Understanding the perceived capital of a travel destination: a theme-based corpus analysis of an online destination forum

Abstract As an empirical investigation of naturally-occurring self-initiated posts in a destination forum on one of the world’s most popular travel websites Tripadvisor, the present study identifies the key themes in forum posts generated by travelers worldwide about Hong Kong SAR, China (hereafter Hong Kong), one of the world’s most visited city. Incorporating both qualitative and quantitative methodological approaches, it examines the dominant discourses in the forum posts through a combined thematic and keyword corpus analysis. In addition, Bourdieu’s tripartite notion of capital is employed to provide insights into the main resources that travelers to Hong Kong associate with or ask about the city. Four dominant patterns of discourse, namely the discourse of mobility, pleasure seeking, convenience, and budget orientation, have been identified, suggesting that Hong Kong is constructed discursively through its built economic capital in the forum, with little regard for its cultural or social capital. Findings from the study not only provide a window into the qualities, attributes and identities of the city as perceived by the forum users, they also point to the underlying assumptions and expectations that users have about a place, and to the preferences and attitudes which shape the identity of the forum users themselves.

Authors

Institutions

Publication Details

Journal
Journal of World Languages
Published
2025-05-30
DOI
https://doi.org/10.1515/jwl-2024-0083
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding the perceived capital of a travel destination: a theme-based corpus analysis of an online destination forum

Phoenix W. Y. Lam
Journal of World Languages
Digital Marketing and Social Media
article

Understanding the perceived capital of a travel destination: a theme-based corpus analysis of an online destination forum

Phoenix W. Y. Lam
article en

Abstract

Abstract As an empirical investigation of naturally-occurring self-initiated posts in a destination forum on one of the world’s most popular travel websites Tripadvisor, the present study identifies the key themes in forum posts generated by travelers worldwide about Hong Kong SAR, China (hereafter Hong Kong), one of the world’s most visited city. Incorporating both qualitative and quantitative methodological approaches, it examines the dominant discourses in the forum posts through a combined thematic and keyword corpus analysis. In addition, Bourdieu’s tripartite notion of capital is employed to provide insights into the main resources that travelers to Hong Kong associate with or ask about the city. Four dominant patterns of discourse, namely the discourse of mobility, pleasure seeking, convenience, and budget orientation, have been identified, suggesting that Hong Kong is constructed discursively through its built economic capital in the forum, with little regard for its cultural or social capital. Findings from the study not only provide a window into the qualities, attributes and identities of the city as perceived by the forum users, they also point to the underlying assumptions and expectations that users have about a place, and to the preferences and attitudes which shape the identity of the forum users themselves.

Journal of World LanguagesVol. 11(3)
Hong Kong Polytechnic University (HK)
Openalex Percentile: Top 84%
Digital Marketing and Social Media
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.