Content contribution under revenue sharing and reputation concern in social media: The case of YouTube

Qian Tang, Bin Gu, Andrew Whinston

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A key feature of social media is that it allows individuals and businesses to contribute contents for public viewing. However, little is known about how content providers derive payoffs from such activities. In this study, we build a dynamic structural model to recover the utility function for content providers. Our model distinguishes short-term payoffs based on ad revenue sharing from long-term payoffs driven by content providers' reputation. The model was estimated using a panel data of 914 top 1000 providers and 381 randomly selected providers on YouTube from Jun 7th, 2010, to Aug 7th, 2011. The two different sets of providers allow us to explore the difference between top and ordinary providers. Our results demonstrate that both providers value incremental subscribers as much as incremental video views. We also find that top providers value accumulative subscribers more than accumulative video views, while ordinary providers value accumulative video views more.

Original languageEnglish (US)
Title of host publicationInternational Conference on Information Systems 2011, ICIS 2011
Pages799-814
Number of pages16
StatePublished - Dec 1 2011
Event32nd International Conference on Information System 2011, ICIS 2011 - Shanghai, China
Duration: Dec 4 2011Dec 7 2011

Publication series

NameInternational Conference on Information Systems 2011, ICIS 2011
Volume1

Other

Other32nd International Conference on Information System 2011, ICIS 2011
Country/TerritoryChina
CityShanghai
Period12/4/1112/7/11

Keywords

  • Dynamic model
  • Reputation
  • Revenue sharing
  • Social media
  • YouTube

ASJC Scopus subject areas

  • Information Systems

Fingerprint

Dive into the research topics of 'Content contribution under revenue sharing and reputation concern in social media: The case of YouTube'. Together they form a unique fingerprint.

Cite this