Conteúdo gerado pelo utilizador (UGC) em atracções e destinos turísticos: revisão sistemática da literatura e perspectivas de gestão
DOI:
https://doi.org/10.25145/j.pasos.2025.23.036Palavras-chave:
Big data, Destination Management Organization (DMO), Tourism Management, PRISMA, Social MediaResumo
O conteúdo gerado pelo usuário (UGC) é uma das fontes de big data consideradas mais estratégicas para o turismo. Esta revisão sistemática objetiva conhecer o que tem sido proposto na literatura científica sobre o uso de UGC na gestão de atrações e destinos turísticos. Sob um protocolo PRISMA, foram revistos 158 artigos (Web of Science, Scopus, EBSCO Host) que ofereciam implicações práticas para a gestão da área com base na análise de dados UGC. Constatou-se uma produção científica crescente, difusa em termos de áreas de conhecimento e cobertura geográfica, desenvolvida em diferentes cenários e contextos de atracções e destinos, demonstrando versatilidade de aplicação. Identificámos oito temas: experiência, imagem, espaço, perceção, satisfação, narrativa, marca, procura. A UGC tem um grande potencial como fonte complementar de identificação de problemas. As perspectivas de aplicação abrangem cinco áreas de gestão de atracções e destinos: visitantes, recursos, produto/marketing, local, crise.
Downloads
##plugins.generic.pfl.publicationFactsTitle##
##plugins.generic.pfl.reviewerProfiles## Indisp.
##plugins.generic.pfl.authorStatements##
##plugins.generic.pfl.indexedIn##
-
##plugins.generic.pfl.indexedList##
- ##plugins.generic.pfl.editorAndBoard##
- ##plugins.generic.pfl.profiles##
- ##plugins.generic.pfl.academicSociety##
- PASOS. Revista de Turismo y Patrimonio Cultural
- ##plugins.generic.pfl.publisher##
- Instituto Universitario de Investigación Social y Turismo. Universidad de La Laguna (España) - Instituto Universitario da Maia ISMAI (Portugal)
##plugins.generic.pfl.informationFooter## 
##plugins.generic.pfl.maintainedByPKP##
Referências
Abrahams, Z., Hoogendoorn, G., & Fitchett, J. M.(2022). Glacier tourism and tourist reviews: an experiential engagement with the concept of “Last Chance Tourism.”Scandinavian Journal of Hospitality and Tourism, 22(1), 1–14.https://doi.org/10.1080/15022250.2021.1974545
Aggarwal, S., & Gour, A.(2020). Peeking inside the minds of tourists using a novel web analytics approach.Journal of Hospitality and Tourism Management, 45, 580–591.https://doi.org/10.1016/j.jhtm.2020.10.009
Agostino, D., Brambilla, M., Pavanetto, S., & Riva, P.(2021). The Contribution of Online Reviews for Quality Evaluation of Cultural Tourism Offers: The Experience of Italian Museums.Sustainability, 13(23).https://doi.org/10.3390/su132313340
Alabau-Montoya, J., & Ruiz-Molina, M.-E.(2020). Enhancing visitor experience with war heritage tourism through information and communication technologies: evidence from Spanish Civil War museums and sites.Journal of Heritage Tourism, 15(5), 500–510.https://doi.org/10.1080/1743873X.2019.1692853
Albayrak, T., Cengizci, A. D., Caber, M., & Nang Fong, L. H.(2021). Big data use in determining competitive position: The case of theme parks in Hong Kong.Journal of Destination Marketing & Management, 22.https://doi.org/10.1016/j.jdmm.2021.100668
Alexander, V. D., Blank, G., & Hale, S. A.(2018). TripAdvisor Reviews of London Museums: A New Approach to Understanding Visitors.Museum International, 70(1–2), 154–165.https://doi.org/10.1111/muse.12200
Alieva, D., Holgado, D., de Juan, S., Ruiz-Frau, A., Villasante, S., & Maya-Jariego, I.(2022). Assessing landscape features and ecosystem services of marine protected areas through photographs on social media: comparison of two archipelagos in Spain.Environment, Development and Sustainability, 24(7), 9623–9641.https://doi.org/10.1007/s10668-021-01841-y
Alrawadieh, Z., Dincer, M. Z., Istanbullu Dincer, F., & Mammadova, P.(2018). Understanding destination image from the perspective of Western travel bloggers: the case of Istanbul.International Journal of Culture, Tourism and Hospitality Research, 12(2), 198–212.https://doi.org/10.1108/IJCTHR-12-2017-0124
Antonio, N., Correia, M. B., & Ribeiro, F. P.(2020). Exploring User-Generated Content for Improving Destination Knowledge: The Case of Two World Heritage Cities.Sustainability, 12(22). https://doi.org/10.3390/su12229654
Arabadzhyan, A., Figini, P., & Vici, L.(2021). Measuring destination image: a novel approach based on visual data mining. A methodological proposal and an application to European islands.Journal of Destination Marketing & Management, 20.https://doi.org/10.1016/j.jdmm.2021.100611
Baka, V.(2016). The becoming of user-generated reviews: Looking at the past to understand the future of managing reputation in the travel sector.Tourism Management, 53, 148–162.https://doi.org/10.1016/j.tourman.2015.09.004
Baniya, R., Dogru-Dastan, H., & Thapa, B.(2021). Visitors’ experience at Angkor Wat, Cambodia: evidence from sentiment and topic analysis.Journal of Heritage Tourism, 16(6), 632–645.https://doi.org/10.1080/1743873X.2020.1833892
Basaraba, N.(2021). A bottom-up method for remixing narratives for virtual heritage experiences.Convergence: The International Journal of Research into New Media Technologies, 28(6).https://doi.org/10.1177/13548565211048968
Bassols Gardella, N., Ovalle Díaz, A. P., & Rodríguez Hernández, J. C.(2021). Preferencias de los turistas en hoteles y destinos: una aproximación desde el análisis de contenido y los árboles de decisión.Investigaciones Turísticas, 0(22), 121.https://doi.org/10.14198/INTURI2021.22.6
Bigi, A., Cassia, F., & Ugolini, M. M.(2022). Who killed food tourism? Unaware cannibalism in online conversations about traveling in Italy.British Food Journal, 124(2), 573–589.https://doi.org/10.1108/BFJ-04-2021-0401
