Running Weblogs with Slash
Slash(dot) and burn: distributed moderation in a large online conversation space
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reputation Mechanism Design in Online Trading Environments with Pure Moral Hazard
Information Systems Research
Promotional Chat on the Internet
Marketing Science
Consumer Perceptions and Willingness to Pay for Intrinsically Motivated Online Content
Journal of Management Information Systems
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
Journal of Management Information Systems
Understanding Sustained Participation in Open Source Software Projects
Journal of Management Information Systems
Decentralization in Wikipedia Governance
Journal of Management Information Systems
Network Externalities and Technology Use: A Quantitative Analysis of Intraorganizational Blogs
Journal of Management Information Systems
Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube
Information Systems Research
Co-Creation: Toward a Taxonomy and an Integrated Research Perspective
International Journal of Electronic Commerce
Content Contribution for Revenue Sharing and Reputation in Social Media: A Dynamic Structural Model
Journal of Management Information Systems
Learning from other buyers: The effect of purchase history records in online marketplaces
Decision Support Systems
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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 remains a challenge because of the anonymity of commentators. This paper introduces moderation into reputation systems. We show that moderation directly affects strategic commentators' incentive to generate useful information, and moderation is generally desirable to improve information quality. We find that when being moderated with different probabilities based on their reputations, commentators might 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 commentators (reverse reputation). We then investigate the optimal moderation resource allocation and conclude that the seemingly abnormal reverse reputation could arise as an optimal result. Our study underscores the importance of moderation and highlights that the frequency of moderation should be properly chosen for better performance of online communities.