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Analysing user-generated content in sports events through the lens of the Spain brand

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Abstract

This study explores the UGC of two international sports events related to a country to analyse: (1) the way that two international sports events-related UGC vary across different social media, (2) the types of UGC, and (3) the differences in the social media use in different countries. Using the word Spain and hashtags of XLI Marathon Valencia 2022 and Davis Cup 2022, 16,820 posts were obtained. Using frequencies, χ2 tests, sentiment analysis, and content analysis, results show (1) the prominent use of social media in both events, (2) different profiles between non-professionals and professionals, (3) predominant negative UGC in more professional content, and (4) the sentiment geolocation. Based on these results, it is possible to recommend considering the potential of each social network, analysing the profile of those who are active in the masses and trying to explain and transform those negative comments that can damage not only the image of the event but also of the country where it is held. Additionally, it is essential to underline the importance of rigorous and systematic social media study.

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References

  • Abeza, G., and J. Sanderson. 2022. Theory and social media in sport studies. International Journal of Sport Communication 15 (4): 284–292.

    Article  Google Scholar 

  • Achen, R.M., J. Kaczorowski, T. Horsmann, and A. Ketzler. 2020. Comparing organizational content and fan interaction on Twitter and Facebook in United States professional sport. Managing Sport and Leisure 25 (5): 358–375.

    Article  Google Scholar 

  • Aichner, T. 2019. Football clubs’ social media use and user engagement. Marketing Intelligence and Planning 37 (3): 242–257.

    Article  Google Scholar 

  • AlKhalifa, H.K., and A. Farello. 2021. The soft power of Arab women’s football: Changing perceptions and building legitimacy through social media. International Journal of Sport Policy and Politics 13 (2): 241–257.

    Article  Google Scholar 

  • Alsaleh, D.A., M.T. Elliott, F.Q. Fu, and R. Thakur. 2019. Cross-cultural differences in the adoption of social media. Journal of Research in Interactive Marketing 13 (1): 119–140.

    Article  Google Scholar 

  • Anuario de Estadísticas Deportivas. 2022. Turismo vinculado al deporte. Anuario de Estadísticas Deportivas. https://www.culturaydeporte.gob.es. Accessed 7 Dec 2022.

  • Byon, K.K., J.J. Zhang, and T.A. Baker. 2013. Impact of core and peripheral service quality on consumption behavior of professional team sport spectators as mediated by perceived value. European Sport Management Quarterly 13 (2): 232–263.

    Article  Google Scholar 

  • Chalip, L., B.C. Green, and B. Hill. 2003. Effects of sport event media on destination image and intention to visit. Journal of Sport Management 17 (3): 214–234.

    Article  Google Scholar 

  • Cham, T.H., J.H. Cheah, M.A. Memon, K.S. Fam, and J. László. 2022. Digitalization and its impact on contemporary marketing strategies and practices. Journal of Marketing Analytics 10 (2): 103–105.

    Article  Google Scholar 

  • Chan, J.Y.L., K.T. Bea, S.M.H. Leow, S.W. Phoong, and W.K. Cheng. 2023. State of the art: A review of sentiment analysis based on sequential transfer learning. Artificial Intelligence Review 56 (1): 749–780.

    Article  Google Scholar 

  • Cheung, S.Y., K. Roger, Y. Jennifer, and F.A.N. Jing. 2017. Destination image and sports tourists’ consumption patterns of major sports events. Journal of Multidisciplinary Research 9 (3): 5–15.

    Google Scholar 

  • Chiu, W., J.S. Bae, and D. Won. 2017. The experience of watching baseball games in Korea: An analysis of user-generated content on social media using Leximancer. Journal of Sport and Tourism 21 (1): 33–47.

    Article  Google Scholar 

  • Cinelli, M., G. Etta, M. Avalle, A. Quattrociocchi, N. Di Marco, C. Valensise, et al. 2022. Conspiracy theories and social media platforms. Current Opinion in Psychology 47: 101407.

    Article  PubMed  Google Scholar 

  • Damberg, S., Y. Liu, and C.M. Ringle. 2023. Does culture matter? Corporate reputation and sustainable satisfaction in the Chinese and German banking sector. Journal of Marketing Analytics. https://doi.org/10.1057/s41270-023-00259-x.

    Article  Google Scholar 

  • Davis, F.D. 1989. Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly 13 (3): 319–340.

    Article  Google Scholar 

  • Dubinsky, Y. 2022. Country image, cultural diplomacy, and sports during the COVID19 pandemic: Brand America and Super Bowl LV. Place Branding and Public Diplomacy. https://doi.org/10.1057/s41254-021-00257-9.

    Article  PubMed Central  Google Scholar 

  • Evans, M.B., M.A. Eys, and M.W. Bruner. 2012. Seeing the “we” in “me” sports: The need to consider individual sport team environments. Canadian Psychology 53 (4): 301.

