Counteracting the Politicization of Science

Journal of Communication

Volumn 65, Issue 5, 2015, Pages 745-769

  Bolsen, Toby ^a   Druckman, James N ^b  

^a GEORGIA STATE UNIVERSITY   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Motivated Reasoning; Politicization; Public Opinion; Science Communication

Indexed keywords

COMMUNICATION BEHAVIOR; POLITICS;

EID: 84943199945     PISSN: 00219916     EISSN: 14602466     Source Type: Journal    
DOI: 10.1111/jcom.12171     Document Type: Article

References (92)

1. Arceneaux, K. (2012). Cognitive biases and the strength of political arguments. American Journal of Political Science, 56(2), 271-285. doi:10.1111/j.1540-5907.2011.00573.x.
2. Barabas, J., & Jerit, J. (2010). Are survey experiments externally valid? American Political Science Review, 104(2), 226-242. doi:10.1017/S0003055410000092.
3. Bauer, M., Allum, N., & Miller, S. (2007). What can we learn from 25 years of PUS survey research? Liberating and expanding the agenda. Public Understanding of Science, 16(1), 79-95. doi:10.1177/0963662506071287.
4. Baumeister, R. F., Bratslavsky, E., Finkenauer, C., & Vohs, K. D. (2001). Bad is stronger than good. Review of General Psychology, 5(4), 323-370. doi:10.1037/1089-2680.5.4.323.
5. Berinsky, A. J., & Kinder, D. R. (2006). Making sense of issues through media frames: Understanding the Kosovo crisis. Journal of Politics, 68(3), 640-656. doi:10.1111/j.1468-2508.2006.00451.x.
6. Blalock, J., & Hubert, M. (1979). Social statistics (2nd ed.). New York, NY: McGraw-Hill.
7. Bolsen, T. (2011). The construction of news: Energy crises, advocacy messages, and frames toward conservation. International Journal of Press / Politics, 16(2), 143-162. doi:10.1177/1940161210392782.
8. Bolsen, T. & Cook, F. L. (2008). Public opinion on energy policy, 1974-2006. Public Opinion Quarterly, 72(2), 364-388. doi:10.1093/poq/nfn019.
9. Bolsen, T., Druckman, J. N., & Cook, F. L. (2014a). How frames can stunt support for scientific adaptations: Politicization and the status quo bias. Public Opinion Quarterly, 78(1), 1-26. doi:10.1093/poq/nft044.
10. Bolsen, T., Druckman, J. N., & Cook, F. L. (2014b). The influence of partisan motivated reasoning on public opinion. Political Behavior, 36(2), 235-262. doi:10.1007/s11109-013-9238-0.
11. Boudet, H., Clarke, C., Bugden, D., Maibach, M., Roser-Renouf, C., & Leiserowitz, A. (2014). "Fracking" controversy and communication: Using national survey data to understand public perceptions of hydraulic fracturing. Energy Policy, 65, 57-67. doi:10.1016/j.enpol.2013.10.017.
12. Briñol, P., & Petty, R. E. (2005). Individual differences in persuasion. In D. Albarracin, B. T. Johnson, & M. P. Zanna (Eds.), The handbook of attitudes (pp. 575-616). New York, NY: Erlbaum.
13. Bullock, J., & Ha, S. E. (2011). Mediational analysis is harder than it looks. In J. N. Druckman, D. P. Green, J. H. Kuklinski, & A. Lupia (Eds.), Cambridge handbook of experimental political science (pp. 508-521). New York, NY: Cambridge University Press.
14. Caplin, A., & Leahy, J. (2001). Psychological expected utility theory and anticipatory feelings. The Quarterly Journal of Economics, 116(1), 55-79. doi:10.1162/003355301556347.
15. Case, D. O. (2012). Looking for information: A survey of research on information seeking, needs and behavior. Bingley, England: Emerald.
16. Chong, D., & Druckman, J. N. (2007). A theory of framing and opinion formation in competitive elite environments. Journal of Communication, 57(1), 99-118. doi:10.1111/j.1460-2466.2006.00331.x.
17. Chong, D., & Druckman, J. N. (2010). Counterframing effects. Journal of Politics, 75(1), 1-16. doi:10.1017/S0022381612000837.
18. Cobb, M. D., Nyhan, B., & Reifler, J. (2013). Beliefs don't always persevere: How political figures are punished when positive information about them is discredited. Political Psychology, 34(3), 307-326. doi:10.1111/j.1467-9221.2012.00935.x.
19. Compton, J. A., & Pfau, M. (2005). Inoculation theory of resistance to influence at maturity: Recent progress in theory development and application and suggestions for future research. Communication Yearbook, 29, 97-145.
20. Constans, J. I. (2001). Worry propensity and the perception of risk. Behaviour Research and Therapy, 39(6), 721-729. doi:10.1016/S0005-7967(00)00037-1.
21. Delli Carpini, M. X., & Keeter, S. (1996). What Americans know about politics and why it matters. New Haven, CT: Yale University Press.
22. Dietz, T. (2013). Bringing values and deliberation to science communication. Proceedings of the National Academy of Sciences of the United States of America, 110(3), 14081-14087. doi:10.1073/pnas.1212740110.
23. Druckman, J. N. (2001). Evaluating framing effects. Journal of Economic Psychology, 22(1), 91-101. doi:10.1016/S0167-4870(00)00032-5.
24. Druckman, J. N. (2012). The politics of motivation. Critical Review: A Journal of Politics and Society, 24(2), 199-216. doi:10.1080/08913811.2012.711022.
25. Druckman, J. N. (2013). Stunted policy support. Nature Climate Change, 3(7), 617. doi:10.1038/nclimate1939.
26. Druckman, J. N. (2014). Pathologies of studying public opinion, political communication, and democratic responsiveness. Political Communication, 31(3), 467-492. doi:10.1080/10584609.2013.852643.
27. Druckman, J. N., & Bolsen, T. (2011). Framing, motivated reasoning, and opinions about emergent technologies. Journal of Communication, 61(4), 659-688. doi:10.1111/j.1460-2466.2011.01562.x.
28. Druckman, J. N., Fein, J., & Leeper, T. J. (2012). A source of bias in public opinion stability. American Political Science Review, 106(2), 430-454. doi:10.1017/S0003055412000123.
29. Druckman, J. N., & Kam, C. (2011). Students as experimental participants: A defense of the 'narrow data base'. In J. N. Druckman, D. Green, J. Kuklinski, & A. Lupia (Eds.), Cambridge handbook of experimental political science (pp. 41-57). New York, NY: Cambridge University Press.
30. Druckman, J. N., & McDermott, R. (2008). Emotion and the framing of risky choice. Political Behavior, 30(3), 297-321. doi:10.1007/s11109-008-9056-y.
31. Druckman, J. N., Peterson, E., & Slothuus, R. (2013). How elite partisan polarization affects public opinion formation. American Political Science Review, 107(1), 57-79. doi:10.1017/S0003055412000500.
32. Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Orlando, FL: Harcourt Brace Jovanovich College.
33. Einwiller, S. A., & Johar, G. V. (2013). Countering accusations with inoculation: The moderating role of consumer-company identification. Public Relations Review, 39(3), 198-206. doi:10.1016/j.pubrev.2013.03.002.
34. Freudenburg, W. R., Gramling, R., & Davidson, D. J. (2008). Scientific certainty argumentation methods (SCAMs): Science and the politics of doubt. Sociological Inquiry, 78(1), 2-38. doi:10.1111/j.1475-682X.2008.00219.x.
35. Hansson, S. O. (1996). Defining pseudo-science. Philosophia Naturalis, 33(1), 169-176.
36. Hirsh, J. B., Mar, R. A., & Peterson, J. B. (2012). Psychological entropy: A framework for understanding uncertainty-related anxiety. Psychological Review, 119(2), 304-320. doi:10.1037/a0026767.
37. Horgan, J. (2005). The Republican war on science: Review. New York Times. Retrieved from http://www.nytimes.com/2005/12/18/books/review/18horgan.html?pagewanted=all&_r=0.
38. Ivanov, B., Miller, C. H., Compton, J., Averbeck, J. M., Harrison, K. J., Sims, J. D., ... Parker, J. L. (2012). Effects of postinoculation talk on resistance to influence. Journal of Communication, 62(4), 701-718. doi:10.1111/j.1460-2466.2012.01658.x.
39. Jasanoff, S. (1987). Contested boundaries in policy-relevant science. Social Studies of Science, 17(2), 195-230. doi:10.1177/030631287017002001.
40. Kahan, D. M. (2012). Cultural cognition as a conception of the cultural theory of risk. In S. Roeser (Ed.), Handbook of risk theory (pp. 725-759). New York, NY: Springer.
41. Kahan, D. M. (2015). Climate-science communication and the measurement problem. Political Psychology, 36(S1), 1-43. doi:10.1111/pops.12244.
42. Kahan, D. M., Braman, D., Slovic, P., Gastil, J., & Cohen, G. (2009). Cultural cognition of the risks and benefits of nanotechnology. Nature Nanotechnology, 4(2), 87-90. doi:10.1038/nnano.2008.341.
43. Kahan, D. M., Jenkins-Smith, H., & Braman, D. (2011). Cultural cognition of scientific consensus. The Journal of Risk Research, 14(2), 147-174. doi:10.1080/13669877.2010.511246.
