The Exaggerated Life of Death Panels? The Limited but Real Influence of Elite Rhetoric in the 2009–2010 Health Care Debate

Original Paper

Abstract

Experiments demonstrate that elites can influence public opinion through framing. Yet outside laboratories or surveys, real-world constraints are likely to limit elites’ ability to reshape public opinion. Additionally, it is difficult to distinguish framing from related processes empirically. This paper uses the 2009–2010 health care debate, coupled with automated content analyses of elite- and mass-level language, to study real-world framing effects. Multiple empirical tests uncover limited but real evidence of elite influence. The language Americans use to explain their opinions proves generally stable, although there is also evidence that the public adopts the language of both parties’ elites symmetrically. Elite rhetoric does not appear to have strong effects on Americans’ overall evaluations of health care reform, but it can influence the reasons they provide for their evaluations. Methodologically, the automated analysis of elite rhetoric and open-ended questions shows promise in distinguishing framing from other communication effects and illuminating elite-mass interactions.

Keywords

Health care reform Public opinion Automated content analysis Framing effects 

Notes

Acknowledgements

The author gratefully acknowledges feedback or recommendations from Michael Bailey, Andrea L. Campbell, Lee Drutman, Bill Gormley, Justin Grimmer, Justin Gross, Jacob Hacker, Danny Hayes, Gary King, David Konisky, Jonathan M. Ladd, Ben Lauderdale, Thomas Leeper, Marc Meredith, Burt Monroe, Hans Noel, Brendan Nyhan, Kalind Parish, Andrew Reeves, John Sides, and Brandon Stewart.

Supplementary material

11109_2017_9418_MOESM_ESM.pdf (281 kb)
Supplementary material 1 (pdf 280 KB)

