This paper studies the effects of information exchange and social networks on the performance of prediction markets with endogenous information acquisition. We provide a game-theoretic framework to resolve the question: Can social networks and information exchange promote the forecast efficiency...

Information aggregation mechanisms are designed explicitly for collecting and aggregating dispersed information. An excellent example of the use of this "wisdom of crowds" is a prediction market. The purpose of our Twitter-based prediction market is to suggest that carefully designed market...

Social media services such as Twitter and YouTube are offering unprecedented opportunities for ordinary people to access a huge amount of content and to publish their own content for a global audience. The key innovation of these services, however, is not technological, rather, it's about...

Online peer-to-peer communities and online social networks have become increasingly popular. In particular, the recent boost of online peer-to-peer communities leads to exponential growth in sharing of user-contributed content which have brought profound changes to business and economic...

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...

Social media platforms such as Facebook show ads with popularity or general endorsement signals such as “likes”. Additionally, these ads can display social endorsement from friends (i.e., friends’ “likes”). This paper examines the effectiveness of displaying these different signals on...

Online platforms are prone to abuse and manipulations from strategic parties. For example, social media and review websites suffer from sentiment manipulations, manifested in the form of opinion spam and fake reviews. The consequence of such manipulations is the deterioration of information...

For social networking platforms like Facebook, understanding the peer effects on it can be valuable to many applications, such as designing efficient advertisements with social endorsement. Therefore, we propose a statistical methodology that provides such understanding. These platforms contain...

Social broadcasting networks like Twitter in the U.S. and “Weibo” in China are transforming the way online word-of-mouth is disseminated and consumed in our society. We investigate whether and how Twitter WOM affects movie sales using publicly available Twitter data and common text mining...