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Revealing Donation Dynamics in Social Live Video Streaming

Authors:

Siqi ShenAuthors Info & Claims

WWW '20: Companion Proceedings of the Web Conference 2020

Pages 30 - 31

https://doi.org/10.1145/3366424.3382682

Published: 20 April 2020 Publication History

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Abstract

Social live video streaming has become a global economic and social phenomenon with the rise of platforms like Facebook-Live, Youtube-Live, and Twitch. The phenomenon of user donation in these communities is rapidly emerging, towards which however we have very limited understandings. In this preliminary work, we reveal the dynamics of user donations based on a publicly available (anonymized) dataset with detailed information on over 2 million users and worth in total over 200 million US dollars. Among other results, we find that (i) both the donations received and the donations made are highly skewed, (ii) user donation is strongly correlated with the atmosphere (the volume and the sentiment of real-time user chats) and in the long run, the loss of broadcasters, and (iii) donors are loyal and very generous to their favorite broadcasters while in the mean time they also support others moderately. Our findings represent a first step towards understanding user donations which will shed lights on the donor retention problem and the design of social live video streaming services.

References

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A. Raman, G. Tyson, and N. Sastry. 2017. Facebook (A)Live? Are live social broadcasts really broadcasts?. In Proceeding of the 26th International World Wide Web Conference (WWW’17).

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D. Ray, J. Kosaian, K.V. Rashmi, and S. Seshan. 2019. Vantage: Optimizing video upload for time-shi ed viewing of social live streams. In Proceeding of ACM Special Interest Group on Data Communication (SIGCOMM’19).

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C. Zhang, J. Liu, and H. Wang. 2017. Cloud-Assisted Crowdsourced Livecast. ACM Transactions on Multimedia Computing, Communications, and Applications 13, 3 (July 2017).

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Puspitasari FTyson GHaq EHui PLee L(2023)Ghost Booking as a New Philanthropy ChannelProceedings of the 34th ACM Conference on Hypertext and Social Media10.1145/3603163.3609028(1-11)Online publication date: 4-Sep-2023
https://dl.acm.org/doi/10.1145/3603163.3609028
Lee SLee J(2023)“Ju. T’aime” My Idol, My Streamer: A Case Study on Fandom Experience as Audiences and Creators of VTuber ConcertIEEE Access10.1109/ACCESS.2023.325256311(31125-31142)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3252563
Jin RLiu XMurata T(2023)Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphsMachine Learning10.1007/s10994-023-06449-z113:4(2093-2127)Online publication date: 10-Nov-2023
https://doi.org/10.1007/s10994-023-06449-z

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Revealing Donation Dynamics in Social Live Video Streaming

Index terms have been assigned to the content through auto-classification.

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Published In

WWW '20: Companion Proceedings of the Web Conference 2020

April 2020

854 pages

ISBN:9781450370240

DOI:10.1145/3366424

Editors:
Amal El Fallah Seghrouchni
Sorbonne University, France
,
Gita Sukthankar
University of Central Florida, United States
,
Tie-Yan Liu
Microsoft Research Asia, China
,
Maarten van Steen
University of Twente, Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 20 April 2020

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WWW '20: The Web Conference 2020

April 20 - 24, 2020

Taipei, Taiwan

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Puspitasari FTyson GHaq EHui PLee L(2023)Ghost Booking as a New Philanthropy ChannelProceedings of the 34th ACM Conference on Hypertext and Social Media10.1145/3603163.3609028(1-11)Online publication date: 4-Sep-2023
https://dl.acm.org/doi/10.1145/3603163.3609028
Lee SLee J(2023)“Ju. T’aime” My Idol, My Streamer: A Case Study on Fandom Experience as Audiences and Creators of VTuber ConcertIEEE Access10.1109/ACCESS.2023.325256311(31125-31142)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3252563
Jin RLiu XMurata T(2023)Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphsMachine Learning10.1007/s10994-023-06449-z113:4(2093-2127)Online publication date: 10-Nov-2023
https://doi.org/10.1007/s10994-023-06449-z

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Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization

User Donations in Online Social Game Streaming: The Case of Paid Subscription in Twitch.tv

User Donations in a User Generated Video System

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