44. Kahneman, D. (2011). Thinking, fast and slow. New York, NY: Farrar, Straus, and Giroux.
45. Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1991). Anomalies: The endowment effect, loss aversion, and the status quo bias. The Journal of Economic Perspectives, 5(1), 193-206.
46. Klar, S. (2014). Partisanship in a social setting. American Journal of Political Science, 58(3), 687-704.
47. Kruglanski, A. W., & Stroebe, W. (2005). The influence of beliefs and goals on attitudes: Issues of structure, function, and dynamics. In D. Albarracin, B. T. Johnson, & M. P. Zanna (Eds.), The handbook of attitudes (pp. 323-368). Mahwah, NJ: Erlbaum.
48. Kuklinski, J. H., Quirk, P. J., Jerit, J., Schwieder, D., & Rich, R. F. (2000). Misinformation and the currency of democratic citizenship. Journal of Politics, 62(3), 790-816. doi:10.1111/0022-3816.00033.
49. Kunda, Z. (1990). The case for motivated reasoning. Psychological Bulletin, 108(3), 480-498. doi:10.1037/0033-2909.108.3.480.
50. Kunda, Z. (1999). Social cognition: Making sense of people. Cambridge, MA: MIT Press.
51. Lavine, H., Johnston, C., & Steenbergen, M. (2012). The ambivalent partisan: How critical loyalty promotes democracy. New York, NY: Oxford University Press.
52. Leeper, T. (2012). Essays on political information and the dynamics of public opinion. Doctoral dissertation, Northwestern University, Evanston, IL.
53. Lerner, J. S., & Tetlock, P. E. (1999). Accounting for the effects of accountability. Psychological Bulletin, 125(2), 255-275. doi:10.1037/0033-2909.125.2.255.
54. Lodge, M., & Taber, C. S. (2000). Three steps toward a theory of motivated political reasoning. In A. Lupia, M. McCubbins, & S. Popkin (Eds.), Elements of reason: Cognition, choice, and the bounds of rationality (pp. 183-213). New York, NY: Cambridge University Press.
55. Lodge, M., & Taber, C. S. (2013). The rationalizing voter. Cambridge, MA: Cambridge University Press.
56. Lord, C. G., Lepper, M. R., & Preston, E. (1984). Considering the opposite: A corrective strategy for social judgment. Journal of Personality and Social Psychology, 47(6), 1231-1243. doi:10.1037/0022-3514.47.6.1231.
57. Lupia, A. (2006). How elitism undermines the study of voter competence. The Critical Review, 18(1-3), 217-232. doi:10.1080/08913810608443658.
58. Lupia, A. (2013). Communicating science in politicized environments. Proceedings of the National Academy of Sciences of the United States of America, 110(3), 14048-14054. doi:10.1073/pnas.1212726110.
59. Lupia, A. (2014). What is the value of social science? Challenges for researchers and government funders. PS: Political Science & Politics, 47(1), 1-7. doi:10.1017/S1049096513001613.
60. Maner, J. K., & Schmidt, N. B. (2006). The role of risk avoidance in anxiety. Behavior Therapy, 37(2), 181-189. doi:10.1016/j.beth.2005.11.003.
61. Marcus, G. E., Neuman, W. R., & MacKuen, M. (2000). Affective intelligence and political judgment. Chicago, IL: University of Chicago Press.
62. McGuire, W. J. (1964). Inducing resistance to persuasion: Some contemporary approaches. Advances in Experimental Social Psychology, 1, 191-229. doi:10.1016/S0065-2601(08)60052-0.
63. Miller, J. D. (1998). The measurement of civic scientific literacy. Public Understanding of Science, 7(3), 203-223. doi:10.1088/0963-6625/7/3/001.
64. National Research Council (1994). Science and judgment in risk assessment. Washington, DC: The National Academies Press.
65. Nature (2010). Science scorned. Nature, 467(7312), 133. doi:10.1038/467133a.
66. Nelson, T. E., Oxley, Z. M., & Clawson, R. A. (1997). Toward a psychology of framing effects. Political Behavior, 19(3), 221-246. doi:10.1023/A:1024834831093.
67. Newport, F., Shapiro, R., Ayres, W., Belden, N., Fishkin, J., Fung, A., ... Warren, M. (2013). Polling and democracy: Executive summary of the AAPOR task force report on public opinion and leadership. Public Opinion Quarterly, 77(4), 853-860. doi:10.1093/poq/nft039.
68. Nir, L. (2011). Motivated reasoning and public opinion perception. Public Opinion Quarterly, 75(3), 504-532. doi:10.1093/poq/nfq076.
69. Nyhan, B., & Reifler, J. (2010). When corrections fail: The persistence of political misperceptions. Political Behavior, 32(2), 303-330. doi:10.1007/s11109-010-9112-2.
