Fair Tourism Trends and Online Discourse in the Post-Pandemic Transition: A Semantic Network Analysis

This original empirical study examines how online discourse on fair tourism in Korea was structured and transformed during the post-pandemic tourism transition. Using unstructured online text data collected from Korean digital platforms, the study compares two periods: the pandemic continuation and early tourism recovery period (1 June 2020–31 May 2023) and the post-endemic tourism restructuring period (1 June 2023–31 May 2026). Fair tourism is conceptualized as a practical and policy-oriented discourse that connects local participation, benefit distribution, market fairness, destination governance, and tourism justice, rather than as a simple synonym for sustainable or responsible tourism. After text cleaning, morphological analysis, and keyword refinement, the top 50 core keywords for each period were analyzed using frequency analysis, degree and closeness centrality analysis, semantic network visualization, and CONCOR analysis. The results show that first-period discourse centered on regions, public policy, support projects, fair ecotourism, the social economy, resident participation, and local recovery. In contrast, second-period discourse was more strongly associated with foreign tourists, international tourism recovery, accommodation and service use, price fairness, overcharging and unfairness controversies, and sustainable destination governance. This study extends fair tourism research by revealing how fair tourism is constructed and rearticulated through digitally mediated public discourse.

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Publication Details

Journal
Tourism and Hospitality
Published
2026-07-23
DOI
https://doi.org/10.3390/tourhosp7080213
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Fair Tourism Trends and Online Discourse in the Post-Pandemic Transition: A Semantic Network Analysis

Jang-Heon Han, Kabsoo An
Tourism and Hospitality
Diverse Aspects of Tourism Research
article

Fair Tourism Trends and Online Discourse in the Post-Pandemic Transition: A Semantic Network Analysis

Jang-Heon Han, Kabsoo An
article en

Abstract

This original empirical study examines how online discourse on fair tourism in Korea was structured and transformed during the post-pandemic tourism transition. Using unstructured online text data collected from Korean digital platforms, the study compares two periods: the pandemic continuation and early tourism recovery period (1 June 2020–31 May 2023) and the post-endemic tourism restructuring period (1 June 2023–31 May 2026). Fair tourism is conceptualized as a practical and policy-oriented discourse that connects local participation, benefit distribution, market fairness, destination governance, and tourism justice, rather than as a simple synonym for sustainable or responsible tourism. After text cleaning, morphological analysis, and keyword refinement, the top 50 core keywords for each period were analyzed using frequency analysis, degree and closeness centrality analysis, semantic network visualization, and CONCOR analysis. The results show that first-period discourse centered on regions, public policy, support projects, fair ecotourism, the social economy, resident participation, and local recovery. In contrast, second-period discourse was more strongly associated with foreign tourists, international tourism recovery, accommodation and service use, price fairness, overcharging and unfairness controversies, and sustainable destination governance. This study extends fair tourism research by revealing how fair tourism is constructed and rearticulated through digitally mediated public discourse.

Tourism and HospitalityVol. 7(8)
Yong In University (KR), Hanseo University (KR)
Hanseo University
Decent work and economic growth
Openalex Percentile: Top 4%
Diverse Aspects of Tourism Research
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Fair Tourism Trends and Online Discourse in the Post-Pandemic Transition: A Semantic Network Analysis — Jang-Heon Han, Kabsoo An · Tourism and Hospitality (2026) | TGRS Research Map | TGRS