Bigne, E., Fuentes-Medina, M. L., & Morini-Marrero, S.(2020). Memorable tourist experiences versus ordinary tourist experiences analysed through user-generated content.Journal of Hospitality and Tourism Management, 45, 309–318.https://doi.org/10.1016/j.jhtm.2020.08.019
Bigne, E., Ruiz, C., Cuenca, A., Perez, C., & Garcia, A.(2021). What drives the helpfulness of online reviews? A deep learning study of sentiment analysis, pictorial content and reviewer expertise for mature destinations.Journal of Destination Marketing and Management, 20.https://doi.org/10.1016/j.jdmm.2021.100570
Bornarel, F., Delacour, H., Liarte, S., & Virgili, S.(2021). Exploring travellers’ experiences when visiting Verdun battlefield: a TripAdvisor case study.Current Issues in Tourism, 24(6), 824–841.https://doi.org/10.1080/13683500.2020.1751593
Borrego, Á., & Comalat Navarra, M(2020). What users say about public libraries: an analysis of Google Maps reviews.Online Information Review, 45(1), 84–98.https://doi.org/10.1108/OIR-09-2019-0291
Bui, V., Alaei, A. R., Vu, H. Q., Li, G., & Law, R.(2022). Revisiting Tourism Destination Image: A Holistic Measurement Framework Using Big Data.Journal of Travel Research,61(6), 1287–1307. https://doi.org/10.1177/00472875211024749
Catahan, N., & Woodruffe-Burton, H.(2019). The view, brew and loo: perceptions of botanic gardens?Journal of Place Management and Development, 12(1), 20–38.https://doi.org/10.1108/JPMD-12-2017-0127
Celata, F., Capineri, C., & Romano, A.(2020). A room with a (re)view. Short-term rentals, digital reputation and the uneven spatiality of platform-mediated tourism.Geoforum,112, 129–138. https://doi.org/10.1016/j.geoforum.2020.04.007
Cerdeira, J. H. da L., & Fernandes, A.(2020). Estudo da imagem da região turística de Lisboa.RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação, 2020(40),89–111. https://doi.org/10.17013/risti.40.89-111
Cherapanukorn, V., & Sugunnasil, P.(2022). Tourist Attraction Satisfaction Factors from Online Reviews. A Case Study of Tourist Attractions in Thailand.Journal of Environmental Management and Tourism, 13(2), 379–390.https://doi.org/10.14505/JEMT.V13.2(58).08
Chiu, W., & Cho, H.(2021). Mapping aboriginal tourism experiences in Taiwan: A case of the Formosan Aboriginal Culture Village.Journal of Vacation Marketing, 27(1), 17–31.https://doi.org/10.1177/1356766720950345
Chiu, W., & Leng, H. K.(2017). Let’s go cycling: an analysis of tourists’ experience on online user-generated content.International Journal of Tourism Cities, 3(1), 30–42.https://doi.org/10.1108/IJTC-10-2016-0045
Clarke, H., & Hassanien, A.(2020). An evaluation of Toronto’s destination image through tourist generated content on Twitter.International Journal of Customer Relationship Marketing and Management, 11(2), 1–16.https://doi.org/10.4018/IJCRMM.2020040101
Corpas, N., & Castillo, A.(2019). Tourism 3.0 and archaeology: approaching tourists’ generated‑content of World Heritage sites.PASOS. Revista de Turismo y Patrimonio Cultural, 17, 39–52.https://doi.org/10.25145/j.pasos.2019.17.003
Cosentino, G., & Alikasifoglu, B.(2019). Políticas de la posverdad en el Próximo Oriente: los estudios de caso de Siria y Turquía.Artnodes, 2019(24), 91–100. https://doi.org/10.7238/a.v0i24.3284
Crouch, G. I., & Ritchie, J. R. B.(1999). Tourism, Competitiveness, and Societal Prosperity.Journal of Business Research, 44(3), 137–152. https://doi.org/10.1016/S0148-2963(97)00196-3
Cuomo, M. T., Tortora, D., Foroudi, P., Giordano, A., Festa, G., & Metallo, G.(2021). Digital transformation and tourist experience co-design: Big social data for planning cultural tourism.Technological Forecasting and Social Change, 162. https://doi.org/10.1016/j.techfore.2020.120345
Dong, X., & Lian, Y.(2021). A review of social media-based public opinion analyses: Challenges and recommendations.Technology in Society, 67. https://doi.org/10.1016/j.techsoc.2021.101724
Egresi, I.(2017). Tourists’ satisfaction with shopping experience based on reviews onTripAdvisor.Tourism, 65(3), 330–345. https://hrcak.srce.hr/186957
Egresi, I., & Prakash, T. G. S. L.(2019). What makes wildlife tourists happy and what disappoints them? Learning from reviews posted on tripadvisor.Geojournal of Tourism and Geosites, 24(1), 102–117. https://doi.org/10.30892/gtg.24109-346
Enrique Navarro Jurado.(2016). Técnicas e instrumentos de planificación territorial de áreas turísticas.In M. R. Simancas Cruz (Ed.), La planificación y gestión territorial del turismo (pp. 133–174). Editorial Síntesis Madrid. https://biblioteca.uazuay.edu.ec/buscar/item/85257
Farhadloo, M., Patterson, R. A., & Rolland, E.(2016). Modeling customer satisfaction from unstructured data using a Bayesian approach.Decision Support Systems, 90, 1–11.https://doi.org/10.1016/j.dss.2016.06.010
Fayzullaev, K., Cassel, S. H., & Brandt, D.(2021). Destination image in Uzbekistan – heritage of the Silk Road and nature experience as the core of an evolving Post Soviet identity.The Service Industries Journal, 41(7–8), 446–461.https://doi.org/10.1080/02642069.2018.1519551
Feng, J., Li, Y., & Wu, P.(2017). Conflicting Images of the Great Wall in Cultural Heritage Tourism.Critical Arts, 31(6), 109–127.https://doi.org/10.1080/02560046.2017.1405455
Fisher, D. M., Wood, S. A., Roh, Y. H., & Kim, C. K.(2019). The geographic spread and preferences of tourists revealed by user-generated information on jeju island, south korea.Land, 8(5), 73.https://doi.org/10.3390/LAND8050073
Fisher, D. M., Wood, S. A., White, E. M., Blahna, D. J., Lange, S., Weinberg, A., Tomco, M., & Lia, E.(2018). Recreational use in dispersed public lands measured using social media data and on-site counts.Journal of Environmental Management, 222, 465–474.https://doi.org/10.1016/j.jenvman.2018.05.045