References

  1. Arceneaux, K., Johnson, M., & Murphy, C. (2012). Polarized political communication, oppositional media hostility, and selective exposure. The Journal of Politics, 74(01), 174–186.CrossRefGoogle Scholar
  2. Barabas, J., & Jerit, J. (2010). Are survey experiments externally valid? American Political Science Review, 104(2), 226–242.CrossRefGoogle Scholar
  3. Baumgartner, F. R., & Bryan, D. J. (2013). Policy Agendas Project. http://www.policyagendas.org/.
  4. Baumgartner, F. R., Berry, J. M., Hojnacki, M., Leech, B. L., & David, C. K. (2009). Lobbying and policy change: Who wins, who loses, and why. Chicago: University of Chicago Press.CrossRefGoogle Scholar
  5. Baumgartner, F. R., De Boef, S., & Boydstun, A. E. (2008). The decline of the death penalty and the discovery of innocence. New York: Cambridge University Press.CrossRefGoogle Scholar
  6. Berinsky, A. J. (2007). Assuming the costs of war: Events, elites, and American public support for military conflict. Journal of Politics, 69(4), 975–997.CrossRefGoogle Scholar
  7. Blei, D. M., & Lafferty, J. D. (2006). Correlated topic models. Advances in Neural Information Processing Systems, 18, 147.Google Scholar
  8. Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993–1022.Google Scholar
  9. Boyd-Graber, J., Chang, J., Gerrish, S., Wang C., & Blei, D. (2009). Reading tea leaves: How humans interpret topic models. In Proceedings of the 23rd annual conference on neural information processing systems.Google Scholar
  10. Bullock, J. G. (2011). Elite influence on public opinion in an informed electorate. American Political Science Review, 105(3), 496–515.CrossRefGoogle Scholar
  11. Campbell, A. L. (2011). Policy feedbacks and the impact of policy designs on public opinion. Journal of Health Politcs, Policy, and Law, 36(6), 961–73.CrossRefGoogle Scholar
  12. Chong, D., & James, N. D. (2007a). A theory of framing and opinion formation. Journal of Communication, 57, 99–118.Google Scholar
  13. Chong, D., & James, N. D. (2007b). Framing public opinion in competitive democracies. American Political Science Review, 101(04), 637–655.CrossRefGoogle Scholar
  14. Chong, D., & Druckman, J. N. (2010). Dynamic public opinion: Communication effects over time. American Political Science Review, 104(4), 663–680.CrossRefGoogle Scholar
  15. Chong, D., & Druckman, J. N. (2011). Public-elite interactions: Puzzles in search of researchers. In Y. S. Robert & L. Jacobs (Eds.), The Oxford Handbook of American Public Opinion and the Media. New York: Oxford University Press.Google Scholar
  16. De Vreese, C. H. (2003). Framing Europe: Television news and European integration. Amsterdam: Het Spinhuis.Google Scholar
  17. Druckman, J. N. (2003). On the limits of framing effects: Who can frame? Journal of Politics, 63(4), 1041–1066.CrossRefGoogle Scholar
  18. Druckman, J. N. (2004). Political preference formation: Competition, deliberation, and the (ir) relevance of framing effects. American Political Science Review, 98(04), 671–686.CrossRefGoogle Scholar
  19. Druckman, J. N., & Leeper, T. J. (2012). Learning more from political communication experiments: Pretreatment and its effects. American Journal of Political Science, 56(4), 875–896.CrossRefGoogle Scholar
  20. 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.CrossRefGoogle Scholar
  21. Edwards, G. C. (2009). The strategic president: Persuasion and opportunity in presidential leadership. Princeton, NJ: Princeton University Press.Google Scholar
  22. Eisenstein, J., O’Connor, B., Smith, N. A., & Xing, E.P. (2010). A latent variable model for geographic lexical variation. In Proceedings of the 2010 conference on empirical methods in natural language processing. Association for Computational Linguistics, pp. 1277–1287.Google Scholar
  23. Entman, R. M. (2004). Projections of power: Framing news, public opinion, and U.S. Foreign Policy. Chicago: University of Chicago Press.Google Scholar
  24. Gamson, W. A. (1992). Talking politics. New York: Cambridge University Press.Google Scholar
  25. Gelman, A., & Hill, J. (2006). Data analysis using regression and multilevel/hierarchical models. New York: Cambridge University Press.CrossRefGoogle Scholar
  26. Grimmer, J. (2010). A Bayesian hierarchical topic model for political texts: Measuring expressed agendas in senate press releases. Political Analysis, 18(1), 1–35.CrossRefGoogle Scholar
  27. Grimmer, J., & King, G. (2011). General purpose computer-assisted clustering and conceptualization. Proceedings of the National Academy of Sciences, 108(7), 2643–2650.CrossRefGoogle Scholar
  28. Grimmer, J., & Stewart, B. (2013). Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political Analysis (Forthcoming).Google Scholar
  29. Hayes, D. (2008). Does the messenger matter? Candidate-media agenda convergence and its effects on voter issue salience. Political Research Quarterly, 61(1), 134–146.CrossRefGoogle Scholar
  30. Henderson, M., & Sunshine Hillygus, D. (2011). The dynamics of health care opinion, 2008–2010: Partisanship, self-interest, and racial resentment. Journal of Health Politics, Policy, and Law, 36(6), 945–960.CrossRefGoogle Scholar
  31. Hill, S. J., Lo, J., Vavreck, L., & Zaller, J. (2013). How quickly we forget: The duration of persuasion effects from mass communication. Political Communication, 30, 521–547.CrossRefGoogle Scholar
  32. Hopkins, D. J., & King, G. (2010). A method of automated nonparametric content analysis for social science. American Journal of Political Science, 54(1), 229–247.CrossRefGoogle Scholar
