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The Use of Mixed-Reality Sport Platforms in Social Media Sentiment Analysis during COVID-19

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Perspectives in Business Informatics Research (BIR 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 462))

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Abstract

Sport and physical activity are very closely related to people’s health. The COVID-19 pandemic has made everyone aware of the importance of maintaining regular physical activity. The lockdowns and mandatory social distancing experienced during the epidemic underlined the importance of new sports platforms that bring traditional sports, such as cycling, to the virtual world. This work focuses on the ZWIFT cycling application as an exemplary mixed-reality sport platform. Sentiment analysis (or opinion mining) aims to explore the emotions behind the opinions expressed in texts on different topics. We used sentiment analysis of social media platforms (Twitter and Reddit) to provide valuable information on the culture surrounding mixed reality sports platforms.

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The data for this research are available in the public repository https://github.com/domoklac/mixed_reality_sport_research.

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Author information

Authors and Affiliations

  1. Corvinus University of Budapest, Fővám tér 13-15., Budapest, 1093, Hungary

    László Dömök & Szabina Fodor

Authors
  1. László Dömök
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  2. Szabina Fodor
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Correspondence to László Dömök .

Editor information

Editors and Affiliations

  1. Riga Technical University, Riga, Latvia

    Ērika Nazaruka

  2. Rostock University, Rostock, Germany

    Kurt Sandkuhl

  3. Jönköping University, Jönköping, Sweden

    Ulf Seigerroth

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Dömök, L., Fodor, S. (2022). The Use of Mixed-Reality Sport Platforms in Social Media Sentiment Analysis during COVID-19. In: Nazaruka, Ē., Sandkuhl, K., Seigerroth, U. (eds) Perspectives in Business Informatics Research. BIR 2022. Lecture Notes in Business Information Processing, vol 462. Springer, Cham. https://doi.org/10.1007/978-3-031-16947-2_12

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  • DOI: https://doi.org/10.1007/978-3-031-16947-2_12

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  • Online ISBN: 978-3-031-16947-2

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