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Who’s the Bigger Brand After COVID-19 Pandemic? An Assessment of Fan Engagement During Euro 2020

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The Role of Digital Technologies in Shaping the Post-Pandemic World (I3E 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13454))

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Abstract

Post COVID-19 pandemic, sports events and sports activities have been severely affected. The mega sports events were either postponed or held in the absence of live audience. Through this study we investigate the progressive use of social media by fans and other stakeholders to express their support to favorite sports teams, athletes, coaches, sports organizations, sponsors and more during COVID-19. UEFA Euro 2020 was conducted across 12 countries with an intent to show unity and bring normalcy in sports business during the third wave of COVID-19. Hashtag analysis and mention analysis have been performed to find sports teams, athletes or other stakeholders that were directly being discussed about by the fans. We also focused on tweet context annotations that provide entities as pairs of domain and entity collected from tweets’ text. Our results indicated that hashtags and mentions alone cannot substantially justify the popularity of any entity. Thus, from the point of view of identifying any athlete, team, organization or any sponsor as a brand, tweet context annotations can be valuable from the perspective of E-Branding, E-Marketing and E-Commerce.

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Correspondence to Prabhsimran Singh .

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Mehra, V., Singh, P., Dwivedi, Y.K., Singh, G., Sawhney, R.S. (2022). Who’s the Bigger Brand After COVID-19 Pandemic? An Assessment of Fan Engagement During Euro 2020. In: Papagiannidis, S., Alamanos, E., Gupta, S., Dwivedi, Y.K., Mäntymäki, M., Pappas, I.O. (eds) The Role of Digital Technologies in Shaping the Post-Pandemic World. I3E 2022. Lecture Notes in Computer Science, vol 13454. Springer, Cham. https://doi.org/10.1007/978-3-031-15342-6_30

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  • DOI: https://doi.org/10.1007/978-3-031-15342-6_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15341-9

  • Online ISBN: 978-3-031-15342-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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