  33. Huber, G. A., & Paris, C. (2012). Assessing the programmatic equivalence assumption in question wording experiments: Understanding why americans like assistance to the poor more than welfare. Public Opinion Quarterly, 77, 385–397.CrossRefGoogle Scholar
  34. Iyengar, S., & Kinder, D. R. (1987). News that matters. Chicago: University of Chicago Press.Google Scholar
  35. Jacobs, L. R., & Burns, M. (2004). The second face of the public presidency: Presidential polling and the shift from policy to personality polling. Presidential Studies Quarterly, 34(3), 536–556.CrossRefGoogle Scholar
  36. Jacobs, L. R., & Shapiro, R. Y. (2000). Politicians don’t pander: Political manipulation and the loss of democratic responsiveness. Chicago: University of Chicago Press.Google Scholar
  37. Jacobs, L. R., Page, B. I., Burns, M., McAvoy, G., & Ostermeier, Eric. (2003). What presidents talk about: The nixon case. Presidential Studies Quarterly, 33(4), 751–771.CrossRefGoogle Scholar
  38. Kellstedt, P. M. (2003). The mass media and the dynamics of American racial attitudes. New York: Cambridge University Press.CrossRefGoogle Scholar
  39. Kriner, D. L., & Reeves, A. (2014). Responsive partisanship: Public support for the Clinton and Obama health care plans. Journal of Health Politics, Policy and Law, 39(4), 717–749.CrossRefGoogle Scholar
  40. Lauderdale, B. E., & Clark, T. S. (2014). Scaling politically meaningful dimensions using texts and votes. American Journal of Political Science, 58(3), 754–771.CrossRefGoogle Scholar
  41. Lecheler, S., de Vreese, C., & Slothuus, R. (2009). Issue importance as a moderator of framing effects. Communication Research, 36(3), 400–425.CrossRefGoogle Scholar
  42. Leeper, T., & Slothuus, R. (2015). Can citizens be framed? How information, not emphasis, changes opinions. Aarhus C: Aarhus University.Google Scholar
  43. Lenz, G. S. (2013). Follow the leader?: How voters respond to politicians’ policies and performance. Chicago: University of Chicago Press.Google Scholar
  44. Lodge, M., & Taber, C. S. (2013). The rationalizing voter. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  45. Lynch, J., & Gollust, S. E. (2010). Playing fair: Fairness beliefs and health policy preferences in the United States. Journal of Health Politics, Policy and Law, 35(6), 849–887.CrossRefGoogle Scholar
  46. Mutz, D. C. (1994). Contextualizing personal experience: The role of mass media. The Journal of Politics, 56(3), 689–714.CrossRefGoogle Scholar
  47. Nelson, T. (2011). Issue framing. In R. Y. Shapiro & L. Jacobs (Eds.), The Oxford Handbook of American Public Opinion and the Media (pp. 189–203). New York: Oxford University Press.Google Scholar
  48. Nelson, T. E., Clawson, R. A., & Oxley, Z. M. (1997). Media framing of a civil liberties conflict and its effect on tolerance. American Political Science Review, 91(3), 567–583.CrossRefGoogle Scholar
  49. Noel, H. (2014). Political ideologies and political parties in America. New York: Cambridge University Press.Google Scholar
  50. Nyhan, B. (2010). Why the “Death Panel” myth wouldn’t die: Misinformation in the health care reform debate. The Forum, 8(1), 1–24.CrossRefGoogle Scholar
  51. Payne, S. L. (1951). The art of asking questions. Princeton, NJ: Princeton University Press.Google Scholar
  52. Porter, M. F. (1980). An algorithm for suffix stripping. Program: Electronic Library and Information Systems, 14(3), 130–137.CrossRefGoogle Scholar
  53. Prior, M. (2007). Post-broadcast democracy: How media choice increases inequality in political involvement and polarizes elections. New York: Cambridge University Press.CrossRefGoogle Scholar
  54. Quinn, K. M., Monroe, B. L., Colaresi, M., Crespin, M. H., & Radev, D. R. (2010). How to analyze political attention with minimal assumptions and costs. American Journal of Political Science, 54(1), 209–228.CrossRefGoogle Scholar
  55. Roberts, M. E., Stewart, B. M., Tingley, D., Lucas, C., Leder-Luis, J., Gadarian, S. K., et al. (2014). Structural topic models for open-ended survey responses. American Journal of Political Science, 58(4), 1064–1082.CrossRefGoogle Scholar
  56. Scherer, M. (2010). The White House scrambles to Tame the news cyclone. Time March 4.Google Scholar
  57. Scheufele, D. A., & Iyengar, S. (2012). The state of framing research: A call for new directions. In K. Kenski & K. H. Jamieson (Eds.), The Oxford handbook of political communication theories (pp. 1–26). New York: Oxford University Press.Google Scholar
  58. Shapiro, R. Y., & Jacobs, L. (2010). Simulating representation: Elite mobilization and political power in health care reform. The Forum, 8(1), 1–15.CrossRefGoogle Scholar
  59. Slothuus, R., & de Vreese, C. H. (2010). Political parties, motivated reasoning, and issue framing effects. Journal of Politics, 72(3), 630–645.CrossRefGoogle Scholar
  60. Smith, M. A. (2007). The right talk: How conservatives transformed the great society into the economic society. Princeton, NJ: Princeton University Press.Google Scholar
  61. Sniderman, P. M., & Theriault, S. M. (2004). The structure of political argument and the logic of issue framing. Studies in Public Opinion: Attitudes, Nonattitudes, Measurement Error, and Change (pp. 133–65). Princeton, NJ: Princeton University Press.Google Scholar
  62. Steinhauer, J., & Pear, R. (2011). G.O.P. Newcomers set out to undo Obama victories. New York Times.Google Scholar
  63. Taber, C. S., & Lodge, M. (2006). Motivated skepticism in the evaluation of political beliefs. American Journal of Political Science, 50(3), 755–769.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Department of Political Science and Leonard Davis Institute of Health EconomicsUniversity of PennsylvaniaPhiladelphiaUSA

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