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      Topics and destinations in comments on YouTube tourism videos during the Covid-19 pandemic

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          Abstract

          This study examines the comments posted on tourism-related YouTube videos during the Covid-19 pandemic to establish sustainable development strategies in destinations. Its objectives were: (i) to identify the topics of discussion, (ii) to establish the perceptions of tourism in a pandemic crisis, and (iii) to identify the destinations mentioned. The data was collected between January and May 2020. 39,225 comments were extracted in different languages and globally through the YouTube API. The data processing was carried out using the word association technique. The results show that the most discussed topics were: “people,” “country,” “tourist,” “place,” “tourism,” “see,” “visit,” “travel,” “covid-19,” “life,” and “live,” which are the focus of the comments made on the perceptions found and represent the attraction factors shown by the videos and the emotions perceived in the comments. The findings show that users’ perceptions are related to risks since the “Covid-19” pandemic is associated with the impact on tourism, people, destinations, and affected countries. The destinations in the comments were: India, Nepal, China, Kerala, France, Thailand, and Europe. The research has theoretical implications concerning tourists’ perceptions of destinations since new perceptions associated with destinations during the pandemic are shown. Such concerns involve tourist safety and work at the destinations. This research has practical implications since, during the pandemic, companies can develop prevention plans. Also, governments could implement sustainable development plans that contain measures so that tourists can make their trips during a pandemic.

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          Most cited references74

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: ResourcesRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2 March 2023
                2023
                2 March 2023
                : 18
                : 3
                : e0281100
                Affiliations
                [1 ] Facultad de Economía y Empresa, Universidad Católica de Santiago de Guayaquil, Guayaquil, Ecuador
                [2 ] Universidad Espíritu Santo, Samborondón, Ecuador
                [3 ] Facultad de Ciencias Sociales y Humanísticas, Escuela Superior Politécnica del Litoral, ESPOL, Guayaquil, Ecuador
                King Saud University, SAUDI ARABIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-5420-1092
                Article
                PONE-D-22-07440
                10.1371/journal.pone.0281100
                9980761
                36862677
                49b3d96f-c742-40dc-a878-5b9345ca1ae9
                © 2023 Carvache-Franco et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 12 March 2022
                : 15 January 2023
                Page count
                Figures: 1, Tables: 3, Pages: 16
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Epidemiology
                Pandemics
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Viral Diseases
                Covid 19
                Social Sciences
                Sociology
                Communications
                Medicine and Health Sciences
                Epidemiology
                Medical Risk Factors
                Social Sciences
                Sociology
                Communications
                Social Communication
                Social Media
                Computer and Information Sciences
                Network Analysis
                Social Networks
                Social Media
                Social Sciences
                Sociology
                Social Networks
                Social Media
                Computer and Information Sciences
                Network Analysis
                Social Networks
                Social Sciences
                Sociology
                Social Networks
                Biology and Life Sciences
                Psychology
                Psychometrics
                Social Sciences
                Psychology
                Psychometrics
                Biology and Life Sciences
                Psychology
                Emotions
                Social Sciences
                Psychology
                Emotions
                Custom metadata
                The data were collected through the YouTube API using Mozdeh big data text analysis software ( http://mozdeh.wlv.ac.uk/). The book "Social Web Text Analytics with Mozdeh" ( http://mozdeh.wlv.ac.uk/resources/SocialWebResearchWithMozdeh.pdf), the Youtube Data API v3 key ( https://developers.google.com/youtube/v3/docs and http://lexiurl.wlv.ac.uk/searcher/YouTubeKeyRegister.html), and the video "Social Media Data Analysis 5: Gathering and analysing YouTube comments with Mozdeh" by Mike Thelwall ( https://www.youtube.com/watch?v=jvpJQXvI-XA) contain the full information on how to extract and analyze YouTube data with the software. The keyword used for queries in data collection was "tourism" in the title of the video or in the description of the video (videos with titles or descriptions matching queries). The comments of the YouTube videos were obtained from January to May 2020.
                COVID-19

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