generated content (UGC) and 15600 items of Sina Weibo UGC. A content analysis of 2000 UGC items was conducted using NVivo 11 software to uncover the details of tourist interactions. The study results showed that tourists preferred to share reviews on TripAdvisor and emotions on Sina Weibo. Seven types of tourist interaction actors were found: city, attractions, natural environment, companions, other tourists, residents, and service personnel. Seven emotions were generated in positive or negative interactions: joy, happiness, missing, awe, belonging, disappointment, and anger. Our findings provide insights for tourism managers and marketeers.

引用

页码：327 / 344

页数：18

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