Fronzetti Colladon, A., Guardabascio, B., & Innarella, R.(2019). Using social network and semantic analysis to analyze online travel forums and forecast tourism demand.Decision Support Systems, 123.https://doi.org/10.1016/j.dss.2019.113075
Garay Tamajón, L. A., & Morales Pérez, S.(2022). Narrativas de seducción: Airbnb y la construcción de las imágenes de los destinos turísticos.Cuadernos de Turismo, 49(49), 29–50.https://doi.org/10.6018/turismo.521781
Ghosh, S. S., & Chatterjee, S. K.(2022). A knowledge organization framework for influencing tourism-centered place-making.Journal of Documentation, 78(2), 157–176.https://doi.org/10.1108/JD-12-2020-0220
Guo, H., Liu, Z., & Jiao, Z.(2022). Research on Satisfaction Evaluation Based on Tourist Big Data.KSII Transactions on Internet and Information Systems, 16(1), 231–244.https://doi.org/10.3837/tiis.2022.01.013
Guo, Y., Sun, S., Schuckert, M., & Law, R.(2016). Online Feedback and Attraction Management: An Exploration of the Critical Factors in Effective Operations. Asia PacificJournal of Tourism Research, 21(8), 883–904.https://doi.org/10.1080/10941665.2015.1080740
Gursoy, D., Akova, O., & Atsız, O.(2022). Understanding the heritage experience: a content analysis of online reviews of World Heritage Sites in Istanbul.Journal of Tourism and Cultural Change, 20(3), 311–334.https://doi.org/10.1080/14766825.2021.1937193
Hänska-Ahy, M. T., & Shapour, R.(2013). WHO’S REPORTING THE PROTESTS?Journalism Studies, 14(1), 29–45.https://doi.org/10.1080/1461670X.2012.657908
Hartmann, M. C., Koblet, O., Baer, M. F., & Purves, R. S.(2022). Automated motif identification: Analysing Flickr images to identify popular viewpoints in Europe’s protected areas.Journal of Outdoor Recreation and Tourism, 37.https://doi.org/10.1016/j.jort.2021.100479
Heikinheimo, V., Minin, E. Di, Tenkanen, H., Hausmann, A., Erkkonen, J., & Toivonen, T.(2017). User-Generated Geographic Information for Visitor Monitoring in a National Park: A Comparison of Social Media Data and Visitor Survey.ISPRS International Journal of Geo-Information, 6(3), 85.https://doi.org/10.3390/ijgi6030085
Hernández, J. M., Kirilenko, A. P., & Stepchenkova, S.(2018). Network approach to tourist segmentation via user generated content. Annals of Tourism Research, 73, 35–47.https://doi.org/10.1016/j.annals.2018.09.002
Hlengwa, D. C.(2021). Placemaking and visitors’ reviews of the Golden Mile of Durban.Acta Commercii, 21(1). https://doi.org/10.4102/ac.v21i1.921
Hu, M., Li, H., Song, H., Li, X., & Law, R.(2022). Tourism demand forecasting using tourist-generated online review data.Tourism Management, 90. https://doi.org/10.1016/j.tourman.2022.104490
Hu, T., Marchiori, E., Kalbaska, N., & Cantoni, L.(2014). Online representation of Switzerland as a tourism destination: An exploratory research on a Chinese microblogging platform.Studies in Communication Sciences, 14(2), 136–143.https://doi.org/10.1016/j.scoms.2014.12.001
Huai, S., & Van de Voorde, T.(2022). Which environmental features contribute to positive and negative perceptions of urban parks? A cross-cultural comparison using online reviews and Natural Language Processing methods.Landscape and Urban Planning, 218. https://doi.org/10.1016/j.landurbplan.2021.104307
Huang, W., Zhu, S., & Yao, X.(2021). Destination Image Recognition And Emotion Analysis: Evidence From User-Generated Content Of Online Travel Communities.The Computer Journal, 64(3), 296–304.https://doi.org/10.1093/comjnl/bxaa064
Huang, Y., Li, Z., & Huang, Y.(2022). User Perception of Public Parks:A Pilot Study Integrating Spatial Social Media Data with Park Management in the City of Chicago. Land, 11(2). https://doi.org/10.3390/land11020211
Iglesias-Sánchez, P. P., Correia, M. B., Jambrino-Maldonado, C., & de las Heras-Pedrosa, C.(2020). Instagram as a Co-Creation Space for Tourist Destination Image-Building: Algarve and Costa del Sol Case Studies.Sustainability, 12(7). https://doi.org/10.3390/su12072793
Iordanova, E., & Stainton, H.(2019). Cognition, emotion and trust: A comparative analysis of Cambodia’s perceived and projected online image.Tourist Studies, 19(4), 496–519.https://doi.org/10.1177/1468797619837970
Ivars-Baidal, J. A., Celdrán-Bernabeu, M. A., Mazón, J.-N., & Perles-Ivars, Á. F.(2019). Smart destinations and the evolution of ICTs: a new scenario for destination management?Current Issues in Tourism, 22(13), 1581–1600.https://doi.org/10.1080/13683500.2017.1388771
Jang, H., & Park, M.(2020). Social media, media and urban transformation in the context of overtourism. International Journal of Tourism Cities, 6(1), 233–260.https://doi.org/10.1108/IJTC-08-2019-0145
Jiang, Q., Chan, C.-S., Eichelberger, S., Ma, H., & Pikkemaat, B.(2021). Sentiment analysis of online destination image of Hong Kong held by mainland Chinese tourists.Current Issues in Tourism, 24(17), 2501–2522.https://doi.org/10.1080/13683500.2021.1874312
Kádár, B., & Gede, M.(2021). Tourism flows in large-scale destination systems.Annals of Tourism Research, 87. https://doi.org/10.1016/j.annals.2020.103113
Kim, C. S., Bai, B. H., Kim, P. B., & Chon, K.(2018). Review of reviews: A systematic analysis of review papers in the hospitality and tourism literature.International Journal of Hospitality Management, 70, 49–58.https://doi.org/10.1016/j.ijhm.2017.10.023
Kim, H., Joun, H. J., Choe, Y., & Schroeder, A.(2019). How Can a Destination Better Manage Its Offering to Visitors? Observing Visitor Experiences via Online Reviews.Sustainability, 11(17). https://doi.org/10.3390/su11174660
Kim, K., Park, O., Barr, J., & Yun, H.(2019). Tourists’ shifting perceptions of UNESCO heritage sites: lessons from Jeju Island-South Korea.Tourism Review, 74(1), 20–29.https://doi.org/10.1108/TR-09-2017-0140
