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Transformational Change

Predicting Support for COVID-19 Policies with Partisan Media Use and Negative Emotion: Evidence from the U.S. and South Korea

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References

  • Albertson, B., & Gadarian, S. K. (2015). Anxious politics: Democratic citizenship in a threatening world. Cambridge University Press.
  • Ash, E., Galletta, S., Hangartner, D., Margalit, Y., & Pinna, M. (2020). The effect of Fox News on health behavior during COVID-19. Working Paper. doi:10.2139/ssrn.3636762
  • Berkowitz, L. (2012). A different view of anger: The cognitive‐neoassociation conception of the relation of anger to aggression. Aggressive Behavior, 38(4), 322–333. doi:10.1002/ab.21432
  • Bursztyn, L., Rao, A., Roth, C. P., & Yanagizawa-Drott, D. H. (2020). Misinformation during a pandemic National Bureau of Economic Research Working Papers No. w27417. doi:10.3386/w27417
  • Carmichael, J. T., Brulle, R. J., & Huxster, J. K. (2017). The great divide: Understanding the role of media and other drivers of the partisan divide in public concern over climate change in the USA, 2001–2014. Climatic Change, 141(4), 599–612. doi:10.1007/s10584-017-1908-1
  • Castle, C., Di Guilmi, C., & Stavrunova, O. (2021). Individualism and Collectivism as predictors of compliance with COVID-19 public health safety expectations. University of Technology Sydney Working Paper Series. https://www.uts.edu.au/sites/default/files/article/downloads/Working%20paper_Corrado%20%26%20Olena_0.pdf
  • CDC. (2019). Guidance and tips for tribal community living during COVID-19. https://www.cdc.gov/coronavirus/2019-ncov/community/tribal/social-distancing.html
  • Coifman, K. G., Disabato, D. J., Aurora, P., Seah, T. S., Mitchell, B., Simonovic, N. … Taber, J. M. (2021). What drives preventive health behavior during a global pandemic? Emotion and worry. Annals of Behavioral Medicine, 55(8), 791–804. doi:10.1093/abm/kaab048
  • Coleman, C. L. (1993). The influence of mass media and interpersonal communication on societal and personal risk judgments. Communication Research, 20(4), 611–628. doi:10.1177/009365093020004006
  • Davidson, R. J. (1993). Cerebral asymmetry and emotion: Conceptual and methodological conundrums. Cognition & Emotion, 7(1), 115–138. doi:10.1080/02699939308409180
  • Dillard, J. P., & Peck, E. (2001). Persuasion and the structure of affect. Dual systems and discrete emotions as complementary models. Human Communication Research, 27(1), 38–68. doi:10.1093/hcr/27.1.38
  • Dillard, J. P., & Shen, L. (2007). Self-report measures of discrete emotions. In R. A. Reynolds, R. Woods, & J. D. Baker (Eds.), Handbook of research on electronic surveys and measurements (pp. 330–333). Hershey, PA: Idea Group Reference. doi:10.4018/978-1-59140-792-8.ch044
  • Druckman, J. N., & Parkin, M. (2005). The impact of media bias: How editorial slant affects voters. The Journal of Politics, 67(4), 1030–1049. doi:10.1111/j.1468-2508.2005.00349.x
  • 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
  • Dunlop, S., Wakefield, M., & Kashima, Y. (2008). Can you feel it? Negative emotion, risk, and narrative in health communication. Media Psychology, 11(1), 52–75. doi:10.1080/15213260701853112
  • Frijda, N. H. (1986). The emotions. Cambridge, UK: Cambridge University Press.
