Skip to main content

Influence of Virtual Tipping and Collection Rate in Social Live Streaming Services

  • Conference paper
  • First Online:
Complex Networks & Their Applications XII (COMPLEX NETWORKS 2023)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1144))

Included in the following conference series:

  • 841 Accesses

Abstract

Social live streaming services (SLSS) and other consumer-generated media (CGM) offer gamification to attract people. Virtual gifts/tips such as Twitch’s “bits” are examples of this and construct interactive relationships between live streamers and viewers. However, their impact on user behavior and how the collection rates from the platforms to collect a portion of the tips affect user behavior and the platform’s gained rewards have not been sufficiently analyzed. This study focuses on the fact that CGM including SLSS, is a type of public goods game, and we propose a model that considers tipping systems with collection by platforms. Using our agent-based simulated environment, we demonstrate that the effect of tipping on user behavior depends considerably on the preference for psychological or monetary rewards and on network positions, such as the number of degrees. We also show that appropriate collection rates maximize the platform’s rewards. We believe that our results contribute to the design and operation of SLSS platforms.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Axelrod, R.: An evolutionary approach to norms. American Political Sci. Rev. 80(4), 1095–1111 (1986)

    Article  Google Scholar 

  2. Bründl, S., Matt, C., Hess, T.: Consumer use of social live streaming services: The influence of co-experience and effectance on enjoyment. In: Proceedings of the 25th European Conference on Information Systems, pp. 1775–1791 (2017)

    Google Scholar 

  3. Chalakudi, S.N., Hussain, D., Bharathy, G., Kolluru, M.: Measuring social influence in online social networks - focus on human behavior analytics. In: Association of Marketing Theory and Practice Proceedings (2023)

    Google Scholar 

  4. Hilvert-Bruce, Z., Neill, J.T., Sjöblom, M., Hamari, J.: Social motivations of live-streaming viewer engagement on twitch. Comput. Human Behav. 84, 58–67 (2018)

    Article  Google Scholar 

  5. Hirahara, Yuki, Toriumi, Fujio, Sugawara, Toshiharu: Evolution of cooperation in SNS-norms game on complex networks and real social networks. In: Aiello, Luca Maria, McFarland, Daniel (eds.) SocInfo 2014. LNCS, vol. 8851, pp. 112–120. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-13734-6_8

    Chapter  Google Scholar 

  6. Lee, Y.C., Yen, C.H., Wang, D., Fu, W.T.: Understanding how digital gifting influences social interaction on live streams. In: Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, pp. 1–10 (2019)

    Google Scholar 

  7. Lim, J.S., Choe, M.J., Zhang, J., Noh, G.Y.: The role of wishful identification, emotional engagement, and parasocial relationships in repeated viewing of live-streaming games: a social cognitive theory perspective. Comput. Human Behav. 108, 106327 (2020)

    Article  Google Scholar 

  8. Miura, Y., Toriumi, F., Sugawara, T.: Modeling and analyzing users’ behavioral strategies with co-evolutionary process. Comput. Social Netw. 8(1), 1–20 (2021)

    Article  Google Scholar 

  9. Scheibe, K., Zimmer, F.: Game mechanics on social live streaming service websites. In: Proceedings of the 52nd Hawaii International Conference on System Sciences, pp. 1486–1495 (2019)

    Google Scholar 

  10. Sjöblom, M., Hamari, J.: Why do people watch others play video games? an empirical study on the motivations of twitch users. Comput. Hum. Behav. 75, 985–996 (2017)

    Article  Google Scholar 

  11. Toriumi, F., Yamamoto, H., Okada, I.: Why do people use social media? agent-based simulation and population dynamics analysis of the evolution of cooperation in social media. In: 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, vol. 2, pp. 43–50. IEEE (2012)

    Google Scholar 

  12. Ueki, S., Toriumi, F., Sugawara, T.: Effect of monetary reward on users’ individual strategies using co-evolutionary learning. arXiv:2306.00492 (2023)

  13. Usui, Y., Toriumi, F., Sugawara, T.: Impact of monetary rewards on users’ behavior in social media. In: The International Conference on Complex Networks and Their Applications, pp. 632–643. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-93409-5_52

  14. Usui, Y., Toriumi, F., Sugawara, T.: User behaviors in consumer-generated media under monetary reward schemes. J. Comput. Social Sci. 6, 1–21 (2022). https://doi.org/10.1007/s42001-022-00187-3

  15. Vázquez, A.: Growing network with local rules: preferential attachment, clustering hierarchy, and degree correlations. Phys. Rev. E 67(5), 056104 (2003)

    Article  Google Scholar 

  16. Xu, Y., Ye, Y., Liu, Y., et al.: Understanding virtual gifting in live streaming by the theory of planned behavior. Human Behav. Emerg. Technol. (2022)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shintaro Ueki .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ueki, S., Toriumi, F., Sugawara, T. (2024). Influence of Virtual Tipping and Collection Rate in Social Live Streaming Services. In: Cherifi, H., Rocha, L.M., Cherifi, C., Donduran, M. (eds) Complex Networks & Their Applications XII. COMPLEX NETWORKS 2023. Studies in Computational Intelligence, vol 1144. Springer, Cham. https://doi.org/10.1007/978-3-031-53503-1_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-53503-1_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-53502-4

  • Online ISBN: 978-3-031-53503-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics