Media and Influence



The public information media provides information on current events (news), entertainment (programming), and opinions offered by trusted public sources (e.g., business, academic or religious spokespersons, journalists, and government officials). Consequently, it is a major force in shaping a populace’s attitudes toward significant social issues and of great interest to intervention planners. The chapter attempts to provide modelers and intervention analysts alike with sufficient understanding of media mechanisms and current research that they can begin contributing to, and benefiting from this important area of study.


Target Audience Media Outlet Framing Effect Media Influence Media Channel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Ajzen, I., and Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
  2. Allen, P. D. (2008). Accounting for bias in broadcast media message acceptance. IO Sphere. San Antonio, TX: The Joint Information Operations Warfare Command.Google Scholar
  3. Axelrod, R. (1997). The dissemination of culture: a model with local convergence and global polarization. The Journal of Conflict Resolution, 41(2), 203–226.CrossRefGoogle Scholar
  4. Bennett, W. H. (2009). Media Influence Modeling in support of Conflict Modeling, Planning, and Outcome Experimentation (COMPOEX), Presentation. Presented to the Military Operations Research Society (MORS) Irregular Warfare Analysis Workshop, MacDill AFB. Retrieved from
  5. Berlo D. K., Lemert, J. B., and Mertz, R. J. (1969). Dimensions for evaluating the acceptability of message sources. Public Opinion Quarterly, 33(4) 563–576.CrossRefGoogle Scholar
  6. Berlo, D. K. (1960). The process of communication: an introduction to theory and practice. New York, NY: Holt, Rinehart and Winston.Google Scholar
  7. Chaiken, S. (1987). The heuristic model of persuasion. In M.P. Zanna, J. M. Olson, and C. P. Herman (Eds.), Social influence: The Ontario Symposium, 5, 3–39. Hillsdale, NJ: Lawrence Erlbaum Assoc.Google Scholar
  8. Chong, D., and Druckman, J. N. (2007). Framing theory. Annual Review of Political Science, 10, 103–126.CrossRefGoogle Scholar
  9. Cover, T. M., and Thomas, J. A. (1991). Elements of information theory. New York, NY: John Wiley & Sons.MATHCrossRefGoogle Scholar
  10. Goidel, R. K., Shields, T. G., and Peffley, M. (1997). Priming theory and RAS models: toward an integrated perspective of media influence. American Politics Research, 25(3), 287–318.CrossRefGoogle Scholar
  11. Gonzalez-Avella et al. (2005). Page 19.Google Scholar
  12. Gonzalez-Avella, J. C., Eguiluz, V.M., San Miguel, M., Consenza, M. G., and Klemm, K. (2007). Information feedback and mass media effects in cultural dynamics. Journal of Artificial Societies and Social Simulation, 10(3), 9.Google Scholar
  13. Jager, W., and Amblard, F. (2004). A dynamical perspective on attitude change. In Proceedings of the North American Association for Computational Social and Organizational Science (NAACSOS) Conference. Pittsburgh, PA.Google Scholar
  14. Johnson (2007). Page 13.Google Scholar
  15. Katz, E., and Lazarsfeld, P. F. (1955). Personal influence: the part played by people in the flow of mass communication. New York, NY: Free Press.Google Scholar
  16. Latané, B. (1981). The psychology of social impact. American Psychologist, 36, 343–356.CrossRefGoogle Scholar
  17. McCombs, M., and Shaw, D. (1972). The agenda-setting function of mass media. The Public Opinion Quarterly, 36(2), 176–187.CrossRefGoogle Scholar
  18. McQuail, D. (2005). McQuail’s mass communication theory. London, England: Sage Publications Ltd.Google Scholar
  19. Mosler, H. J., Schwartz, K., Ammann, F., and Gutscher, H. (2001). Computer simulation as a method of further developing a theory: simulating the elaboration likelihood model. Personality and Social Psychology Review, 5(3), 201–215.CrossRefGoogle Scholar
  20. Perse, E. M. (2001). Media effects and society. Mahwah, NJ: Lawrence Erlbaum Assoc.Google Scholar
  21. Petty, R. E., and Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123–205.CrossRefGoogle Scholar
  22. Rogers, E. M. (2003). Diffusion of innovations, (5th ed.). New York, NY: Free Press.Google Scholar
  23. Rucker, D. D., and Petty, R. E. (2006). Increasing the effectiveness of communications to consumers: recommendations based on elaboration likelihood and attitude certainty perspectives. American Marketing Association, 25(1), 39–52.Google Scholar
  24. Scheufele, D. A., and Tewksbury, D. (2007). Framing, agenda setting, and priming: the evolution of three media effects models. Journal of Communication, 57, 9–20.Google Scholar
  25. Schumann, D., Petty, R., and Clemons, D. (1990). Predicting the effectiveness of different strategies of advertising variation. Journal of Consumer Research, 17(2), 192–202.CrossRefGoogle Scholar
  26. Sherif, C. W., Sherif, M. S., and Nebergall, R. E. (1965). Attitude and attitude change: the social judgment-involvement approach. Philadelphia, PA: W.B. Saunders Co.Google Scholar
  27. Stone, G., Singletary, M., and Richmond, V. (1999). Clarifying communication theories: a hands-on approach. Ames, IA: Iowa State University Press.Google Scholar
  28. Waltz, E. (2008). Situation analysis and collaborative planning for complex operations. In Proceedings of the13th International Command and Control Research Symposium. Bellevue, WA: Office of Assistant Secretary of Defense.Google Scholar
  29. Waltz, E. (2009). Modeling the Dynamics of Counterinsurgency (COIN). In Analytical Tools for Irregular Warfare, Proceedings of NATO System Analysis and Studies Panel Specialists Meeting (SAS-071/RSM-003), Ottobrunn, Germany: NATO Research and Technology Organization.Google Scholar
  30. Weisbuch, G., Deffuant, G., Amblard, F., and Nadal, J.P. (2002). Meet, discuss and segregate. Complexity, 7(3), 55–69.CrossRefGoogle Scholar

Copyright information

© Springer US 2010

Authors and Affiliations

  1. 1.BAE Systems, Inc.BurlingtonUK

Personalised recommendations