How laypeople understand the tentativeness of medical research news in the media: An experimental study on the perception of information about deep brain stimulation

Science Communication

Volumn 37, Issue 2, 2015, Pages 173-189

  Kimmerle, Joachim ^a,b   Flemming, Danny ^a   Feinkohl, Insa ^a   Cress, Ulrike ^a,b  

^a KNOWLEDGE MEDIA RESEARCH CENTER   (Germany)

^b UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

Health communication; Health news; Medical research; Scientific uncertainty; Tentativeness

Indexed keywords

EID: 84954214595     PISSN: 10755470     EISSN: 15528545     Source Type: Journal    
DOI: 10.1177/1075547014556541     Document Type: Article

References (52)

1. Baram-Tsabari, A., & Lewenstein, B. V. (2013). An instrument for assessing scientists’ written skills in public communication of science. Science Communication, 35, 56-85
2. Bientzle, M., Cress, U., & Kimmerle, J. (2013). How students deal with inconsistencies in health knowledge. Medical Education, 47, 683-690
3. Bientzle, M., Cress, U., & Kimmerle, J. (2014). Epistemological beliefs and therapeutic health concepts of physiotherapy students and professionals. BMC Medical Education, 14, 208
4. Brodie, M., Hamel, E. C., Altman, D. E., Blendon, R. J., & Benson, J. M. (2003). Health news and the American public, 1996-2002. Journal of Health Politics, Policy and Law, 28, 927-950
5. Bromme, R., & Goldman, S. R. (2014). The public’s bounded understanding of science. Educational Psychologist, 49, 59-69
6. Brossard, D., & Shanahan, J. (2006). Do they know what they read? Building a scientific literacy measurement instrument based on science media coverage. Science Communication, 28, 47-63
7. Buehl, M. M., & Alexander, P. A. (2001). Beliefs about academic knowledge. Educational Psychology Review, 13, 385-418
8. Burakgazi, S. G., & Yildirim, A. (2014). Accessing science through media: Uses and gratifications among fourth and fifth graders for science learning. Science Communication, 36, 168-193
9. Chandler, M., Boyes, M., & Ball, L. (1990). Relativism and stations of epistemic doubt. Journal of Experimental Child Psychology, 50, 370-395
10. Clark, D. (2009). Framing effects exposed. New York, NY: Pearson Education.
11. Clausen, J. (2009). Man, machine and in between. Nature, 457, 1080-1081
12. Clausen, J. (2011). Conceptual and ethical issues with brain-hardware interfaces. Current Opinion in Psychiatry, 24, 495-501
13. Deuschl, G., Schade-Brittinger, C., Krack, P., Volkmann, J., Schäfer, H., Bötzel, K., & Al, E. (2006). A randomized trial of deep-brain stimulation for Parkinson’s disease. New England Journal of Medicine, 355, 896-908
14. Ditto, P. H., & Lopez, D. F. (1992). Motivated skepticism: Use of differential decision criteria for preferred and nonpreferred conclusions. Journal of Personality and Social Psychology, 63, 568-584
15. Dunwoody, S., & Griffin, R. J. (2013). Statistical reasoning in journalism education. Science Communication, 35, 528-538
16. Fogarty, A. S., Holland, K., Imison, M., Blood, R. W., Chapman, S., & Holding, S. (2011). Communicating uncertainty: How Australian television reported H1N1 risk in 2009: A content analysis. BMC Public Health, 11, 181
17. Friedman, S. M., Dunwoody, S., & Rogers, C. L. (1999). Communicating uncertainty: Media coverage of new and controversial science. New York, NY: Erlbaum.
18. Gilbert, F., & Ovadia, D. (2011). Deep brain stimulation in the media: Over-optimistic portrayals call for a new strategy involving journalists and scientists in ethical debates. Frontiers in Integrative Neurosciences, 5, 16
19. Gowda, C., Schaffer, S. E., Dombkowski, K. J., & Dempsey, A. F. (2012). Understanding attitudes toward adolescent vaccination and the decision-making dynamic among adolescents, parents and providers. BMC Public Health, 12, 509
20. Haigh, F., Baum, F., Dannenberg, A. L., Harris, M. F., Harris-Roxas, B., Keleher, Harris, E. (2013). The effectiveness of health impact assessment in influencing decision-making in Australia and New Zealand 2005-2009. BMC Public Health, 13, 1118
21. Herculano-Houzel, S. (2002). Do you know your brain? A survey on public neuroscience literacy at the closing of the decade of the brain. Neuroscience, 8, 98-110
22. Hofer, B. K., & Pintrich, P. R. (1997). The development of epistemological theories: Beliefs about knowledge and knowing and their relation to learning. Review of Educational Research, 67, 88-140
23. Jain, J., Abdullah, N., & Lim, B. K. (2014). The tentativeness of scientific theories: A study of views from different educational levels in Malaysia. In International Conference on Science Education 2012 Proceedings (pp. 59-71). Heidelberg, Germany: Springer.
24. Jensen, J. D. (2008). Scientific uncertainty in news coverage of cancer research: Effects of hedging on scientists and journalists credibility. Human Communication Research, 34, 347-369