    Article  Google Scholar 

  • Fan, W., and M.D. Gordon. 2014. The power of social media analytics. Communications of the ACM 57 (6): 74–81.

    Article  Google Scholar 

  • Ferreira, L.B., J.D.M.E. Giraldi, G.E.D.O. Santos, and C.J.C. Jabbour. 2022. Rio 2016 Olympic Games: Brand and the reciprocal effects of touristic destinations. Journal of Vacation Marketing 28 (3): 335–349.

    Article  Google Scholar 

  • Filo, K., D. Lock, and A. Karg. 2015. Sport and social media research: A review. Sport Management Review 18 (2): 166–181.

    Article  Google Scholar 

  • Gamallo, P. 2014. A Naive-Bayes strategy for sentiment analysis on English tweets—CITIUS, Univ. de Santiago de Compostela Citius. In Proceedings of the 8th international workshop on semantic evaluation (SemEval 2014), Dublin, Ireland, 2014, 171–175.

  • Geurin, A.N., and L.M. Burch. 2017. User-generated branding via social media: An examination of six running brands. Sport Management Review 20 (3): 273–284.

    Article  Google Scholar 

  • Greenfly. 2022. Social media in sports: Driving fan engagement. Greenfly. https://www.greenfly.com/blog/social-media-in-sports/. Accessed 1 March 2023.

  • Helsen, K., I. Derom, J. Corthouts, V.D. Bosscher, A. Willem, and J. Scheerder. 2022. Participatory sport events in times of COVID-19: Analysing the (virtual) sport behaviour of event participants. European Sport Management Quarterly 22 (1): 35–54.

    Article  Google Scholar 

  • Hou, L., L. Guan, Y. Zhou, A. Shen, W. Wang, A. Luo, et al. 2023. Staying, switching, and multiplatforming of user-generated content activities: A 12-year panel study. Internet Research 33 (4): 1372–1398.

    Article  Google Scholar 

  • Jansen, N., O. Hinz, C. Deusser, and T. Strufe. 2021. Is the buzz on? A buzz detection system for viral posts in social media. Journal of Interactive Marketing 56 (1): 1–17.

    Article  Google Scholar 

  • Jeong, Y., and S. Kim. 2020. A study of event quality, destination image, perceived value, tourist satisfaction, and destination loyalty among sport tourists. Asia-Pacific Journal of Marketing and Logistics 32 (4): 940–960.

    Article  MathSciNet  Google Scholar 

  • Kim, S.E., H.L. Kim, and S. Lee. 2021. How event information is trusted and shared on social media: A uses and gratification perspective. Journal of Travel and Tourism Marketing 38 (5): 444–460.

    Article  MathSciNet  Google Scholar 

  • Könecke, T., H. Schunk, T. Schappel, I. Hugaerts, F. Wagner, and E. Malchrowicz-Mośko. 2021. German marathon runners’ opinions on and willingness to pay for environmental sustainability. Sustainability 13 (18): 10337.

    Article  Google Scholar 

  • Krongyut, K. 2022. The international marathons branding creation model of Thailand. Doctoral Dissertation, The Graduate School of Tourism Management National Institute of Development Administration, Bangkok.

  • Le, M.T. 2023. Does brand love lead to brand addiction? Journal of Marketing Analytics 11 (1): 57–68.

    Article  Google Scholar 

  • Malik, A., A. Dhir, and M. Nieminen. 2016. Uses and gratifications of digital photo sharing on Facebook. Telematics and Informatics 33 (1): 129–138.

    Article  Google Scholar 

  • Mukhidinov, A., and S. Tillaev. 2022. Classification of sports games. International Journal of Research in Commerce, IT, Engineering and Social Sciences 16 (3): 51–54.

    Google Scholar 

  • Mutz, M., and M. Gerke. 2018. Major sporting events and national identification: The moderating effect of emotional involvement and the role of the media. Communication and Sport 6 (5): 605–626.

    Article  Google Scholar 

  • Naab, T.K., and A. Sehl. 2017. Studies of user-generated content: A systematic review. Journalism 18 (10): 1256–1273.

    Article  Google Scholar 

  • Nguyen, T.T.T., and S. Tong. 2023. The impact of user-generated content on intention to select a travel destination. Journal of Marketing Analytics 11 (3): 443–457.

    Article  MathSciNet  Google Scholar 

  • Orús, A. 2022. Contribución del sector turístico al PIB mundial 2013–2021. https://es.statista.com/estadisticas/640133. Accessed 7 Dec 2022.

  • Parent, M.M., and A. Ruetsch. 2020. Managing major sports events: Theory and practice. New York: Routledge.

    Book  Google Scholar 

  • Parikh, A.A., C. Behnke, B. Almanza, D. Nelson, and M. Vorvoreanu. 2017. Comparative content analysis of professional, semi-professional, and user-generated restaurant reviews. Journal of Foodservice Business Research 20 (5): 497–511.