Kim, W., Kim, S.-B., & Park, E.(2021). Mapping Tourists’ Destination (Dis)Satisfaction Attributes with User-Generated Content.Sustainability, 13(22).https://doi.org/10.3390/su132212650
Kirilenko, A. P., Stepchenkova, S. O., & Dai, X.(2021). Automated topic modeling of tourist reviews: Does the Anna Karenina principle apply?Tourism Management, 83. https://doi.org/10.1016/j.tourman.2020.104241
Kirilenko, A. P., Stepchenkova, S. O., & Hernandez, J. M.(2019). Comparative clustering of destination attractions for different origin markets with network and spatial analyses of online reviews.Tourism Management, 72, 400–410.https://doi.org/10.1016/j.tourman.2019.01.001
Kirova, V.(2021). Value co-creation and value co-destruction through interactive technology in tourism: the case of ‘La Cité du Vin’ wine museum, Bordeaux, France.Current Issues in Tourism, 24(5), 637–650.https://doi.org/10.1080/13683500.2020.1732883
Kleshcheva, A.(2021). Perception of Dark Tourism: Automated Text Analysis of Users Comments a Case Study of the Chernobyl Exclusion Zone.Zeitschrift Für Tourismuswissenschaft, 13(2), 191–208.https://doi.org/10.1515/tw-2021-0014
Kolar, T.(2017). Conceptualising tourist experiences with new attractions: the case of escape rooms.International Journal of Contemporary Hospitality Management, 29(5), 1322–1339.https://doi.org/10.1108/IJCHM-12-2015-0687
Koufodontis, N. I., & Gaki, E.(2022). UNESCO urban world heritage sites: Tourists’ awareness in the era of social media.Cities, 127.https://doi.org/10.1016/j.cities.2022.103744
Kydros, D., & Vrana, V.(2021). A Twitter network analysis of European museums.Museum Management and Curatorship, 36(6), 569–589.https://doi.org/10.1080/09647775.2021.1894475
La, L., Xu, F., Ren, Q., Zhen, F., & Lobsang, T.(2022). Understanding Consumers’ Sentiment Expressions in Online Reviews: A Hybrid Approach.Journal of International Consumer Marketing, 34(4), 465–479.https://doi.org/10.1080/08961530.2021.1982807
Lau, C. K. H., Huang, J., Feng, S. Y. P., & Qiu, H.(2022). Profiling trusted information sources for Chinese tourists traveling to Pacific SIDS.Journal of Global Scholars of Marketing Science, 32(1), 77–96.https://doi.org/10.1080/21639159.2020.1808834
Le, T. H., Arcodia, C., Novais, M. A., & Kralj, A.(2019). What we know and do not know about authenticity in dining experiences: A systematic literature review.Tourism Management, 74, 258–275.https://doi.org/10.1016/j.tourman.2019.02.012
Leask, A.(2016). Visitor attraction management: A critical review of research 2009–2014.Tourism Management, 57, 334–361.https://doi.org/10.1016/j.tourman.2016.06.015
Lee, J., Benjamin, S., & Childs, M.(2022). Unpacking the Emotions behind TripAdvisor Travel Reviews: The Case Study of Gatlinburg, Tennessee.International Journal of Hospitality & Tourism Administration, 23(2), 347–364.https://doi.org/10.1080/15256480.2020.1746219
Lei, W. S. (Clara), Chen, Z., Zhou, X., & King, B.(2022). Organic destination imagery and social media: Mapping tourism dynamics across China’s Greater Bay Area cities.Journal of China Tourism Research, 1–24.https://doi.org/10.1080/19388160.2022.2047857
Li, H., Hu, M., & Li, G.(2020). Forecasting tourism demand with multisource big data.Annals of Tourism Research, 83.https://doi.org/10.1016/j.annals.2020.102912
Li, H., Zhang, L., & Hsu, C. H. C.(2023). Research on user-generated photos in tourism and hospitality: A systematic review and way forward.Tourism Management, 96, 104714.https://doi.org/10.1016/j.tourman.2022.104714
Li, J., Xu, L., Tang, L., Wang, S., & Li, L.(2018). Big data in tourism research: A literature review.Tourism Management, 68, 301–323.https://doi.org/10.1016/j.tourman.2018.03.009
Li, N., Tung, V., & Law, R.(2017). A fuzzy comprehensive evaluation algorithm for analyzing electronic word-of-mouth.Asia Pacific Journal of Tourism Research, 22(6), 592–603.https://doi.org/10.1080/10941665.2017.1308395
Li, X., Geng, S., & Liu, S.(2022). Social Network Analysis on Tourists’ Perceived Image of Tropical Forest Park: Implications for Niche Tourism.SAGE Open, 12(1).https://doi.org/10.1177/21582440211067243
Liu, M. T., Liu, Y., Mo, Z., & Ng, K. L.(2020). Using text mining to track changes in travel destination image: the case of Macau.Asia Pacific Journal of Marketing and Logistics, 33(2), 371–393.https://doi.org/10.1108/APJML-08-2019-0477
Liu, P., Xiao, X., Zhang, J., Wu, R., & Zhang, H.(2018). Spatial Configuration and Online Attention: A Space Syntax Perspective.Sustainability, 10(1), 221. https://doi.org/10.3390/su10010221
Liu, Tao, Zhang, Y., Zhang, H., & Yang, X.(2021). A Methodological Workflow for Deriving the Association of Tourist Destinations Based on Online Travel Reviews: A Case Study of Yunnan Province, China.Sustainability, 13(9).https://doi.org/10.3390/su13094720
Liu, Tianjian, Liu, S., & Rahman, I.(2022). International anime tourists’ experiences: a netnography of popular Japanese anime tourism destinations.Asia Pacific Journal of Tourism Research, 27(2), 135–156.https://doi.org/10.1080/10941665.2021.1998163
Longjit, C., & Pearce, D. G.(2013). Managing a mature coastal destination: Pattaya, Thailand.Journal of Destination Marketing & Management, 2(3), 165–175.https://doi.org/10.1016/j.jdmm.2013.05.002
Lozano-Monterrubio, N., & Huertas, A.(2020). The image of Barcelona in Online Travel Reviews during 2017 Catalan independence process.Communication & Society, 33(3), 33–49.https://doi.org/10.15581/003.33.3.33-49
Lu, W., & Stepchenkova, S.(2015). User-Generated Content as a Research Mode in Tourism and Hospitality Applications: Topics, Methods, and Software.Journal of Hospitality Marketing & Management, 24(2), 119–154.
