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#CoronavirusCruise: Impact and implications of the COVID-19 outbreaks on the perception of cruise tourism

Identificadors del recurs

Hernández-Lara, A. [et al.]. #CoronavirusCruise: Impact and implications of the COVID-19 outbreaks on the perception of cruise tourism. "Tourism Management Perspectives", Febrer 2022, vol. 41, p. 100948:1-100948:15.

2211-9736

https://hdl.handle.net/2117/363286

10.1016/j.tmp.2022.100948

Procedència

(Universitat Politècnica de Catalunya. UPCommons - Recerca)

Fitxa

Títol:: #CoronavirusCruise: Impact and implications of the COVID-19 outbreaks on the perception of cruise tourism
Matèria:: Àrees temàtiques de la UPC::Ciències de la salut; COVID-19 (Disease); Cruise lines; Coronavirus; Crisis communication; Risk perception; Big datae; WOMSARF; Information integration theory; Sentiment analysis; COVID-19 (Malaltia); Creuers turístics
Descripció:: Early in the COVID-19 pandemic, the Diamond Princess became the center of the largest outbreak outside the original epicenter in China. This outbreak which left 712 passengers infected and 14 dead, followed by subsequent outbreaks affecting over one-third of the active ships in the cruise industry's global fleet, quickly became a crisis that captured public attention and dominated mainstream news and social media. This study investigates the perception of cruising during these outbreaks by analyzing the tweets on cruising using Natural Language Processing (NLP). The findings show a prevalent negative sentiment in most of the analyzed tweets, while the criticisms directed at the cruise industry were based on perceptions and stereotypes of the industry before the pandemic. The study provides insight into the concerns raised in these conversations and highlights the need for new business models outside the pre-pandemic mass-market model and to genuinely make cruising more environmentally friendly.; Peer Reviewed; Postprint (published version)
Idioma:: English
Relació:: https://pubmed.ncbi.nlm.nih.gov/35165650/
Autor/Productor:: Hernández Lara, Ana Beatriz; Abubakr Muritala, Babajide; Sanchez-Rebull, Maria Victoria; Perera Lluna, Alexandre
Altres col·laboradors/productors:: Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. B2SLab - Bioinformatics and Biomedical Signals Laboratory
Drets:: http://creativecommons.org/licenses/by-nc-nd/4.0/; Open Access; Attribution-NonCommercial-NoDerivatives 4.0 International
Data:: 2022-02
Tipus de recurs:: Article
Format:: application/pdf

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2. < dc:creator > Hernández Lara, Ana Beatriz </ dc:creator >
3. < dc:creator > Abubakr Muritala, Babajide </ dc:creator >
4. < dc:creator > Sanchez-Rebull, Maria Victoria </ dc:creator >
5. < dc:creator > Perera Lluna, Alexandre </ dc:creator >
6. < dc:contributor > Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial </ dc:contributor >
7. < dc:contributor > Universitat Politècnica de Catalunya. B2SLab - Bioinformatics and Biomedical Signals Laboratory </ dc:contributor >
8. < dc:subject > Àrees temàtiques de la UPC::Ciències de la salut </ dc:subject >
9. < dc:subject > COVID-19 (Disease) </ dc:subject >
10. < dc:subject > Cruise lines </ dc:subject >
11. < dc:subject > Coronavirus </ dc:subject >
12. < dc:subject > Crisis communication </ dc:subject >
13. < dc:subject > Risk perception </ dc:subject >
14. < dc:subject > Big datae </ dc:subject >
15. < dc:subject > WOMSARF </ dc:subject >
16. < dc:subject > Information integration theory </ dc:subject >
17. < dc:subject > Sentiment analysis </ dc:subject >
18. < dc:subject > COVID-19 (Malaltia) </ dc:subject >
19. < dc:subject > Creuers turístics </ dc:subject >
20. < dc:description > Early in the COVID-19 pandemic, the Diamond Princess became the center of the largest outbreak outside the original epicenter in China. This outbreak which left 712 passengers infected and 14 dead, followed by subsequent outbreaks affecting over one-third of the active ships in the cruise industry's global fleet, quickly became a crisis that captured public attention and dominated mainstream news and social media. This study investigates the perception of cruising during these outbreaks by analyzing the tweets on cruising using Natural Language Processing (NLP). The findings show a prevalent negative sentiment in most of the analyzed tweets, while the criticisms directed at the cruise industry were based on perceptions and stereotypes of the industry before the pandemic. The study provides insight into the concerns raised in these conversations and highlights the need for new business models outside the pre-pandemic mass-market model and to genuinely make cruising more environmentally friendly. </ dc:description >
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23. < dc:date > 2022-02 </ dc:date >
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