    Article  Google Scholar 

  • Park, S., K. Park, J.Y. Park, and R.M. Back. 2021. Social Media Analytics in event marketing: Engaging marathon fans in Facebook communities. Event Management 25 (4): 329–345.

    Article  Google Scholar 

  • Preuss, H., and H.A. Solberg. 2013. Attracting major sporting events: The role of local residents. In The impact and evaluation of major sporting events, 85–106. New York: Routledge.

  • Rogers, E. 2003. Diffusion of innovations, 5th ed. New York: Free Press.

    Google Scholar 

  • Sheldon, P., P.A. Rauschnabel, M.G. Antony, and S. Car. 2017. A cross-cultural comparison of Croatian and American network sites: Exploring cultural difference in motives for Instagram use. Computers in Human Behavior 75: 643–651.

    Article  Google Scholar 

  • Shukla, A., and R. Mishra. 2015. Sentiment classification and analysis using modified K-means and Naïve Bayes algorithm. International Journal of Advanced Research in Computer Science and Software Engineering 5 (8).

  • Smith, A.N., E. Fischer, and C. Yongjian. 2012. How does brand-related user-generated content differ across YouTube, Facebook, and Twitter? Journal of Interactive Marketing 26 (2): 102–113.

    Article  Google Scholar 

  • Thelwall, M., K. Buckley, and G. Paltoglou. 2012. Sentiment strength detection for the social web. Journal of the American Society for Information Science and Technology 63 (1): 163–173.

    Article  Google Scholar 

  • Timoshenko, A., and J.R. Hauser. 2019. Identifying customer needs from user-generated content. Marketing Science 38 (1): 1–20.

    Article  Google Scholar 

  • Toutanvoa, K., and C.D. Manning. 2000. Enriching the knowledge sources used in a maximum entropy part-of-speech tagger. In 2000 Joint SIGDAT conference on empirical methods in natural language processing and very large corpora, Hong Kong, China, 2000, 63–70. Association for Computational Linguistics.

  • Toutanova, K., D. Klein, C.D. Manning, and Y. Singer. 2003. Feature-rich part-of-speech tagging with a cyclic dependency network. In Proceedings of the 2003 conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology—NAACL, 2003, 252–259.

  • Turner, M.S., and B.M. Pluim. 2007. Anyone for tennis? British Journal of Sports Medicine 41 (11): 701–702.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Van de Belt, T.H., S.A. Berben, M. Samsom, L.J. Engelen, and L. Schoonhoven. 2012. Use of social media by Western European hospitals: Longitudinal study. Journal of Medical Internet Research 14 (3): e1992.

    Google Scholar 

  • Wakefield, L.T., and G. Bennett. 2018. Sports fan experience: Electronic word-of-mouth in ephemeral social media. Sport Management Review 21 (2): 147–159.

    Article  Google Scholar 

  • Watkins, B. 2018. Sport teams, fans, and Twitter: The Influence of social media on relationships and branding. Lanham: Rowman and Littlefield.

    Google Scholar 

  • Webster, J.G., and J.J. Wakshlag. 1983. A theory of television program choice. Communication Research 10 (4): 430–446.

    Article  Google Scholar 

  • White, R., and M. Cheung. 2015. Communication of fantasy sports: A comparative study of user-generated content by professional and writers. IEEE Transactions on Professional Communication 58 (2): 192–207.

    Article  Google Scholar 

  • Yamagishi, K., Canayong, D., Domingo, M., Maneja, K. N., Montolo, A., and Siton, A. (2023). User-generated content on Gen Z tourist visit intention: a stimulus-organism-response approach. Journal of Hospitality and Tourism Insights.

  • Yu, Y., and X. Wang. 2015. World Cup 2014 in the Twitter World: A big data analysis of sentiments in US sports fans’ tweets. Computers in Human Behavior 48: 392–400.

    Article  Google Scholar 

  • Zeren, D., I. Erkan, and F. Acikgoz. 2022. Sport marketing and social media strategies: A literature review and research agenda. In Sport marketing in a global environment, 126–141. New York: Routledge.

  • Zuo, Y., M. Zhang, Y. Si, X. Wu, and Z. Ren. 2021. Prediction of health risk preventative behavior of marathon runners: A cross-sectional study. Risk Management and Healthcare Policy 14: 2929–2944.

    Article  PubMed  PubMed Central  Google Scholar 

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Funding

This paper has been financed by Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital (Regional Ministry of Innovation, Universities, Science and the Digital Society)—AICO 2022 CIAICO/2021/062: “El deporte en la construcción de marca país: el turista y el residente”.

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Correspondence to Inés Kuster.

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Kuster, I., Vila-Lopez, N., Mora, E. et al. Analysing user-generated content in sports events through the lens of the Spain brand. J Market Anal (2024). https://doi.org/10.1057/s41270-023-00286-8

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