Luo, J. M., Vu, H. Q., Li, G., & Law, R.(2020). Topic modelling for theme park online reviews: analysis of Disneyland.Journal of Travel & Tourism Marketing, 37(2), 272–285.https://doi.org/10.1080/10548408.2020.1740138
Luo, Y., Tong, T., Zhang, X., Yang, Z., & Li, L.(2021). Exploring destination image through online reviews: an augmented mining model using latent Dirichlet allocation combined with probabilistic hesitant fuzzy algorithm.Kybernetes.https://doi.org/10.1108/K-07-2021-0584
Lyu, J., Khan, A., Bibi, S., Chan, J. H., & Qi, X.(2022). Big data in action: An overview of big data studies in tourism and hospitality literature.Journal of Hospitality and Tourism Management, 51, 346–360.https://doi.org/10.1016/j.jhtm.2022.03.014
Ma, K., & Jiang, B.(2020). Voice of urban park visitors: exploring destination attributes influencing behavioural intentions through online review mining. Complex & Intelligent Systems, 1–13.https://doi.org/10.1007/s40747-020-00223-7
Mandić, A., & Kennell, J.(2021). Smart governance for heritage tourism destinations: Contextual factors and destination management organization perspectives.Tourism Management Perspectives, 39.https://doi.org/10.1016/j.tmp.2021.100862
Mariani, M., Baggio, R., Fuchs, M., & Höepken, W.(2018). Business intelligence and big data in hospitality and tourism: a systematic literature review.International Journal of Contemporary Hospitality Management, 30(12), 3514–3554.https://doi.org/10.1108/IJCHM-07-2017-0461
Marine-Roig, E., & Anton Clavé, S.(2015). Tourism analytics with massive user-generated content: A case study of Barcelona.Journal of Destination Marketing & Management, 4(3), 162–172.https://doi.org/10.1016/j.jdmm.2015.06.004
Marine-Roig, E., & Anton Clavé, S.(2016). Perceived image specialisation in multiscalar tourism destinations.Journal of Destination Marketing & Management, 5(3), 202–213.https://doi.org/10.1016/j.jdmm.2015.12.007
Marine-Roig, E., & Ferrer-Rosell, B.(2018). Measuring the gap between projected and perceived destination images of Catalonia using compositional analysis.Tourism Management, 68, 236–249.https://doi.org/10.1016/j.tourman.2018.03.020
Martí, P., García-Mayor, C., & Serrano-Estrada, L.(2021). Taking the urban tourist activity pulse through digital footprints.Current Issues in Tourism, 24(2), 157–176.https://doi.org/10.1080/13683500.2019.1706458
Martin-Fuentes, E., Nieto Ferrando, J., Marine-Roig, E., & Ferrer-Rosell, B.(2020). From Blockbuster to Neighbourhood Buster: The Effect of Films on Barcelona.Sustainability,12(6), 2290. https://doi.org/10.3390/su12062290
McCreary, A., Seekamp, E., Davenport, M., & Smith, J. W.(2020). Exploring qualitative applications of social media data for place-based assessments in destination planning.Current Issues in Tourism, 23(1), 82–98.https://doi.org/10.1080/13683500.2019.1571023
Meng, L., Liu, Y., Wang, Y., & Li, X.(2021). A big-data approach for investigating destination image gap in Sanya City: When will the online and the offline goes parted? RegionalSustainability, 2(1), 98–108.https://doi.org/10.1016/j.regsus.2021.02.001
Miah, S. J., Vu, H. Q., Gammack, J., & McGrath, M.(2017). A Big Data Analytics Method for Tourist Behaviour Analysis.Information & Management, 54(6), 771–785.https://doi.org/10.1016/j.im.2016.11.011
Mirzaalian, F., & Halpenny, E.(2019). Social media analytics in hospitality and tourism: A systematic literature review and future trends.Journal of Hospitality and Tourism Technology, 10(4), 764–790.https://doi.org/10.1108/JHTT-08-2018-0078
Mirzaalian, F., & Halpenny, E.(2021). Exploring destination loyalty: Application of social media analytics in a nature-based tourism setting.Journal of Destination Marketing and Management, 20.https://doi.org/10.1016/j.jdmm.2021.100598
Munawir, Koerniawan, M. D., & Dewancker, B. J.(2019). Visitor Perceptions and Effectiveness of Place Branding Strategies in Thematic Parks in Bandung City Using Text Mining Based on Google Maps User Reviews.Sustainability, 11(7), 2123.https://doi.org/10.3390/su11072123
Naab, T. K., & Sehl, A.(2017). Studies of user-generated content: A systematic review.Journalism, 18(10), 1256–1273.https://doi.org/10.1177/1464884916673557
Nilashi, M., Fallahpour, A., Wong, K. Y., & Ghabban, F.(2022). Customer satisfaction analysis and preference prediction in historic sites through electronic word of mouth.Neural Computing and Applications, 34(16), 13867–13881.https://doi.org/10.1007/s00521-022-07186-5
Nowacki, M.(2019). Unique elements of Polish city brands in online reviews.Turyzm/Tourism, 29(1), 63–70.https://doi.org/10.2478/tour-2019-0007
Nowacki, M., & Kowalczyk-Anioł, J.(2022). Experiencing islands: is sustainability reported in tourists’ online reviews?Journal of Ecotourism, 1–21.https://doi.org/10.1080/14724049.2022.2041648
Osmond, A. M., & Chen, T. (2016). Tourists’ Experiences of Recreation Spaces in Australia’s Wet Tropics.Tourism Review International, 20(2), 122–141.https://doi.org/10.3727/154427216X14724915340080
Oteros-Rozas, E., Martín-López, B., Fagerholm, N., Bieling, C., & Plieninger, T.(2018). Using social media photos to explore the relation between cultural ecosystem services and landscape features across five European sites.Ecological Indicators, 94, 74–86.https://doi.org/10.1016/j.ecolind.2017.02.009
Ouzzani, M., Hammady, H., Fedorowicz, Z., & Elmagarmid, A.(2016). Rayyan—a web and mobile app for systematic reviews.Systematic Reviews, 5(1), 210.https://doi.org/10.1186/s13643-016-0384-4
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D.(2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews.International Journal of Surgery, 88, 105906.https://doi.org/10.1016/j.ijsu.2021.105906
Pahlevan Sharif, S., Mura, P., & Wijesinghe, S. N. R.(2019). Systematic Reviews in Asia: Introducing the “PRISMA” Protocol to Tourism and Hospitality Scholars, 13–33.https://doi.org/10.1007/978-981-13-2463-5_2
Pantano, E., Priporas, C.-V., & Stylos, N.(2017). ‘You will like it!’ using open data to predict tourists’ response to a tourist attraction.Tourism Management, 60, 430–438.https://doi.org/10.1016/j.tourman.2016.12.020
Paraskevaidis, P., & Weidenfeld, A.(2019). Sign consumption and sign promotion in visitor attractions.International Journal of Contemporary Hospitality Management, 31(4), 1937–1955.https://doi.org/10.1108/IJCHM-07-2018-0543
Pasquinelli, C., Trunfio, M., Bellini, N., & Rossi, S.(2022). Reimagining urban destinations: Adaptive and transformative city brand attributes and values in the pandemic crisis.Cities, 124. https://doi.org/10.1016/j.cities.2022.103621
Paül i Agustí, D.(2018). Characterizing the location of tourist images in cities. Differences in user-generated images (Instagram), official tourist brochures and travel guides.Annals of Tourism Research, 73, 103–115.https://doi.org/10.1016/j.annals.2018.09.001
Paül i Agustí, D.(2019a). La escasa representación turística de los ámbitos no urbanos. Una comparación de fuentes impresas e imágenes de Instagram. PASOS. Revista de Turismo y Patrimonio Cultural, 17, 65–80.https://doi.org/10.25145/j.pasos.2019.17.005
Paül i Agustí, D.(2019b). La localización espacial de los atractivos turísticos de un área metropolitana: diferencias entre material turístico institucional, guías turísticas y contenidos generados por los usuarios. Documents d’Anàlisi Geogràfica, 65(2), 293.https://doi.org/10.5565/rev/dag.528
Paül i Agustí, D.(2021). Mapping gender in tourist behaviour based on instagram.Journal of Outdoor Recreation and Tourism, 35.https://doi.org/10.1016/j.jort.2021.100381
Pearce, D. G.(2016). Modelos de gestión de destinos: Síntesis y evaluación.Estudios y Perspectivas En Turismo, 25(1).
