The promise and peril of real-time corrections to political misperceptions

Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Volumn , Issue , 2013, Pages 1047-1057

  Kelly Garrett, R ^a   Weeks, Brian E ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

Credibility; Learning; Misinformation

Indexed keywords

COMPUTER SCIENTISTS; CREDIBILITY; FACTUAL INFORMATION; INACCURATE INFORMATION; LEARNING; MISINFORMATION; POLITICAL INFORMATION; REAL-TIME CORRECTIONS;

INTERACTIVE COMPUTER SYSTEMS; ONLINE SYSTEMS;

COMPUTER SUPPORTED COOPERATIVE WORK;

EID: 84874921470     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2441776.2441895     Document Type: Conference Paper

References (54)

1. Baum, M. and Groeling, T. Shot by the Messenger: Partisan Cues and Public Opinion Regarding National Security and War. Political Behavior, 31, 2 (2009), 157-186.
2. Berinsky, A.J. The Birthers Are Back. http://today.yougov.com/news/2012/ 02/03/birthers-areback/.
3. Bizer, G.Y., Tormala, Z.L., Rucker, D.D. and Petty, R.E. Memory-based versus on-line processing: Implications for attitude strength. Journal of Experimental Social Psychology, 42, 5 (2006), 646- 653.
4. Bordia, P., DiFonzo, N., Haines, R. and Chaseling, E. Rumors Denials as Persuasive Messages: Effects of Personal Relevance, Source, and Message Characteristics. Journal of applied social psychology, 35, 6 (2005), 1301-1331.
5. Brossard, D. and Nisbet, M.C. Deference to Scientific Authority Among a Low Information Public: Understanding U.S. Opinion on Agricultural Biotechnology. International Journal of Public Opinion Research, 19, 1 (2007), 24-52.
6. Bullock, J.G. Experiments on partisanship and public opinion: Party cues, false beliefs, and Bayesian updating Ph.D. Dissertation, Stanford University, Stanford, CA, 2007.
7. Bullock, J.G. Partisan Bias and the Bayesian Ideal in the Study of Public Opinion. Journal of Politics, 71, 3 (2009), 1109-1124.
8. Byrne, S. and Hart, P.S. The 'boomerang' effect: A synthesis of findings and a preliminary theoretical framework. Communication Yearbook, 33 (2009), 3- 37.
9. Cohen, G.L., Aronson, J. and Steele, C.M. When Beliefs Yield to Evidence: Reducing Biased Evaluation by Affirming the Self. Personality and Social Psychology Bulletin, 26, 9 (2000), 1151-1164.
10. Diakopoulus, N., De Choudhury, M. and Naaman, M., Finding and Assessing Social Media Information Sources in the Context of Journalism. In Proc. Conference on Human Factors in Computing Systems (CHI), ACM (2012).
11. Diakopoulus, N., Goldenberg, S. and Essa, I., Videolyzer: Quality Analysis of Online Informational Video for Bloggers and Journalists In Proc. Conference on Human Factors in Computing Systems (CHI), ACM Press (2009).
12. Druckman, J.N. and Bolsen, T. Framing, Motivated Reasoning, and Opinions About Emergent Technologies. Journal of Communication, 61, 4 (2011), 659-688.
13. Ennals, R., Byler, D., Agosta, J.M. and Rosario, B., What is disputed on the web? In Proceedings of the 4th workshop on Information credibility, ACM (2010), 67- 74.
14. Ennals, R., Trushkowsky, B. and Agosta, J.M., Highlighting disputed claims on the web. In Proceedings of the 19th international conference on World wide web, ACM (2010), 341-350.
15. Freedman, J.L. and Sears, D.O. Warning, distraction, and resistance to influence. Journal of Personality and Social Psychology, 1, 3 (1965), 262-266.
16. Garrett, R.K. Troubling consequences of online political rumoring. Human Communication Research, 37, 2 (2011), 255-274.
17. Garrett, R.K., Carnahan, D. and Lynch, E. A turn toward avoidance? Selective exposure to online political information, 2004-2008. Political Behavior (2011), 1-22.
18. Gentzkow, M. and Shapiro, J.M. Media bias and reputation. Journal of Political Economy, 114 (2006), 280-316.
19. Gerber, A. and Green, D. Misperceptions about perceptual bias. Annual Review of Political Science, 2, 1 (1999), 189-210.
20. Harris Interactive/HealthDay. Vaccine-Autism Link: Sound Science or Fraud? . http://www.harrisinteractive.com/newsroom/pressreleases/tabid/446/mid/ 1506/articleid/674/ctl/readcustom%20default/default.aspx.
21. Hayes, A.F., Preacher, K.J. and Myers, T.A. Mediation and the Estimation of Indirect Effects in Political Communication Research. in Bucy, E.P. and Holbert, R.L. eds. Sourcebook for Political Communication Research: Methods, Measures, and Analytical Techniques, Routledge, New York, 2011, 434-465.
22. Hemingway, M. Lies, damned lies, and 'fact checking' The Weekly Standard, 2011.
23. Katz, J.E. Struggle in cyberspace: fact and friction in the World Wide Web. Annals of the American Academy of Political and Social Science, 560, 1 (1998), 194-199.
24. Kriplean, T., Morgan, J.T., Freelon, D., Borning, A. and Bennett, L., ConsiderIt: improving structured public deliberation. In Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems, ACM (2011), 1831-1836.
25. Kuklinski, J.H., Quirk, P.J., Jerit, J., Schwieder, D. and Rich, R.F. Misinformation and the Currency of Democratic Citizenship. The Journal of Politics, 62, 03 (2000), 790-816.
26. Lapinski, M.K. and Boster, F.J. Modeling the egodefensive function of attitudes. Communication Monographs, 68, 3 (2001), 314-324.
