The Role of User-Generated Content Data for Collaborative Learning: Identifying Tourism Hot Topics During the Pandemic

Referencias bibliográficas

• Ainin, S., Feizollah, A., Anuar, N. B., & Abdullah, N. A. (2020). Sentiment analyses of multilingual tweets on halal tourism. Tourism Management Perspectives, 34, 100658. https://doi.org/10.1016/j.tmp.2020.100658
• Alaei, A. R., Becken, S., & Stantic, B. (2017). Sentiment analysis in tourism: Capitalizing on big data. Journal of Travel Research, 58(2), 175–191. https://doi.org/10.1177/0047287517747753
• Barbagallo, D., Bruni, L., Francalanci, C., & Giacomazzi, P. (2012). An empirical study on the relationship between twitter sentiment and influence in the tourism domain. In M. Fuchs, F. Ricci, & L. Cantoni (Eds.), Information and communication technologies in tourism 2012 (pp. 506–516). Springer.
• Barbe, D., & Pennington-Gray, L. (2020). Social media and crisis communication in tourism and hospitality. In Z. Xiang, M. Fuchs, U. Gretzel, & W. Höpken (Eds.), Handbook of e-tourism. Springer. https://doi.org/10.1007/978-3-030-05324-6_130-1
• Blasco-Lopez, F., Recuero Virto, N., Aldas Manzano, J., & Cruz Delgado, D. (2019). Facebook’s power: Factors influencing followers’ visit intentions. Spanish Journal of Marketing – ESIC, 23(1), 95–117.
• Boluk, K., Cavaliere, C. T., & Higgins-Desbiolles, F. (2017). Critical thinking to realize sustainability in tourism systems: Reflecting on the 2030 sustainable development goals. Journal of Sustainable Tourism, 25(9), 1201–1204. https://doi.org/10.1080/09669582.2017.1333263
• Büschken, J., & Allenby, G. M. (2016). Sentence-based text analysis for customer reviews. Marketing Science, 35(6), 953–975. https://doi.org/10.1287/mksc.2016.0993
• Coombs, W. T. (2014). Ongoing crisis communication: Planning, managing, and responding (4th ed.). Sage.
• De Albuquerque, J. P., Herfort, B., Brenning, A., & Zipf, A. (2015). A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management. International Journal of Geographical Information Science, 29(4), 667–689. https://doi.org/10.1080/13658816.2014.996567
• Doyle, C., Sammon, D., & Neville, K. (2015). Building an evaluation framework for social media-enabled collaborative learning environments (SMECLEs). Journal of Decision Systems, 24(3), 298–317. https://doi.org/10.1080/12460125.2015.1054694
• Filep, S. J., & Laing, J. (2019). Trends and directions in tourism and positive psychology. Journal of Travel Research, 58(3), 343–354.
• Fu, Y., Hao, J.-X., Li, X. R., & Hsu, C. H. C. (2019). Predictive accuracy of sentiment analytics for tourism: A metalearning perspective on Chinese travel news. Journal of Travel Research, 58(4), 666–679. https://doi.org/10.1177/0047287518772361
• Gössling, S., Scott, D., & Hall, M. (2021). Pandemics, tourism and global change: A rapid assessment of COVID-19. Journal of Sustainable Tourism, 29(1), 1–20. https://doi.org/10.1080/09669582.2020.1758708
• Hall, M. C. (2019). Constructing sustainable tourism development: The 2030 agenda and the managerial ecology of sustainable tourism. Journal of Sustainable Tourism, 27(7), 1044–1060. https://doi.org/10.1080/09669582.2018.1560456
• Jeong, M., & Lee, S. A. (2017). Do customers care about types of hotel service recovery efforts? An example of consumer-generated review sites. Journal of Hospitality and Tourism Technology, 8(1), 5–18. https://doi.org/10.1108/JHTT-09-2016-0049
• Jia, S. (2018). Leisure motivation and satisfaction: A text mining of yoga centres, yoga consumers, and their interactions. Sustainability, 10, 44–58. https://doi.org/10.3390/su10124458
• 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. https://doi.org/10.1080/13683500.2021.1874312
• Jin, X., & Cheng, M. (2020). Communicating mega events on Twitter: Implications for destination marketing. Journal of Travel & Tourism Marketing, 37(6), 739–755. https://doi.org/10.1080/10548408.2020.1812466
• Jin, S. A., & Phua, J. (2014). Following celebrities’ tweets about brands: The impact of twitter-based electronic word-of-mouth on consumers’ source credibility perception, buying intention, and social identification with celebrities. Journal of Advertising, 43(2), 181–195. https://doi.org/10.1080/00913367.2013.827606
• Kim, K., Park, O., Yun, S., & Yun, H. (2017). What makes tourists feel negatively about tourism destinations? Application of hybrid text mining methodology to smart destination management. Technological Forecasting and Social Change, 123, 362–369. https://doi.org/10.1016/j.techfore.2017.01.001
• Kirilenko, A. P., Stepchenkova, S. O., Kim, H., & Li, X. (2017). Automated sentiment analysis in tourism: Comparison of approaches. Journal of Travel Research, 57(8), 1012–1025. https://doi.org/10.1177/0047287517729757
• Krippendorff, K. (2004). Measuring the reliability of qualitative text analysis data. Quality and Quantity, 38(6), 787–800. https://doi.org/10.1007/s11135-004-8107-7
• Lalicic, L., Huertas, A., Moreno, A., & Jabreel, M. (2020). Emotional brand communication on Facebook and Twitter: Are DMOs successful? Journal of Destination Marketing & Management, 16, 100350. https://doi.org/10.1016/j.jdmm.2019.03.004
• Liu, B., & Pennington-Gray, L. (2015). Bed bugs bite the hospitality industry? A framing analysis of bed bug news coverage. Tourism Management, 48, 33–42. https://doi.org/10.1016/j.tourman.2014.10.020
• Lu, W., & Stepchenkova, S. (2014). User-generated content as a research mode in tourism and hospitality applications: Topics, methods, and software. Journal of Hospitality Marketing & Management, 4(2), 119–154. https://doi.org/10.1080/19368623.2014.907758
• Lu, Y., & Zheng, Q. (2020). Twitter public sentiment dynamics on cruise tourism during the COVID-19 pandemic. Current Issues in Tourism. https://doi.org/10.1080/13683500.2020.1843607
• Luo, J., Huang, S., & Wang, R. (2020). A fine-grained sentiment analysis of online guest reviews of economy hotels in China. Journal of Hospitality Marketing & Management, 30(1), 71–95. https://doi.org/10.1080/19368623.2020.1772163
• Marine-Roig, E., & Anton Clavé, S. (2015). Tourism analytics with massive user-generated content: A case study of Barcelona. Journal of Destination Marketing and Management, 4(3), 162–172. https://doi.org/10.1016/j.jdmm.2015.06.004
• Middleton, V. T. C., Fyall, A., Morgan, M., & Ranchhod, A. (2009). Marketing in travel and tourism (4th ed.). Elsevier.
