Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

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Incentive Based on Video Quality Impacts on Revenue, Video Quantity and Average Video Quality

Authors
Mengyang Li1, *
1Department of Animation and Digital Art, Communication University of China, Beijing, China
*Corresponding author. Email: mylee1997@163.com
Corresponding Author
Mengyang Li
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_74How to use a DOI?
Keywords
platform incentive; user generated video; revenue optimization; content quality
Abstract

Online video websites attract more and more users to make and upload their video and earn revenue through huge traffic. This digital economy requires platform making strategy to encourage user generated content. In this paper, we build a theoretical model to optimize the revenue of video sharing platform when platform offers incentive to video-maker according to the quality of their video. Through numerical analysis, we identify that proper incentive could encourage more users to generate video and increase overall video quantity which promotes platform revenue. On the other hand, incentive for video quality, no matter how much it is, could decline average video quality itself. Nevertheless, as the quantity of video increases, video-watchers could still get satisfied and platform could gain more revenue. The findings could guide online video sharing platform to set a proper incentive schemes to promote video uploaders for a better revenue.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
978-94-6463-108-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_74How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mengyang Li
PY  - 2022
DA  - 2022/12/30
TI  - Incentive Based on Video Quality Impacts on Revenue, Video Quantity and Average Video Quality
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 663
EP  - 673
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_74
DO  - 10.2991/978-94-6463-108-1_74
ID  - Li2022
ER  -