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Online Communication of eSports Viewers: Topic Modeling Approach

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Book cover Advances in Computer Entertainment Technology (ACE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10714))

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Abstract

This paper represents a brief overview of the communication of eSports viewers during the broadcasts of Dota 2 tournaments on the streaming platform Twitch.tv. We employed a topic modelling algorithm Twitter-LDA to analyse the contents of chat messages. We found that different stages of the stream can trigger different ways of behaviour depending on the type of the content. Game sessions more often had short emotional expressions, while breaks and moments of game inactivity included more analytical discussions and sociability.

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Notes

  1. 1.

    chatty.github.io/.

References

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Acknowledgements

The article was prepared within the framework of the Academic Fund Program at the National Research University Higher School of Economics (HSE) in 2017–2018 (grant No. 17-05-0024) and by the Russian Academic Excellence Project 5–100.

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Authors and Affiliations

  1. National Research University Higher School of Economics, St. Petersburg, Russia

    Ksenia Konstantinova, Denis Bulygin & Ilya Musabirov

  2. Uppsala University, Uppsala, Sweden

    Paul Okopny

Authors
  1. Ksenia Konstantinova
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  2. Denis Bulygin
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  3. Paul Okopny
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  4. Ilya Musabirov
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Corresponding author

Correspondence to Ilya Musabirov .

Editor information

Editors and Affiliations

  1. City, University of London, London, United Kingdom

    Adrian David Cheok

  2. University of Tokyo, Tokyo, Japan

    Masahiko Inami

  3. NOVA University of Lisbon, Lisbon, Portugal

    Teresa Romão

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Konstantinova, K., Bulygin, D., Okopny, P., Musabirov, I. (2018). Online Communication of eSports Viewers: Topic Modeling Approach. In: Cheok, A., Inami, M., Romão, T. (eds) Advances in Computer Entertainment Technology. ACE 2017. Lecture Notes in Computer Science(), vol 10714. Springer, Cham. https://doi.org/10.1007/978-3-319-76270-8_42

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  • DOI: https://doi.org/10.1007/978-3-319-76270-8_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76269-2

  • Online ISBN: 978-3-319-76270-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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