  • Gil, J. A., & Kang, W. T. (2020). The COVID-19 crisis and the 2020 National assembly election in South Korea: Retrospective voting or partisan bias? Korean Party Studies Review, 19(4), 101–140. doi:10.30992/KPSR.2020.12.19.4.101
  • Gray, J. A. (1990). Brain systems that mediate both emotion and cognition. Cognition and Emotion, 4(3), 269–288. doi:10.1080/02699939008410799
  • Hamidein, Z., Hatami, J., & Rezapour, T. (2020). How people emotionally respond to the news on COVID-19: An online survey. Basic and Clinical Neuroscience Journal, 11(2), 171–178. doi:10.32598/bcn.11.covid19.809.2
  • Ham, S., Kim, H., & Kim, Y. (2021). A big-data analysis of media coverage on COVID-19: Topic modeling and semantic network analyses by issue cycle and political orientation. Korean Journal of Journalism & Communication Studies, 65(1), 148–189. doi:10.20879/kjjcs.2021.65.1.148
  • Hart, P. S., Chinn, S., & Soroka, S. (2020). Politicization and polarization in COVID-19 news coverage. Science Communication, 42(5), 679–697. doi:10.1177/1075547020950735
  • Hartley, C. A., & Phelps, E. A. (2012). Anxiety and decision-making. Biological Psychiatry, 72(2), 113–118. doi:10.1016/j.biopsych.2011.12.027
  • Hayes, A. (2013). Introduction to mediation, moderation, and conditional process analysis : A regression-based approach (Methodology in the social sciences). New York, NY: Guilford Publications.
  • Hay, J. L., McCaul, K. D., & Magnan, R. E. (2006). Does worry about breast cancer predict screening behaviors? A meta-analysis of the prospective evidence. Preventive medicine, 42(6), 401–408.
  • Hong, S. M., & Faedda, S. (1996). Refinement of the Hong psychological reactance scale. Educational and Psychological Measurement, 56(1), 173–182. doi:10.1177/0013164496056001014
  • Jamieson, K. H., & Albarracin, D. (2020). The relation between media consumption and misinformation at the outset of the SARS-CoV-2 Pandemic in the US. The Harvard Kennedy School Misinformation Review, 1(2), 1–22. doi:10.37016/mr-2020-012
  • JHC CSSE. (2022). Coronavirus disease: South Korea - New cases and deaths. https://coronavirus.jhu.edu/map.html
  • Jo, W. (2021). Characteristics of South Korea’s early response to the public health crisis and their implications: Topic modeling of early media coverage of MERS and COVID-19. Information Society & Media, 22(2), 25–50. doi:10.52558/ISM.2021.08.22.2.25
  • Jo, W., & Chang, D. (2020). Political consequences of COVID-19 and media framing in South Korea. Frontiers in Public Health, 8(425). doi:10.3389/fpubh.2020.00425
  • Kasperson, R. E., Renn, O., Slovic, P., Brown, H. S., Emel, J., Goble, R., & Ratick, S. (1988). The social amplification of risk: A conceptual framework. Risk Analysis, 8(2), 177–187.
  • Kim, D. H., & Kwak, N. (2022). When does incidental exposure prompt political participation? Cross-national research on the importance of individualism and collectivism. International Journal of Communication, 16, 1737–1758.
  • Lazarus, R. S. (1991). Emotion and adaptation. Oxford, UK: Oxford University Press.
  • Lee, G. B., Jung, S. J., Yiyi, Y., Yang, J. W., Thang, H. M., & Kim, H. C. (2022). Socioeconomic inequality in compliance with precautions and health behavior changes during the COVID-19 outbreak: An analysis of the Korean community health survey 2020. Epidemiology and Health, 44, e2022013. doi:10.4178/epih.e2022013
  • Lerner, J. S., & Keltner, D. (2001). Fear, anger, and risk. Journal of Personality and Social Psychology, 81(1), 146. doi:10.1037/0022-3514.81.1.146
  • Lewandowsky, S., Dennis, S., Perfors, A., Kashima, Y., White, J. P. … Little, D. R. (2021). Public acceptance of privacy-encroaching policies to address the COVID-19 pandemic in the United Kingdom. PLoS ONE, 16(1), e0245740. doi:10.1371/journal.pone.0245740
  • Lwin, M. O., Lu, J., Sheldenkar, A., Schulz, P. J., Shin, W., Gupta, R., & Yang, Y. (2020). Global sentiments surrounding the COVID-19 pandemic on Twitter: Analysis of Twitter trends. JMIR Public Health and Surveillance, 6(2), 1–4. doi:10.2196/19447
  • Marcus, G. E., Neuman, W. R., & MacKuen, M. (2000). Affective intelligence and political judgment. Chicago, IL: University of Chicago Press.
