Using Social Media to Predict Future Events with Agent-Based Markets

Agents can exploit user-generated content available in social media by extracting user sentiments and assessments and using them to make informed transactions on the market.

[1]  Shu-Heng Chen,et al.  Software-Agent Designs in Economics: An Interdisciplinary [Research Frontier] , 2008, IEEE Computational Intelligence Magazine.

[2]  Paul C. Tetlock,et al.  Information Markets: A New Way of Making Decisions , 2006 .

[3]  David M. Pennock,et al.  A Utility Framework for Bounded-Loss Market Makers , 2007, UAI.

[4]  M. Osborne,et al.  Using Prediction Markets and Twitter to Predict a Swine Flu Pandemic , 2009 .

[5]  Bernardo A. Huberman,et al.  Predicting the Future with Social Media , 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[6]  John Seiffertt,et al.  Intelligence in Markets: Asset Pricing, Mechanism Design, and Natural Computation [Technology Review] , 2008, IEEE Computational Intelligence Magazine.

[7]  Huan Liu,et al.  Toward Predicting Collective Behavior via Social Dimension Extraction , 2010, IEEE Intelligent Systems.

[8]  Dominique M. Hanssens,et al.  Improving Marketing Decisions , 1990 .

[9]  J. Wolfers,et al.  Prediction Markets , 2003 .

[10]  Peter A. Gloor,et al.  Predicting Movie Success and Academy Awards through Sentiment and Social Network Analysis , 2008, ECIS.

[11]  Manish Agrawal,et al.  Information Market Based Decision Fusion , 2009, ICIS.

[12]  R. Hanson.  LOGARITHMIC MARKETS CORING RULES FOR MODULAR COMBINATORIAL INFORMATION AGGREGATION , 2012 .

[13]  Hsinchun Chen,et al.  AI and Opinion Mining , 2010, IEEE Intelligent Systems.

[14]  Wenji Mao,et al.  Social Computing: From Social Informatics to Social Intelligence , 2007, IEEE Intell. Syst..