Tourist Sentiment in Bali Before and During COVID-19: A Spatial-Temporal and Thematic Analysis Using Twitter Data

Abstract The COVID-19 pandemic significantly disrupted global tourism, impacting visitor perceptions and destination reputations. To quantify the impacts for the Indonesian tourism centre Bali, this study examines 3.98 million georeferenced Twitter posts from 2019 to 2021, analysing temporal shifts, spatial distribution, and thematic associations across key tourism topics. Using a RoBERTa-based sentiment classification model, we identify variations between domestic and international tourists, revealing a dominant but fluctuating positive sentiment that declined among international visitors during the pandemic. At key phases of the crisis, tourist sentiment became more aligned, reflecting heightened uncertainty. Spatially, Kuta, Denpasar, and Ubud remained central hubs for both positive and negative sentiment, with persistent concerns regarding waste management and traffic congestion. Topic-based analysis highlighted strong positive sentiment toward ‘Attractions’ and ‘General’ tourism aspects, while ‘Accessibility’ and ‘Amenities’ received more criticism. Additionally, sentiment trends varied by nationality, with UK and US tourists expressing more negative sentiment, while Singaporean and Filipino visitors remained consistently positive. These insights offer valuable guidance for Bali’s post-pandemic recovery, emphasising sustainable tourism management, targeted marketing, and infrastructure improvements.

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Publication Details

Journal
Applied Spatial Analysis and Policy
Published
2026-05-08
DOI
https://doi.org/10.1007/s12061-026-09886-0
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Tourist Sentiment in Bali Before and During COVID-19: A Spatial-Temporal and Thematic Analysis Using Twitter Data

Victoria Houlden, Bernd Resch, Raidah Hanifah, Christina Zorenböhmer et al.
Applied Spatial Analysis and Policy
Diverse Aspects of Tourism Research
article

Tourist Sentiment in Bali Before and During COVID-19: A Spatial-Temporal and Thematic Analysis Using Twitter Data

Victoria Houlden, Bernd Resch, Raidah Hanifah, Christina Zorenböhmer, Dorian Arifi, Sebastian Schmidt, Nick Malleson, Alexis Comber
article en

Abstract

Abstract The COVID-19 pandemic significantly disrupted global tourism, impacting visitor perceptions and destination reputations. To quantify the impacts for the Indonesian tourism centre Bali, this study examines 3.98 million georeferenced Twitter posts from 2019 to 2021, analysing temporal shifts, spatial distribution, and thematic associations across key tourism topics. Using a RoBERTa-based sentiment classification model, we identify variations between domestic and international tourists, revealing a dominant but fluctuating positive sentiment that declined among international visitors during the pandemic. At key phases of the crisis, tourist sentiment became more aligned, reflecting heightened uncertainty. Spatially, Kuta, Denpasar, and Ubud remained central hubs for both positive and negative sentiment, with persistent concerns regarding waste management and traffic congestion. Topic-based analysis highlighted strong positive sentiment toward ‘Attractions’ and ‘General’ tourism aspects, while ‘Accessibility’ and ‘Amenities’ received more criticism. Additionally, sentiment trends varied by nationality, with UK and US tourists expressing more negative sentiment, while Singaporean and Filipino visitors remained consistently positive. These insights offer valuable guidance for Bali’s post-pandemic recovery, emphasising sustainable tourism management, targeted marketing, and infrastructure improvements.

Applied Spatial Analysis and PolicyVol. 19(2)
University of Leeds (GB), Austrian Research Institute for Artificial Intelligence (AT), University of Salzburg (AT), Harvard University Press (US), Sumatera Institute of Technology (ID)
University of Leeds, Lembaga Pengelola Dana Pendidikan
Decent work and economic growth
Openalex Percentile: Top 4%
Diverse Aspects of Tourism Research
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