  • Moon, W. K., Atkinson, L., Kahlor, L. A., Yun, C., & Son, H. (2021). US political partisanship and COVID-19: Risk information seeking and prevention behaviors. Health Communication, 1(13), 1671–1681. doi:10.1080/10410236.2021.1912948
  • Morton, T. A., & Duck, J. M. (2001). Communication and health beliefs: Mass and interpersonal influences on perceptions of risk to self and others. Communication Research, 28(5), 602–626. doi:10.1177/009365001028005002
  • New York Times. (2022). Coronavirus in the U.S.: Latest map and case count. https://www.nytimes.com/interactive/2021/us/covid-cases.html
  • Nieuwenhuys, A., & Oudejans, R. R. (2012). Anxiety and perceptual-motor performance: Toward an integrated model of concepts, mechanisms, and processes. Psychological Research, 76(6), 747–759. doi:10.1007/s00426-011-0384-x
  • Oh, S. H., Paek, H. J., & Hove, T. (2015). Cognitive and emotional dimensions of perceived risk characteristics, genre-specific media effects, and risk perceptions: The case of H1N1 influenza in South Korea. Asian Journal of Communication, 25(1), 14–32. doi:10.1080/01292986.2014.989240
  • Paek, H. J., Oh, S. H., & Hove, T. (2016). How fear-arousing news messages affect risk perceptions and intention to talk about risk. Health Communication, 31(9), 1051–1062. doi:10.1080/10410236.2015.1037419
  • Park, J. H. (2016). Estimation of media slants in South Korean news agencies using news reports on the Sewol Ferry disaster. Korea Political Science Review, 50(1), 239–269. doi:10.18854/kpsr.2016.50.1.010
  • Park, J. H. (2020). A comparative study on the ‘Corona 19’ news frame based on ideological orientation of media. Korean Journal of Journalism & Communication Studies, 64(4), 40–85. doi:10.20879/kjjcs.2020.64.4.002
  • Prior, M. (2009). Improving media effects research through better measurement of news exposure. The Journal of Politics, 71(3), 893–908. doi:10.1017/S0022381609090781
  • Roseman, I. J., & Smith, C. A. (2001). Appraisal theory: Overview, assumptions, varieties, controversies. In K. R. Scherer, A. Schorr, & T. Johnstone (Eds.), Appraisal Processes in Emotion: Theory, Methods, Research (pp. 3–19). New York, NY: Oxford University Press.
  • Simonov, A., Sacher, S. K., Dubé, J. P. H., & Biswas, S. (2020, May). The persuasive effect of fox news: Non-compliance with social distancing during the COVID-19 pandemic National Bureau of Economic Research Working Papers No. w27237. 10.3386/w27237
  • Smith, S. W., Hamel, L. M., Kotowski, M. R., Nazione, S., LaPlante, C., Atkin, C. K. Skubisz, C. (2010). Action tendency emotions evoked by memorable breast cancer messages and their association with prevention and detection behaviors. Health Communication, 25(8), 737–746. doi:10.1080/10410236.2010.521916
  • Towers, S., Afzal, S., Bernal, G., Bliss, N., Brown, S. … Jackson, J. (2015). Mass media and the contagion of fear: The case of Ebola in America. PLoS One, 10(6), e0129179. doi:10.1371/journal.pone.0129179
  • Weeks, B. E., Kim, D. H., Hahn, L. B., Diehl, T. H., & Kwak, N. (2019). Hostile media perceptions in the age of social media: Following politicians, emotions, and perceptions of media bias. Journal of Broadcasting & Electronic Media, 63(3), 374–392. doi:10.1080/08838151.2019.1653069
  • Williams, D. M., & Evans, D. R. (2014). Current emotion research in health behavior science. Emotion Review, 6(3), 277–287. doi:10.1177/1754073914523052
  • Yzerbyt, V., Dumont, M., Wigboldus, D., & Gordijn, E. (2003). I feel for us: The impact of categorization and identification on emotions and action tendencies. British Journal of Social Psychology, 42(4), 533–549. doi:10.1348/014466603322595266

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