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Trends & Controversies
July/August 2011 (vol. 26 no. 4)
pp. 80-91

This issue's Trends and Controversies department takes a look at social intelligence and cultural awareness. Hsinchun Chen begins by describing the work he is doing on the University of Arizona's GeoPolitical Web project, which aims to develop a research framework and the associated computational components for collecting and analyzing large-scale, longitudinal social media contents from many at-risk regions in the world. The following two essays by distinguished experts in the field present a unique, innovative research framework, computational methods, and selected results and examples.

1. R. Pool, "Sociocultural Data to Accomplish Department of Defense Missions: Toward a Unified Social Framework," Nat'l Research Council, Nat'l Academies Press, 2011.
2. "Islam and the Arab Revolutions," The Economist,2 Apr. 2011.
3. J.M. Oetzel, R.A. Betis, and M. Zenner, "Country Risk Measures: How Risky Are They?" J. World Business, vol. 36, no. 2, 2000, pp. 128–145.
4. Y. Zhang et al., "Developing a Dark Web Collection and Infrastructure for Computational and Social Sciences," Proc. IEEE Int'l Conf. Intelligence and Security Informatics (IEEE ISI 2010), 2010.
5. H. Chen et al., "The GeoPolitical Web: Assessing Societal Risk in an Uncertain World," Proc. IEEE Int'l Conf. Intelligence and Security Informatics (IEEE ISI 2011), IEEE Press, 2011.
1. R. Pool, "Sociocultural Data to Accomplish Department of Defense Missions: Toward a Unified Social Framework: Workshop Summary," Nat'l Research Council, Nat'l Acade-mies Press, 2011.
2. G. Hofstede and G. J. Hofstede, Cultures and Organizations: Software of the Mind, McGraw-Hill, 2004, p. 4.
3. J.K. Burgoon and A. Bacue, "Non-verbal Communication Skills," Handbook of Communication and Social Interaction Skills, B.R. Burleson, and J.O. Greene eds., Erlbaum, 2003, pp. 179–219.
4. D.C. Derrick, "Special-Purpose, Embodied Conversational Intelligence with Environmental Sensors (SPECIES) Agents: Implemented in an Automated Interviewing Kiosk," tech. report, Univ. of Arizona, 2011.
5. C. Nass et al., "Computers Are Social Actors: A Review of Current Research," , Human Values and the Design of Computer Technology, Center for the Study of Language and Information Lecture Notes, Cambridge Univ. Press, 1997, pp. 137–161.
1. P. Davis, "Simple Models to Explore Deterrence and More General Influence in the War with al-Qaeda," occasional paper, RAND, 2010.
2. A. Smith et al., "Using Quantitative Content Analysis to Assess the Likelihood of Terrorist Violence," Proc. AAAS Symp., 2011; http://aaas.confex.com/aaas/2011/web program Session2712.html.
3. A. Sanfilippo, L. McGrath, and P. Whitney, "Framing Words of Violence," presentation at the 2011 AAAS Symp. Using Quantitative Content Analysis to Assess the Likelihood of Terrorist Violence, 2011; http://aaas.confex.com/aaas/2011/webprogram Paper2839.html.
4. E. Goffman, Frame Analysis: An Essay on the Organization of Experience, Harper and Row, 1974.
5. A. Sanfilippo et al., "Auto-mating Frame Analysis," Social Computing, Behavioral Modeling, and Prediction, H. Liu, J. Salerno, and M. Young eds., Springer, 2008, pp. 239–248.
6. A.G. Smith et al., "The Language of Violence: Distinguishing Terrorist from Non-terrorist Groups Using Thematic Content Analysis," Dynamics of Asymmetric Conflict, vol. 1, 2008, pp. 142–163.

Index Terms:
Intelligent systems, social intelligence, cultural awareness, Dark Web, GeoPolitical Web project, social media, terrorism, statistical analysis, human-agent interaction, SPECIES
Citation:
"Trends & Controversies," IEEE Intelligent Systems, vol. 26, no. 4, pp. 80-91, July-Aug. 2011, doi:10.1109/MIS.2011.74
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