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The biological roots of political extremism

Negativity bias, political ideology, and preferences for political news

Published online by Cambridge University Press:  27 December 2017

Justin Robert Keene ,
Heather Shoenberger ,
Collin K. Berke  and
Paul D. Bolls
Justin Robert Keene*
Affiliation:
Texas Tech University
Heather Shoenberger
Affiliation:
University of Oregon
Collin K. Berke
Affiliation:
University of Nebraska–Lincoln
Paul D. Bolls
Affiliation:
Texas Tech University
*
Correspondence: Justin Robert Keene, Department of Journalism & Electronic Media, College of Media and Communication, Texas Tech University, 3003 15th Street, Lubbock, TX 79409 USA. Email: justin.r.keene@ttu.edu
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Abstract

Recent research has revealed the complex origins of political identification and the possible effects of this identification on social and political behavior. This article reports the results of a structural equation analysis of national survey data that attempts to replicate the finding that an individual’s negativity bias predicts conservative ideology. The analysis employs the Motivational Activation Measure (MAM) as an index of an individual’s positivity offset and negativity bias. In addition, information-seeking behavior is assessed in relation to traditional and interactive media sources of political information. Results show that although MAM does not consistently predict political identification, it can be used to predict extremeness of political views. Specifically, high negativity bias was associated with extreme conservatism, whereas low negativity bias was associated with extreme liberalism. In addition, political identification was found to moderate the relationship between motivational traits and information-seeking behavior.

Keywords

Political orientationmotivational activationinformation selectionpolitical ideologyapproach system activationdefensive system activation
Type
Articles
Information
Politics and the Life Sciences , Volume 36 , Issue 2 , Fall 2017 , pp. 37 - 48
Copyright
© Association for Politics and the Life Sciences 2017 