70. O'Keefe, D. (2002). Persuasion (2nd ed.). Thousand Oaks, CA: Sage.
71. Oreskes, N., & Conway, E. (2010). Merchants of doubt. New York, NY: Bloomsbury.
72. Pew Research Center. (2009, October 22). Fewer Americans see solid evidence of global warming. Retrieved from http://www.people-press.org/2009/10/22/fewer-americans-see-solid-evidence-of-global-warming/.
73. Pfau, M. (1997). The inoculation model of resistance to influence. In G. A. Barnett & F. J. Boster (Eds.), Progress in communication sciences (Vol. 13, pp. 133-172). Greenwich, CT: Ablex.
74. Pfau, M., & Burgoon, M. (1988). Inoculation in political campaign communication. Human Communication Research, 15(1), 91-111. doi:10.1111/j.1468-2958.1988.tb00172.x.
75. Pielke, R. (2007). The honest broker: Making sense of science in policy and politics. Cambridge, England: Cambridge University Press.
76. Polasky, S., Carpenter, S. R., Folke, C., & Keeler, B. (2011). Decision-making under great uncertainty: Environmental management in an era of global change. Trends in Ecology and Evolution, 26(8), 398-404. doi:10.1016/j.tree.2011.04.007.
77. Popper, K. R. (1984). In search of a better world: Lectures and essays from thirty years. New York, NY: Routledge.
78. Prior, M., Sood, G., & Khanna, K. (2013). The impact of accuracy incentives on partisan bias in reports of economic perceptions. Retrieved from http://www.princeton.edu/~mprior/PSKPartisanBias.current.pdf.
79. Scheufele, D. A., & Lewenstein, B. V. (2005). The public and nanotechnology: How citizens make sense of emerging technologies. Journal of Nanoparticle Research, 7(6), 659-667. doi:10.1007/s11051-005-7526-2.
80. Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston, MA: Houghton Mifflin.
81. Shapiro, R. Y., & Bloch-Elkon, Y. (2008). Do the facts speak for themselves? Partisan disagreement as a challenge to democratic competence. The Critical Review, 20(1-2), 115-139. doi:10.1080/08913810802316373.
82. Shwed, U., & Bearman, P. S. (2010). The temporal structure of scientific consensus formation. American Sociological Review, 75(6), 817-840. doi:10.1177/0003122410388488.
83. Sinatra, G. M., Kienhues, D., & Hofer, B. K. (2014). Addressing challenges to public understanding of science: Epistemic cognition, motivated reasoning, and conceptual change. Educational Psychologist, 49(2), 123-138. doi:10.1080/00461520.2014.916216.
84. Sinclair, B. (2012). The social citizen: Peer networks and political behavior. Chicago, IL: University of Chicago Press.
85. Slothuus, R., & de Vreese, C. H. (2010). Political parties, motivated reasoning, and issue framing effects. Journal of Politics, 72(3), 630-645. doi:10.1017/S002238161000006X.
86. Steketee, M. (2010, November 20). Some skeptics make it a habit to be wrong. The Australian. Retrieved from http://www.theaustralian.com.au/national-affairs/some-sceptics-make-it-a-habit-to-be-wrong/story-fn59niix-1225956414538?nk=88273c4b51f7681ad3c1847e54436548.
87. Strehlow, A. (2005). Scientists find new method for creating high-yield single-walled carbon nanotubes. Stanford Report. Retrieved from: http://news.stanford.edu/news/2005/october26/dai-102605.html.
88. Taber, C. S., & Lodge, M. (2006). Motivated skepticism in the evaluation of political beliefs. American Journal of Political Science, 50(3), 755-769. doi:10.1111/j.1540-5907.2006.00214.x.
89. Tetlock, P. E. (1983). Accountability and complexity of thought. Journal of Personality and Social Psychology, 45(1), 74-83. doi:10.1037/0022-3514.45.1.74.
90. Uhlenbrock, K., Landau, E., & Hankin, E. (2014). Science communication and the role of scientists in the policy discussion. In J. L. Drake, Y. Y. Kontar, & G. S. Rife (Eds.), New trends in earth-science outreach and engagement advances in natural and technological hazards research (Vol. 38, pp. 93-105). Enfield, England: Springer. doi:10.1007/978-3-319-01821-8_7.
91. Weisenfeld, U., & Ott, I. (2011). Academic discipline and risk perception of technologies: An empirical study. Research Policy, 40(3), 487-499. doi:10.1016/j.respol.2010.12.003.
92. Wines, M. (2013). Gas leaks in fracking disputed in study. The New York Times. Retrieved from http://www.nytimes.com/2013/09/17/us/gas-leaks-in-fracking-less-than-estimated.html.