Opinion mining in social media: modeling, simulating, and visualizing political opinion formation in the web

Authors:
Michael Kaschesky;Pawel Sobkowicz;Guillaume Bouchard
Affiliations:
Bern University of Applied Sciences E-Government Unit Bern, Switzerland;Bern University of Applied Sciences E-Government Unit Bern, Switzerland;Xerox Research Center Europe Data Mining and Machine Learning Grenoble, France
Venue:
Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times
Year:
2011

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Abstract

Affordable and ubiquitous online communications (social media) provide the means for flows of ideas and opinions and play an increasing role for the transformation and cohesion of society - yet little is understood about how online opinions emerge, diffuse, and gain momentum. To address this problem, an opinion formation framework based on content analysis of social media and sociophysical system modeling is proposed. Based on prior research and own projects, three building blocks of online opinion tracking and simulation are described: (1) automated topic and opinion detection in real-time, (2) topic and opinion modeling and agent-based simulation, and (3) visualizations of topic and opinion networks. Finally, two application scenarios are presented to illustrate the framework and motivate further research.