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<oai_dc:dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:title>#CoronavirusCruise: Impact and implications of the COVID-19 outbreaks on the perception of cruise tourism</dc:title>
<dc:creator>Muritala BA; Hernández-Lara AB; Sánchez-Rebull MV; Perera-Lluna A</dc:creator>
<dc:subject>Hospitality, Leisure, Sport & Tourism,Management,Tourism, Leisure and Hospitality Management</dc:subject>
<dc:subject>Social media</dc:subject>
<dc:subject>Sentiment analysis</dc:subject>
<dc:subject>Sarf</dc:subject>
<dc:subject>Risk perception</dc:subject>
<dc:subject>Information integration theory</dc:subject>
<dc:subject>Ewom</dc:subject>
<dc:subject>Crisis communication</dc:subject>
<dc:subject>Coronavirus</dc:subject>
<dc:subject>Big data</dc:subject>
<dc:subject>twitter sentiment</dc:subject>
<dc:subject>sentiment analysis</dc:subject>
<dc:subject>sarf</dc:subject>
<dc:subject>risk perception</dc:subject>
<dc:subject>public-opinion</dc:subject>
<dc:subject>information integration theory</dc:subject>
<dc:subject>future</dc:subject>
<dc:subject>ewom</dc:subject>
<dc:subject>crisis communication</dc:subject>
<dc:subject>big data</dc:subject>
<dc:subject>Tourism, leisure and hospitality management</dc:subject>
<dc:subject>Sociología</dc:subject>
<dc:subject>Management</dc:subject>
<dc:subject>Interdisciplinary research in the social sciences</dc:subject>
<dc:subject>Hospitality, leisure, sport & tourism</dc:subject>
<dc:subject>Ciencias sociales</dc:subject>
<dc:subject>Ciências ambientais</dc:subject>
<dc:subject>Business and management</dc:subject>
<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>
<dc:contributor>Universitat Rovira i Virgili</dc:contributor>
<dc:date>2022</dc:date>
<dc:type>Journal Publications</dc:type>
<dc:identifier>http://hdl.handle.net/20.500.11797/imarina:9245558?label=Repositori URV</dc:identifier>
<dc:source>Tourism Management Perspectives</dc:source>
<dc:source>10.1016/j.tmp.2022.100948</dc:source>
<dc:source>Tourism Management Perspectives. 41 100948-</dc:source>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
</oai_dc:dc>