27. Lavine, H., Burgess, D., Snyder, M., Transue, J., Sullivan, J.L., Haney, B. and Wagner, S.H. Threat, Authoritarianism, and Voting: An Investigation of Personality and Persuasion. Personality and Social Psychology Bulletin, 25, 3 (1999), 337-347.
28. Leskovec, J., Backstrom, L. and Kleinberg, J., Memetracking and the dynamics of the news cycle. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, ACM Press (2009), 497-506.
29. Lord, C.G., Ross, L. and Lepper, M.R. Biased assimilation and attitude polarization: the effects of prior theories on subsequently considered evidence. Journal of Personality and Social Psychology, 37, 11 (1979), 2098-2109.
30. Lupia, A. and McCubbins, M.D. The Democratic Dilemma. Cambridge University Press, Cambridge, 1998.
31. MacCoun, R.J. and Paletz, S. Citizens' Perceptions of Ideological Bias in Research on Public Policy Controversies. Political Psychology, 30, 1 (2009), 43- 65.
32. Maibach, E.W., Roser-Renouf, C. and Leiserowitz, A. Communication and Marketing As Climate Change- Intervention Assets: A Public Health Perspective. American Journal of Preventive Medicine, 35, 5 (2008), 488-500.
33. Moser, S.C. Communicating climate change: history, challenges, process and future directions. Wiley Interdisciplinary Reviews: Climate Change, 1, 1 (2010), 31-53.
34. Munson, S.A. and Resnick, P., Presenting Diverse Political Opinions: How and How Much. In CHI 2010 (2010).
35. Murakami, K., Nichols, E., Mizuno, J., Watanabe, Y., Masuda, S., Goto, H., Ohki, M., Sao, C., Matsuyoshi, S., Inui, K. and Matsumoto, Y., Statement map: reducing web information credibility noise through opinion classification. In Proceedings of the fourth workshop on Analytics for noisy unstructured text data, ACM Press (2010), 59-66.
36. Napper, L., Harris, P. and Epton, T. Developing and Testing a Self-affirmation Manipulation. Self and Identity, 8, 1 (2009), 45-62.
37. Nisbet, M.C. and Scheufele, D.A. What's next for science communication? Promising directions and lingering distractions. American Journal of Botany, 96, 10 (2009), 1767-1778.
38. Nyhan, B. and Reifler, J. Opening the Political Mind?: The effects of self-affirmation and graphical information on factual misperceptions, 2011.
39. Nyhan, B. and Reifler, J. When Corrections Fail: The persistence of political misperceptions. Political Behavior, 32, 2 (2010), 303-330.
40. Ott, M., Choi, Y., Cardie, C. and Hancock, J.T., Finding deceptive opinion spam by any stretch of the imagination. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1, Association for Computational Linguistics (2011), 309-319.
41. Park, S., Kang, S., Chung, S. and Song, J., NewsCube: delivering multiple aspects of news to mitigate media bias. In Proceedings of the 27th international conference on Human factors in computing systems, ACM (2009), 443-452.
42. Ratkiewicz, J., Conover, M., Meiss, M., Gonçalves, B., Patil, S., Flammini, A. and Menczer, F., Detecting and Tracking the Spread of Astroturf Memes in Microblog Streams. In Proceedings of the 20th international conference companion on World wide web (2010), 249-252.
43. Redlawsk, D.P. Hot Cognition or Cool Consideration? Testing the Effects of Motivated Reasoning on Political Decision Making. Journal of Politics, 64, 4 (2002), 1021-1044.
44. Redlawsk, D.P., Civettini, A.J.W. and Emmerson, K.M. The Affective Tipping Point: Do Motivated Reasoners Ever "Get It"? Political Psychology, 31, 4 (2010), 563-593.
45. Schneider, J., Groza, T. and Passant, A. A Review of Argumentation for the Social Semantic Web. Sematic Web journal, 4, 3 (to appear 2013).
46. Schwarz, N., Sanna, L.J., Skurnik, I. and Yoon, C. Metacognitive Experiences and the Intricacies of Setting People Straight: Implications for Debiasing and Public Information Campaigns. in Zanna, M.P. ed. Advances in experimental social psychology, Academic Press, 2007, 127-161.
47. Seifert, C.M. The continued influence of misinformation in memory: What makes a correction effective? in Brian, H.R. ed. Psychology of Learning and Motivation, Academic Press, 2002, 265-292.
48. Simmons, M.P., Adamic, L. and Adar, E., Memes Online: Extracted, Subtracted, Injected, and Recollected. In Fifth International AAAI Conference on Weblogs and Social Media (2011).
49. Stempel, C., Hargrove, T. and Stempel III, G.H. Media use, social structure, and belief in 9/11 conspiracy theories. Journalism & Mass Communication Quarterly, 84, 2 (2007), 353-372.
50. Sunstein, C.R. On rumors: how falsehood spread, why we believe them, what can be done. Farrar, Strauss and Giroux, New York, NY, 2009.
51. Taber, C.S. and Lodge, M. Motivated Skepticism in the Evaluation of Political Beliefs. American Journal of Political Science, 50, 3 (2006), 755-769.
52. van Koningsbruggen, G.M., Das, E. and Roskos- Ewoldsen, D.R. How self-affirmation reduces defensive processing of threatening health information: Evidence at the implicit level. Health Psychology, 28, 5 (2009), 563-568.
53. Wemple, E. The Maddow-Politifact clash The Washington Post, Washington, DC, 2012.
54. Zaller, J.R. The nature and origins of mass opinion. Cambridge University Press, New York, 1992.