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References

Bradley, M. M. and Lang, P. J., “Measuring emotion: Behavior, feeling, and physiology,” in Cognitive Neuroscience of Emotion, Lane, R. D. and Nadel, L., eds. (New York: Oxford University Press, 2000), pp. 242–276.Google Scholar
Feldman, S. and Huddy, L., “Not so simple: The multidimensional nature and diverse origins of political ideology,” Behavioral and Brain Sciences , 2014, 37(3): 312–313.CrossRefGoogle ScholarPubMed
Fowler, J. H. and Schreiber, D., “Biology, politics, and the emerging science of human nature,” Science , 2008, 322(5903): 912–914.CrossRefGoogle ScholarPubMed
Cacioppo, J. T. and Berntson, G. G., “The affect system architecture and operating characteristics,” Current Directions in Psychological Science , 1999, 8(5): 133–137.Google Scholar
Hibbing, J. R., Smith, K. B., and Alford, J. R., “Differences in negativity bias underlie variations in political ideology,” Behavioral and Brain Sciences , 2014, 37(3): 297–350.Google Scholar
Jost, J. T. and Amodio, D. M., “Political ideology as motivated social cognition: Behavioral and neuroscientific evidence,” Motivation and Emotion , 2012, 36(1): 55–64.Google Scholar
Homer-Dixon, T., Maynard, J. L., Mildenberger, M., Milkoreit, M., Mock, S. J., Quilley, S., Schoder, T., and Thagard, P., “A complex systems approach to the study of ideology: Cognitive-affective structures and the dynamics of belief systems,” Journal of Social and Political Psychology , 2013, 1(1): 337–363.Google Scholar
Feldman and Huddy.Google Scholar
Oxley, D. R., Smith, K. B., Alford, J. R., Hibbing, M. V., Miller, J. L., Scalora, M., Hatemi, P. K., and Hibbing, J. R., “Political attitudes vary with physiological traits,” Science , 2008, 321(5896): 1667–1670.Google Scholar
Smith, K. B., Oxley, D., Hibbing, M. V., Alford, J. R., and Hibbing, J. R., “Disgust sensitivity and the neurophysiology of left-right political orientations,” PLOS ONE , 2011, 6(10): e25552.CrossRefGoogle ScholarPubMed
Smith, K. B., Oxley, D. R., Hibbing, M. V., Alford, J. R., and Hibbing, J. R., “Linking genetics and political attitudes: Reconceptualizing political ideology,” Political Psychology , 2011, 32(3): 369–397.Google Scholar
Amodio, D. M., Jost, J. T., Master, S. L., and Yee, C. M., “Neurocognitive correlates of liberalism and conservatism,” Nature Neuroscience , 2007, 10(10): 1246–1247.CrossRefGoogle ScholarPubMed
Feldman, S. and Johnston, C., “Understanding the determinants of political ideology: Implications of structural complexity,” Political Psychology , 2014, 35(3): 337–358.Google Scholar
Schreiber, D., Fonzo, G., Simmons, A. N., Dawes, C. T., Flagan, T., Fowler, J. H., and Paulus, M. P., “Red brain, blue brain: Evaluative processes differ in democrats and republicans,” PLOS ONE , 2013, 8(2): e52970.Google Scholar
Cacioppo, J. T., Berntson, G. G., Norris, C. J., and Gollan, J. K., “The evaluative space model,” in Handbook of Theories of Social Psychology: Volume One, Lang, P. V., Kruglanksi, A. W., and Higgins, E. T., eds. (Thousand Oaks, CA: Sage, 2012), pp. 50–72.Google Scholar
Vrana, S. R., Spence, E. L., and Lang, P. J., “The startle probe response: A new measure of emotion?” Journal of Abnormal Psychology , 1988, 97(4): 487–491.CrossRefGoogle ScholarPubMed
Cacioppo and Berntson.Google Scholar
Hibbing, Smith, and Alford.Google Scholar
Potter, R. F., Lee, S., and Rubenking, B. E., “Correlating a motivation-activation measure with media preference,” Journal of Broadcasting & Electronic Media , 2011, 55(3): 400–418.Google Scholar
Lang, A., Shin, M., and Lee, S., “Sensation seeking, motivation, and substance use: A dual system approach,” Media Psychology , 2005, 7(1): 1–29.Google Scholar
Wang, Z., Tchernev, J. M., and Solloway, T., “A dynamic longitudinal examination of social media use, needs, and gratifications among college students,” Computers in Human Behavior , 2012, 28(5): 1829–1839.Google Scholar
Potter, Lee, and Rubenking.Google Scholar
Shoenberger, H. and Tandoc, E. Jr., “Updated statuses: Understanding Facebook use through explicit and implicit measures of attitudes and motivations,” Online Journal of Communication and Media Technologies , 2014, 4(1): 217, http://www.ojcmt.net/articles/41/4110.pdf, accessed September 22, 2017.CrossRefGoogle Scholar
Fowler and Schreiber.Google Scholar
Shafer, B. E. and Claggett, W. J. M., The Two Majorities: The Issue Context of Modern American Politics (Baltimore: Johns Hopkins University Press, 1995).CrossRefGoogle Scholar
Jost and Amodio.Google Scholar
Amodio et al. Google Scholar
Cacioppo, J. T. and Visser, P. S., “Political psychology and social neuroscience: Strange bedfellows or comrades in arms?” Political Psychology , 2003, 24(4): 647–656.Google Scholar
Oxley et al. Google Scholar
Bradley, S. D., Angelini, J. R., and Lee, S., “Psychophysiological and memory effects of negative political ads: Aversive, arousing, and well remembered,” Journal of Advertising , 2007, 36(4): 115–127.Google Scholar
