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SSIM: Using social science to model the effects of influence campaigns on attitudes and behaviors

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3 Author(s)
Victoria Romero ; Charles River Analytics, Cambridge, MA 80305 USA ; Corey Lofdahl ; Eric Carlson

The inclusion of social science theories of persuasion can improve influence operators' ability to predict the effects of influence campaigns. However, providing operators with a means to use these theories in predicting target audiences' attitudes and behaviors presents several challenges. Operators often have limited time and data and may lack the expertise to effectively leverage social science theories or the output from models built upon these theories. The Social Science Influence Modeling (SSIM) tool addresses these challenges by offering models at three levels of increasing complexity and by employing theories that can accommodate the needs and limitations operators encounter.

Published in:

2012 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support

Date of Conference:

6-8 March 2012