Content contribution for revenue sharing and reputation in social media: A dynamic structural model

Qian Tang, Bin Gu, Andrew Whinston

Research output: Contribution to journalArticlepeer-review

111 Scopus citations

Abstract

This study examines the incentives for content contribution in social media. We propose that exposure and reputation are the major incentives for contributors. Besides, as more and more social media Web sites offer advertising-revenue sharing with some of their contributors, shared revenue provides an extra incentive for contributors who have joined revenue-sharing programs. We develop a dynamic structural model to identify a contributor's underlying utility function from observed contribution behavior. We recognize the dynamic nature of the content-contribution decision-that contributors are forward-looking, anticipating how their decisions affect future rewards. Using data collected from YouTube, we show that content contribution is driven by a contributor's desire for exposure, revenue sharing, and reputation and that the contributor makes decisions dynamically.

Original languageEnglish (US)
Pages (from-to)41-76
Number of pages36
JournalJournal of Management Information Systems
Volume29
Issue number2
DOIs
StatePublished - Oct 1 2012

Keywords

  • Content contribution
  • Contribution motivation
  • Dynamic structural model
  • Reputation
  • Revenue sharing
  • Social media
  • YouTube

ASJC Scopus subject areas

  • Management Information Systems
  • Computer Science Applications
  • Management Science and Operations Research
  • Information Systems and Management

Fingerprint

Dive into the research topics of 'Content contribution for revenue sharing and reputation in social media: A dynamic structural model'. Together they form a unique fingerprint.

Cite this