Peng, Y., Yin, P., & Matzler, K.(2022). Analysis of Destination Images in the Emerging Ski Market: The Case Study in the Host City of the 2022 Beijing Winter Olympic Games.Sustainability, 14(1), 555.https://doi.org/10.3390/su14010555
Perea-Medina, M. J., Navarro-Jurado, E., & Luque-Gil, A. M.(2018). Inteligencia territorial: Conceptualización y avance en el estado de la cuestión. Vínculos posibles con los destinos turísticos.Cuadernos de Turismo, 41, 535–554.https://doi.org/10.6018/turismo.41.327141
Pereira, T., Lima, F. B. C., & Leoti, A.(2022). Gestão e planejamento turístico de um patrimônio mundial da UNESCO: um estudo sobre as Ruínas da Missão Jesuítica de São Miguel das Missões, Brasil.PASOS. Revista de Turismo y Patrimonio Cultural, 20(2), 285–298.https://doi.org/10.25145/j.pasos.2022.20.021
Phucharoen, C., Jarumaneerat, T., & Sangkaew, N.(2022). Comparing shopping experiences in department stores and street markets: a big data analysis of TripAdvisor reviews.International Journal of Culture, Tourism, and Hospitality Research, 16(1), 259–275.https://doi.org/10.1108/IJCTHR-10-2020-0228
Pickering, C., Walden-Schreiner, C., Barros, A., & Rossi, S. D.(2020). Using social media images and text to examine how tourists view and value the highest mountain in Australia.Journal of Outdoor Recreation and Tourism, 29.https://doi.org/10.1016/j.jort.2019.100252
Plank, A.(2016). The hidden risk in user-generated content: An investigation of ski tourers’ revealed risk-taking behavior on an online outdoor sports platform. ]Tourism Management, 55, 289–296.https://doi.org/10.1016/j.tourman.2016.02.013
Prakash, S. L., Perera, P., Newsome, D., Kusuminda, T., & Walker, O.(2019). Reasons for visitor dissatisfaction with wildlife tourism experiences at highly visited national parks in Sri Lanka.Journal of Outdoor Recreation and Tourism, 25, 102–112.https://doi.org/10.1016/j.jort.2018.07.004
Qi, S., Wong, C. U. I., Chen, N., Rong, J., & Du, J.(2018). Profiling Macau cultural tourists by using user-generated content from online social media.Information Technology & Tourism, 20(1–4), 217–236.https://doi.org/10.1007/s40558-018-0120-0
Qiu, Q., & Zhang, M.(2021). Using Content Analysis to Probe the Cognitive Image of Intangible Cultural Heritage Tourism: An Exploration of Chinese Social Media.ISPRS International Journal of Geo-Information, 10(4).https://doi.org/10.3390/ijgi10040240
Ranfagni, S., Milanesi, M., & Guercini, S.(2022). An online research approach for a dual perspective analysis of brand associations in art museums.International Review on Public and Nonprofit Marketing, 1–19.https://doi.org/10.1007/s12208-022-00332-8
Ren, G., & Hong, T.(2017). Investigating Online Destination Images Using a Topic-Based Sentiment Analysis Approach.Sustainability, 9(10).https://doi.org/10.3390/su9101765
Ronck, C. L., & Price, W. R.(2019). Revealing “Salt City’s” Geological and Mining Heritage at Strataca.Great Plains Research, 29(2), 137–151.https://doi.org/10.1353/gpr.2019.0018
Sangkaew, N., & Zhu, H.(2022). Understanding Tourists’ Experiences at Local Markets in Phuket: An Analysis of TripAdvisor Reviews.Journal of Quality Assurance in Hospitality & Tourism, 23(1), 89–114.https://doi.org/10.1080/1528008X.2020.1848747
Schuckert, M., Liu, X., & Law, R.(2015). Hospitality and Tourism Online Reviews: Recent Trends and Future Directions.Journal of Travel & Tourism Marketing, 32(5), 608–621.https://doi.org/10.1080/10548408.2014.933154
Seyyedamiri, N., Pour, A. H., Zaeri, E., & Nazarian, A.(2022). Understanding destination brand love using machine learning and content analysis method.Current Issues in Tourism, 25(9), 1451–1466.https://doi.org/10.1080/13683500.2021.1924634
Shang, Z., Luo, J. M., & Kong, A.(2022). Topic Modelling for Ski Resorts: An Analysis of Experience Attributes and Seasonality.Sustainability, 14(6).https://doi.org/10.3390/su14063533
Shao, J., Ying, Q., Shu, S., Morrison, A. M., & Booth, E.(2019). Museum Tourism 2.0: Experiences and Satisfaction with Shopping at the National Gallery in London.Sustainability, 11(24), 7108.https://doi.org/10.3390/su11247108
Shin, S.-H., Yang, S.-B., Nam, K., & Koo, C.(2017). Conceptual foundations of a landmark personality scale based on a destination personality scale: Text mining of online reviews.Information Systems Frontiers, 19(4), 743–752.https://doi.org/10.1007/s10796-016-9725-z
Sidor, C., Kršák, B., Šebešová, A., & Kola, J.(2020). Examples of secondary online data for raising awareness about geo and mining heritage.Acta Montanistica Slovaca, 25.https://doi.org/10.46544/AMS.v25i1.11
Simeon, M. I., Buonincontri, P., Cinquegrani, F., & Martone, A.(2017). Exploring tourists’ cultural experiences in Naples through online reviews.Journal of Hospitality and Tourism Technology, 8(2), 220–238.https://doi.org/10.1108/JHTT-10-2016-0067
Skinner, H., Williams‐Burnett, N., & Fallon, J.(2022). Exploring reality television and social media as mediating factors between destination identity and destination image.International Journal of Tourism Research, 24(2), 270–281.https://doi.org/10.1002/jtr.2499
Skotis, A., & Livas, C.(2022). A data-driven analysis of experience in urban historic districts.Annals of Tourism Research Empirical Insights, 3(2), 100052.https://doi.org/10.1016/j.annale.2022.100052
