Moderated Online Communities and User-Generated Content

32 Pages Posted: 19 Nov 2007 Last revised: 15 Mar 2009

See all articles by Jianqing Chen

Jianqing Chen

The University of Texas at Dallas, Jindal School of Management

Hong Xu

University of Texas at Austin - Department of Information, Risk, and Operations Management

Andrew B. Whinston

University of Texas at Austin - Department of Information, Risk and Operations Management

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Date Written: May 1, 2007

Abstract

Online communities provide a social sphere for people to share information and knowledge. While information sharing is becoming a ubiquitous online phenomenon, how to ensure information quality or induce quality content, however, remains a challenge due to the anonymity of commentators. This paper introduces moderation into reputation systems. We show that moderation directly impacts strategic commentators' incentive to generate useful information, and moderation is generally desirable to improve information quality. Interestingly, we find that when being moderated with different probabilities based on their reputations, commentators may display a pattern of reputation oscillation, in which they generate useful content to build up high reputation and then exploit their reputation. As a result, the expected performance from high-reputation commentators can be inferior to that from low-reputation ones (reversed reputation). We finally investigate the optimal moderation resource allocation, and conclude that the seemingly abnormal reversed reputation could arise as an optimal result.

Keywords: Moderation, reputation, online community, knowledge management

Suggested Citation

Chen, Jianqing and Xu, Hong and Whinston, Andrew B., Moderated Online Communities and User-Generated Content (May 1, 2007). Available at SSRN: https://ssrn.com/abstract=1017084 or http://dx.doi.org/10.2139/ssrn.1017084

Jianqing Chen (Contact Author)

The University of Texas at Dallas, Jindal School of Management ( email )

800 West Campbell Road
Richardson, TX 75080
United States

Hong Xu

University of Texas at Austin - Department of Information, Risk, and Operations Management ( email )

2317 Speedway
Austin, TX 78712
United States

Andrew B. Whinston

University of Texas at Austin - Department of Information, Risk and Operations Management ( email )

CBA 5.202
Austin, TX 78712
United States
512-471-8879 (Phone)

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