• Miller, M., Banerjee, T., Muppalla, R., Romine, W., & Sheth, A. (2017). What are people tweeting about Zika? An exploratory study concerning its symptoms, treatment, transmission, and prevention. JMIR Public Health and Surveillance, 3(2), e38. https://doi.org/10.2196/publichealth.7157
• Misiura, S. (2006). Heritage marketing. Elsevier.
• Newton-John, T. R. (2018). Qualitative data analysis in health psychology: Testing theoretical models using qualitative data. Sage Research Methods. https://doi.org/10.4135/9781526427700
• Paris, C. M., & Rubin, S. (2013). Backpacking, social media, and crises: A discussion of online social convergence. In L. Cantoni & Z. Xiang (Eds.), Information and communication technologies in tourism 2013 (pp. 207–217). Springer.
• Park, E., Kang, J., Choi, H., & Han, J. (2018). Understanding customers’ hotel revisiting behaviour: A sentiment analysis of online feedback reviews. Current Issues in Tourism, 1–7. https://doi.org/10.1080/13683500.2018.1549025
• Pennington-Gray, L., London, B., Cahyanto, I., & Klages, W. (2011). Expanding the tourism crisis management planning framework to include social media: Lessons from the Deepwater horizon oil spill 2010. International Journal of Tourism Anthropology, 1(3–4), 239–253.
• Saura, J. R., & Bennett, D. (2019). A three-stage methodological process of data text mining: A UGC business intelligence analysis. Symmetry, 11(4), 519. https://doi.org/10.3390/sym11040519
• Saura, J. R., Reyes-Menendez, A., & Bennett, D. R. (2019). How to extract meaningful Insights from UGC: A knowledge-based method applied to education. Applied Sciences, 9, 4603. https://doi.org/10.3390/app9214603
• Saura, J. R., Reyes-Menendez, A., & Thomas, S. (2020). Gaining a deeper understanding of nutrition using social networks and user-generated content. Internet Interventions, 100–312. https://doi.org/10.1016/j.invent.2020.100312
• Sigala, M. (2011). Social media and crisis management in tourism: Applications and implications for research. Information Technology & Tourism, 13, 269–283. https://doi.org/10.3727/109830512x13364362859812
• Sigala, M. (2020). Tourism and COVID-19: Impacts and implications for advancing and resetting industry and research. Journal of Business Research, 117, 312–321. https://doi.org/10.1016/j.jbusres.2020.06.015
• Sotiriadis, M. D., & van Zyl, C. (2013). Electronic word-of-mouth and online reviews in tourism services: The use of twitter by tourists. Electronic Commerce Research, 13(1), 103–124. https://doi.org/10.1007/s10660-013-9108-1
• Su, L., Stepchenkova, S., & Kirilenko, A. P. (2019). Online public response to a service failure incident: Implications for crisis communications. Tourism Management, 73, 1–12. https://doi.org/10.1016/j.tourman.2019.01.011
• Thelwall, M. (2019). Sentiment analysis for tourism. In M. Sigala, M.A. Thelwal & R. Rahimi (Eds.), Big data and innovation in tourism, travel, and hospitality (pp. 87–104). Springer.
• United Nations World Tourism Organization. (2015). Tourism and the sustainable development goals. UNWTO. https://doi.org/10.18111/9789284417254
• Westerman, D., Spence, P. R., & Van Der Heide, B. (2014). Social media as information source: Recency of updates and credibility of information. Journal of Computer-Mediated Communication, 19(2), 171–183. https://doi.org/10.1111/jcc4.12041
• Yin, J., Lampert, A., Cameron, M., Robinson, B., & Power, R. (2012). Using social media to enhance emergency situation awareness. IEEE Intelligent Systems, 27(6), 52–59. https://doi.org/10.1109/MIS.2012.6
• Yu, M., Li, Z., Yu, Z., He, J., & Zhou, J. (2020). Communication related health crisis on social media: A case of COVID-19 outbreak. Current Issues in Tourism. https://doi.org/10.1080/13683500.2020.1752632