25. Kardash, C. M., & Howell, K. L. (2000). Effects of epistemic beliefs and topicspecific beliefs on undergraduates’ cognitive and strategic processing of dualpositional text. Journal of Educational Psychology, 92, 524-535
26. Kienhues, D., & Bromme, R. (2012). Exploring laypeople’s epistemic beliefs about medicine: A factor-analytic survey study. BMC Public Health, 12, 759
27. Kimmerle, J., & Cress, U. (2013). The effects of TV and film exposure on knowledge about and attitudes toward mental disorders. Journal of Community Psychology, 41, 931-943
28. Kimmerle, J., Cress, U., & Hesse, F. W. (2007). An interactional perspective on group awareness: Alleviating the information-exchange dilemma (for everybody?). International Journal of Human-Computer Studies, 65, 899-910
29. Kimmerle, J., Gerbing, K.-K., Cress, U., & Thiel, A. (2012). Exchange of complementary and alternative medical knowledge in sport-related Internet fora. Sociology of Sport Journal, 29, 348-364
30. Kimmerle, J., Thiel, A., Gerbing, K.-K., Bientzle, M., Halatchliyski, I., & Cress, U. (2013). Knowledge construction in an outsider community: Extending the communities of practice concept. Computers in Human Behavior, 29, 1078-1090
31. Knight, L. V., & Mattick, K. (2006). “When I first came here, I thought medicine was black and white”: Making sense of medical students’ ways of knowing. Social Science & Medicine, 63, 1084-1096
32. Kunda, Z. (1990). The case for motivated reasoning. Psychological Bulletin, 108, 480-498
33. Lederman, N. G., & O’Malley, M. (1990). Students’ perceptions of tentativeness in science: Development, use, and sources of change. Science Education, 74, 225-239
34. McCauley, M., Minsky, S., & Viswanath, K. (2013). The H1N1 pandemic: Media frames, stigmatization and coping. BMC Public Health, 13, 1116
35. Muis, K. R., Bendixen, L. D., & Haerle, F. C. (2006). Domain-generality and domainspecificity in personal epistemology research: Philosophical and empirical reflections in the development of a theoretical framework. Educational Psychology Review, 18, 3-54
36. Overskaug, K., Rokne, A., & Steffensen, M. (2014). The “intelligent layman” and science communication in Norwegian public places. Science Communication, 36, 388-395
37. Petty, R. E., Cacioppo, J. T., & Haugtvedt, C. P. (1992). Ego-involvement and persuasion: An appreciative look at the Sherif’s contribution to the study of selfrelevance and attitude change. In D. Granberg & G. Sarup (Eds.), Social judgment and intergroup relations (pp. 147-174). New York, NY: Springer.
38. Racine, E., Waldman, S., Palmour, N., Risse, D., & Illes, J. (2007). “Currents of hope”: Neurostimulation techniques in U.S. and U.K. print media. Cambridge Quarterly of Healthcare Ethics, 16, 312-316
39. Roex, A., & Degryse, J. (2007). Introducing the concept of epistemological beliefs into medical education: The hot-air-balloon metaphor. Academic Medicine, 82, 616-620
40. Sapp, S. G., Korsching, P. F., Arnot, C., & Wilson, J. J. (2013). Science communication and the rationality of public opinion formation. Science Communication, 35, 734-757
41. Scharrer, L., Bromme, R., Britt, M. A., & Stadtler, M. (2012). The seduction of easiness: How science depictions influence laypeople’s reliance on their own evaluation of scientific information. Learning and Instruction, 22, 231-243
42. Schlaepfer, T. E., & Lieb, K. (2005). Deep brain stimulation for treatment of refractory depression. Lancet, 366, 21-23
43. Schwan, S., Grajal, A., & Lewalter, D. (2014). Understanding and engagement in places of science experience: Science museums, science centers, zoos, and aquariums. Educational Psychologist, 49, 70-85
44. 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, 123-138
45. Stahl, E., & Bromme, R. (2007). The CAEB: An instrument for measuring connotative aspects of epistemological beliefs. Learning and Instruction, 17, 773-785
46. Stewart, C. O. (2013). The influence of news frames and science background on attributions about embryonic and adult stem cell research frames as heuristic/biasing cues. Science Communication, 35, 86-114
47. Thomm, E., & Bromme, R. (2012). “It should at least seem scientific!” Textual features of “scientificness” and their impact on lay assessments of online information. Science Education, 96, 187-211
48. Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211, 453-458.
49. van Deemter, K. (2010). Not exactly: In praise of vagueness. Oxford, England: Oxford University Press.
50. van Walraven, C., & Hart, R. G. (2008). Leave ’em alone: Why continuous variables should be analyzed as such. Neuroepidemiology, 30, 138-139
51. Vedam-Mai, V., Gardner, B., Okun, M. S., Siebzehnrubl, F. A., Kam, M., Aponso, P., Curtis, M. A. (2014). Increased precursor cell proliferation after deep brain stimulation for Parkinson’s disease: A human study. PloS One, 9, e88770
52. Wilson, T. D., & Hodges, S. D. (1992). Attitudes as temporary constructions. In L. L. Martin & A. Tesser (Eds.), The construction of social judgments (pp. 37-65). Hillsdale, NJ: Erlbaum.