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AbstractWhile knowledge markets are in existence and have been shown to be valuable, researchers have yet to systematically investigate them. In this paper, we take the first steps towards an investigation into the mechanisms of knowledge markets. Specifically, we employ a mathematical orientation to demonstrate the pivotal role played by pricing schemes in knowledge management agendas. Our work contributes to the field of knowledge management by providing mathematical proofs rather than anecdotal evidence regarding the significance of pricing knowledge in organizations. Copyright © 2005 John Wiley & Sons, Ltd.

Social media platforms are valuable tools for political campaigns. In this study, we analyze a dataset representing over 22 thousand Facebook posts by candidates and over 48 million comments to understand the nature of online discourse. Specifically, we study the interaction between political candidates and the public during the 2016 presidential elections in the United States. We outline a novel method to classify commentators into four groups: strong supporters, supporters, dissenters, and strong dissenters. Comments by each group on policy-related topics are analyzed using sentiment analysis. Finally, we discuss avenues for future research to study the dynamics of social media platforms and political campaigns.