Liuzza, M. T., Vecchione, M., Dentale, F., Crostella, F., Barbaranelli, C., Caprara, G. V., and Aglioti, S. M., “A look into the ballot box: Gaze following conveys information about implicit attitudes toward politicians,” Quarterly Journal of Experimental Psychology , 2013, 66(2): 209–216.Google Scholar
Westen, D., Blagov, P. S., Harenski, K., Kilts, C., and Hamann, S., “Neural bases of motivated reasoning: An fMRI study of emotional constraints on partisan political judgment in the 2004 U.S. presidential election,” Journal of Cognitive Neuroscience , 2006, 18(11): 1947–1958.CrossRefGoogle ScholarPubMed
Emerson, 1888, as cited in Hibbing, Smith, and Alford.Google Scholar
Jost, J. T., Federico, C. M., and Napier, J. L., “Political ideology: Its structure, functions, and elective affinities,” Annual Review of Psychology , 2009, 60: 307–337.Google Scholar
Amodio et al. Google Scholar
Oxley et al. Google Scholar
Hibbing, Smith, and Alford.Google Scholar
Oxley et al. Google Scholar
Norris, C. J., Larsen, J. T., Crawford, L. E., and Cacioppo, J. T., “Better (or worse) for some than others: Individual differences in the positivity offset and negativity bias,” Journal of Research in Personality , 2011, 45(1): 100–111.Google Scholar
Hibbing et al. Google Scholar
Cacioppo et al. Google Scholar
Hibbing et al. Google Scholar
Cacioppo and Berntson.Google Scholar
Cacioppo et al. Google Scholar
Lang, Shin, and Lee.Google Scholar
Lang, A., Bradley, S. D., Sparks, J. V. Jr., and Lee, S., “The motivation activation measure (MAM): How well does MAM predict individual differences in physiological indicators of appetitive and aversive activation?” Communication Methods and Measures , 2007, 1(2): 113–136.Google Scholar
Lang, A., Kurita, S., Rubenking, B. R., and Potter, R. F., “miniMAM: Validating a short version of the Motivation Activation Measure,” Communication Methods and Measures , 2011, 5(2): 146–162.Google Scholar
Lang, P. J., Bradley, M. M., and Cuthbert, B. N., International Affective Picture System (IAPS): Technical Manual and Affective Ratings (Gainesville: Center for Research in Psychophysiology, University of Florida, 1999).Google Scholar
Lang, Bradley, Sparks, and Lee.Google Scholar
Lang, Kurita, Rubenking, and Potter.Google Scholar
Lang, A. and Lee, S., “Individual differences in trait motivational reactivity influence children and adolescents’ responses to pictures of taboo products,” Journal of Health Communication , 2014, 19(9): 1030–1046.Google Scholar
Lang, Shin, and Lee.Google Scholar
Sparks, J. V. and Chung, S., “The effects of psychobiological motivational traits on memory of in-game advertising messages,” Psychology & Marketing , 2016, 33(1): 60–68.Google Scholar
Potter, Lee, and Rubenking.Google Scholar
Samson, L. and Detenber, B. H., “The motivation activation measure and media use in Singapore: Cross-cultural stability,” Asian Journal of Communication , 2017, 4: 433–450.Google Scholar
Bolls, P. D., Shoenberger, H., Schillenger, D., Almond, A., and Williams, J., “The relationship between motivation activation and social media,” Paper presented at the Annual Meeting of the Association for Education in Journalism and Mass Communication, 2011, St. Louis, Missouri.Google Scholar
Shoenberger and Tandoc.Google Scholar
Potter, Lee, and Rubenking.Google Scholar
Samson and Detenber.Google Scholar
Garrett, K. R., “Politically motivated reinforcement seeking: Reframing the selective exposure debate,” Journal of Communication , 2009, 59(4): 676–699.Google Scholar
Jost and Amodio.Google Scholar
Shoemaker, P. J., “Hardwired for news: Using biological and cultural evolution to explain the surveillance function,” Journal of Communication , 1996, 46(3): 32–47.Google Scholar
Thorson, E., Shoenberger, H., Karaliova, T., Kim, E., and Fidler, R., “News use of mobile media: A contingency model,” Mobile Media & Communication , 2015, 3(2): 160–178.Google Scholar
Dutta-Bergman, M. J., “Complementarity in consumption of news types across traditional and new media,” Journal of Broadcasting & Electronic Media , 2004, 48(1): 41–60.CrossRefGoogle Scholar
Westlund, O. and Färdigh, M. A., “Accessing the news in an age of mobile media: Tracing displacing and complementary effects of mobile news on newspapers and online news,” Mobile Media & Communication , 2015, 3(1): 53–74.Google Scholar
Lang, Bradley, Sparks, and Lee.Google Scholar
Lang, Bradley, and Cuthbert.Google Scholar
Zhao, X., Lynch, J. G. Jr., and Chen, Q., “Reconsidering Baron and Kenny: Myths and truths about mediation analysis,” Journal of Consumer Research , 2010, 37(2): 197–206.Google Scholar
Potter, Lee, and Rubenking.Google Scholar
Gottfried, J. and Mitchell, A., “News use across social media platforms,” Pew Research Journalism Project, May 26, 2016, http://www.journalism.org/2016/05/26/news-use-across-social-media-platforms-2016/, accessed September 21, 2017.Google Scholar
Keil, A. and Freund, A. M., “Changes in the sensitivity to appetitive and aversive arousal across adulthood,” Psychology and Aging , 2009, 24(3): 668–680.CrossRefGoogle ScholarPubMed