Song, X., Mo, Z., Liu, M. T., Niu, B., & Huang, L.(2021). Cooperator or supporter: how can cross-boundary Macau–Zhuhai metropolis promote regional tourism together?Asia Pacific Journal of Marketing and Logistics, ahead-of-p.https://doi.org/10.1108/APJML-02-2021-0137
Spyrou, E., Korakakis, M., Charalampidis, V., Psallas, A., & Mylonas, P.(2017). A geo-clustering approach for the detection of areas-of-interest and their underlying semantics.Algorithms, 10(1), 35.https://doi.org/10.3390/a10010035
Stellacci, S., & Moro, S.(2022). Travellers’ perspectives on historic squares and railway stations in Italian heritage cities revealed through sentiment analysis.Journal of Urban Design, 1–25.https://doi.org/10.1080/13574809.2022.2097903
Su, M. M., Wall, G., Wu, B., Xu, H., Fu, X., & Deng, Y.(2021). Tourism place making through the bioluminescent “Blue Tears” of Pingtan Islands, China.Marine Policy, 133, 104744.https://doi.org/10.1016/j.marpol.2021.104744
Sued, G.(2018). Ciudades visibles: estética y temática de las representaciones urbanas en Instagram.DeSignis, 28, 155–166.https://doi.org/10.35659/designis.i28p155-166
Sun, Y., Shao, Y., & Chan, E. H. W.(2020). Co-visitation network in tourism-driven peri-urban area based on social media analytics: A case study in Shenzhen, China.Landscape and Urban Planning, 204.https://doi.org/10.1016/j.landurbplan.2020.103934
Taecharungroj, V.(2019). User-generated place brand identity: harnessing the power of content on social media platforms.Journal of Place Management and Development,12(1), 39–70. https://doi.org/10.1108/JPMD-11-2017-0117
Taecharungroj, V., & Mathayomchan, B.(2019). Analysing TripAdvisor reviews of tourist attractions in Phuket, Thailand.Tourism Management, 75, 550–568.https://doi.org/10.1016/j.tourman.2019.06.020
Taecharungroj, V., Warnaby, G., & Parker, C.(2021). Responding to the voice of the markets: an analysis of Tripadvisor reviews of UK retail markets.Journal of Place Management and Development, 14(2), 180–200.https://doi.org/10.1108/JPMD-02-2020-0016
Tang, S., Duan, Z., Chen, W., & Qiao, H.(2022). Research on post occupancy evaluation of Oze National Park in Japan based on online reviews.Journal of Asian Architecture and Building Engineering, 1–18.https://doi.org/10.1080/13467581.2022.2047981
Teles da Mota, V., & Pickering, C.(2021a). Assessing the popularity of urban beaches using metadata from social media images as a rapid tool for coastal management.Ocean & Coastal Management, 203. ttps://doi.org/10.1016/j.ocecoaman.2021.105519
Teles da Mota, V., & Pickering, C.(2021b). Geography of Discourse about a European Natural Park: Insights from a Multilingual Analysis of Tweets.Society & Natural Resources, 34(11), 1492–1509.https://doi.org/10.1080/08941920.2021.1971809
Teles da Mota, V., Pickering, C., & Chauvenet, A.(2022). Popularity of Australian beaches: Insights from social media images for coastal management.Ocean & Coastal Management, 217.https://doi.org/10.1016/j.ocecoaman.2021.106018
Tokarchuk, O., Barr, J. C., & Cozzio, C.(2022). How much is too much? Estimating tourism carrying capacity in urban context using sentiment analysis.Tourism Management, 91.https://doi.org/10.1016/j.tourman.2022.104522
Toral, S. L., Martínez-Torres, M. R., & Gonzalez-Rodriguez, M. R.(2018). Identification of the Unique Attributes of Tourist Destinations from Online Reviews.Journal of Travel Research, 57(7), 908–919.https://doi.org/10.1177/0047287517724918
Tseng, C., Wu, B., Morrison, A. M., Zhang, J., & Chen, Y.(2015). Travel blogs on China as a destination image formation agent: A qualitative analysis using Leximancer.Tourism Management, 46, 347–358.https://doi.org/10.1016/j.tourman.2014.07.012
Uchinaka, S., Yoganathan, V., & Osburg, V. S.(2019). Classifying residents’ roles as online place-ambassadors.Tourism Management, 71, 137–150.https://doi.org/10.1016/j.tourman.2018.10.008
Ukpabi, D. C., & Karjaluoto, H.(2018). What drives travelers’ adoption of user-generated content? A literature review.Tourism Management Perspectives, 28, 251–273.https://doi.org/10.1016/j.tmp.2018.03.006
UNWTO.(2019).International Tourism Highlights, 2019 Edition. In UNWTO World Tourism Organisation. World Tourism Organization (UNWTO).https://doi.org/10.18111/9789284421152
Vada, S., Prentice, C., Scott, N., & Hsiao, A.(2020). Positive psychology and tourist well-being: A systematic literature review.Tourism Management Perspectives, 33, 100631.https://doi.org/10.1016/j.tmp.2019.100631
Väisänen, T., Heikinheimo, V., Hiippala, T., & Toivonen, T.(2021). Exploring human–nature interactions in national parks with social media photographs and computer vision.Conservation Biology, 35(2), 424–436.https://doi.org/10.1111/cobi.13704
Van der Zee, E., & Bertocchi, D.(2018). Finding patterns in urban tourist behaviour: a social network analysis approach based on TripAdvisor reviews.Information Technology & Tourism, 20(1–4), 153–180.https://doi.org/10.1007/s40558-018-0128-5
Viñán-Ludeña, M. S., & de Campos, L. M.(2022). Analyzing tourist data on Twitter: a case study in the province of Granada at Spain.Journal of Hospitality and Tourism Insights, 5(2), 435–464.https://doi.org/10.1108/JHTI-11-2020-0209
Vu, H. Q., Luo, J. M., Ye, B. H., Li, G., & Law, R.(2018). Evaluating museum visitor experiences based on user-generated travel photos.Journal of Travel & Tourism Marketing, 35(4), 493–506.https://doi.org/10.1080/10548408.2017.1363684
Wang, L., Wang, G., Hou, X., Chen, Z., & Lu, K.(2022). Attractiveness index of national marine parks: A study on national marine parks in coastal areas of East China Sea.Open Geosciences, 14(1), 393–403.https://doi.org/10.1515/geo-2022-0364
Wang, R., Hao, J.-X., Law, R., & Wang, J.(2019). Examining destination images from travel blogs: a big data analytical approach using latent Dirichlet allocation.Asia Pacific Journal of Tourism Research, 24(11), 1092–1107.https://doi.org/10.1080/10941665.2019.1665558
Wang, S., Yu, Y., Chen, J., & Liu, J.(2022). Impact of climate change on cherry blossom viewing tourism: analysis and simulation based on Weibo proxy data.Current Issues in Tourism, 1–17.https://doi.org/10.1080/13683500.2022.2049711
Wartmann, F.M., Baer, M. F., Hegetschweiler, K. T., Fischer, C., Hunziker, M., & Purves, R. S.(2021). Assessing the potential of social media for estimating recreational use of urban and peri-urban forests.Urban Forestry & Urban Greening, 64.https://doi.org/10.1016/j.ufug.2021.127261
Wartmann, Flurina M., & Mackaness, W. A.(2020). Describing and mapping where people experience tranquillity. An exploration based on interviews and Flickr photographs.Landscape Research, 45(5), 662–681.https://doi.org/10.1080/01426397.2020.1749250
Wilk, V., Sadeque, S., & Soutar, G. N.(2021). Exploring online destination brand advocacy.Tourism Recreation Research, 1–19.https://doi.org/10.1080/02508281.2021.1992952
Wise, N., Polidoro, M., Hall, G., & Uvinha, R. R.(2019). User-generated insight of Rio’s Rocinha favela tour: Authentic attraction or vulnerable living environment?Local Economy: The Journal of the Local Economy Policy Unit, 34(7), 680–698.https://doi.org/10.1177/0269094219889881
Woyo, E., & Amadhila, E.(2018). Desert tourists experiences in Namibia: A Netnographic Approach.African Journal of Hospitality, Tourism and Leisure, 7(3), 1–13.
Xu, J., Yang, Y., & Jin, C.(2022). Tracking discrepancies between expected and actual flows of tourists in an urban destination: An application of user-generated data.Journal of Hospitality and Tourism Management, 52, 29–38.https://doi.org/10.1016/j.jhtm.2022.05.012
Yang, E. C. L., Khoo-Lattimore, C., & Arcodia, C.(2017). A systematic literature review of risk and gender research in tourism.Tourism Management, 58, 89–100.https://doi.org/10.1016/j.tourman.2016.10.011
Yang, Y., Duan, Y., Wang, X., Huang, Z., Xie, N., & Shen, H. T.(2019). Hierarchical Multi-Clue Modelling for POI Popularity Prediction with Heterogeneous Tourist Information.IEEE Transactions on Knowledge and Data Engineering, 31(4), 757–768.https://doi.org/10.1109/TKDE.2018.2842190
Yang, Y., Ruan, Q., Huang, S., Lan, T., & Wang, Y.(2021). Impact of the COVID-19 outbreak on tourists’ real-time on-site emotional experience in reopened tourism destinations.Journal of Hospitality and Tourism Management, 48, 390–394.https://doi.org/10.1016/j.jhtm.2021.07.014
Yu, Q., Pickering, S., Geng, R., & Yen, D. A.(2021). Thanks for the memories: Exploring city tourism experiences via social media reviews.Tourism Management Perspectives, 40, 100851.https://doi.org/10.1016/j.tmp.2021.100851
Zanibellato, F., Rosin, U., & Casarin, F.(2018). How the attributes of a museum experience influence electronic word-of-mouth valence: An analysis of online museum reviews.International Journal of Arts Management, 21(1), 76–90.
Zeng, B.(2017). Cultural Centre, Destination Cultural Offer and Visitor Satisfaction.Sustainability, 9(11).https://doi.org/10.3390/su9111984
Zhang, K., Chen, D., & Li, C.(2020). How are Tourists Different? - Reading Geo-tagged Photos through a Deep Learning Model.Journal of Quality Assurance in Hospitality & Tourism, 21(2), 234–243.https://doi.org/10.1080/1528008X.2019.1653243
Zhang, T., Li, B., & Hua, N.(2022). Chinese cultural theme parks: text mining and sentiment analysis.Journal of Tourism and Cultural Change, 20(1–2), 37–57.https://doi.org/10.1080/14766825.2021.1876077
Zhang, T., Li, B., Milman, A., & Hua, N.(2022). Assessing technology adoption practices in Chinese theme parks: text mining and sentiment analysis.Journal of Hospitality and Tourism Technology, 13(1), 195–213.https://doi.org/10.1108/JHTT-05-2020-0126
Zhuravskaya, E., Petrova, M., & Enikolopov, R.(2020). Political Effects of the Internet and Social Media.Annual Review of Economics, 12(1), 415–438.https://doi.org/10.1146/annurev-economics-081919-050239
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2024 Marcelo Chemin, Carlos Pereira da Silva , Sidney Vincent de Paul Vikou
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Confirmo que o trabalho é original (de minha/nossa autoria), e que não será submetido a outras revistas ou publicações até a resolução final do processo de revisão em PASOS, RTPC.
Autorizo a publicação do meu trabalho por PASOS, PSTN de acesso livre e aberto em qualquer dos formatos que considere oportuno, por tempo indeterminado e como colaboração não remunerada.
Da mesma forma, o(s) autor(es) entende(m) que o trabalho publicado pode ser vinculado ou depositado em qualquer servidor ou incluído em outras publicações (republicação), desde que o novo local e/ou a nova edição façam referência à publicação original e reconheçam a autoria e propriedade de direitos autorais das publicações PASOS RTPC.
Os autores entendem que uma verificação de plágio autoplágio será realizada, e o artigo poderá ser removido a qualquer momento do fluxo editorial.
