How source information shapes lay interpretations of science conflicts: interplay between sourcing, conflict explanation, source evaluation, and claim evaluation
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When laypeople read controversial scientific information in order to make a personally relevant decision, information on the source is a valuable resource with which to evaluate multiple, competing claims. Due to their bounded understanding, laypeople rely on the expertise of others and need to identify whether sources are credible. The present study examined under which conditions readers acknowledge and consider available source information. University students read two conflicting scientific claims put forward by sources whose credibility was varied in terms of either expertise or benevolence. They then rated their subjective explanations for the conflicting claims, perceived source credibility, and personal claim agreement. Results showed that when evaluating and explaining the conflict, participants became vigilant to source information specifically when source credibility was questioned. Conflict explanation through differences in sources’ competencies mediated the impact of sourcing on source credibility. Information about a source’s benevolence revealed a strong direct effect on credibility judgments. However, motivation explanations did not clarify the relationship. Overall, findings show that readers consider source information and apply it adaptively when handling conflicting scientific information.
KeywordsSourcing Conflict explanation Scientific conflicts Conflict evaluation
This research was supported by the Deutsche Forschungsgemeinschaft (DFG), Grant BR 1126/6-2. We would like to thank Fritz Klinkemeyer and Teresa Bartsch for their support in data gathering, and Jonathan Harrow for advice in language editing.
- Besely, J. (2014). Science and technology: Public attitudes and understanding. In National Science Board (Ed.), Science and engineering indicators 2014 (pp. 1–53). Arlington, VA: National Science Foundation (NSB 14-01).Google Scholar
- Britt, M. A., & Rouet, J.-F. (2012). Learning with multiple documents: Component skills and their acquisition. In J. R. Kirby & M. J. Lawson (Eds.), Enhancing the quality of learning: Dispositions, instruction, and learning processes (pp. 276–314). New York, NY: Cambridge University Press.CrossRefGoogle Scholar
- Bromme, R., Kienhues, D., & Porsch, T. (2010). Who knows what and who can we believe? Epistemological beliefs are beliefs about knowledge (mostly) attained from others. In L. D. Bendixen & F. C. Feucht (Eds.), Personal epistemology in the classroom: Theory, research, and implications for practice (pp. 163–193). Cambridge: Cambridge University Press. doi: 10.1017/CBO9780511691904.006.CrossRefGoogle Scholar
- Bromme, R., Thomm, E., & Wolf, V. (2015). From understanding to deference: Laypersons’ and medical students’ views on conflicts within medicine. International Journal of Science Education, Part B: Communication and Public Engagement, 5(1), 68–91. doi: 10.1080/21548455.2013.849017.CrossRefGoogle Scholar
- Castell, S., Charlton, A., Clemence, M., Pettigrew, N., Pope, S., Quigley, A., et al. (2014). Public attitudes to science 2014. London: Ipsos Mori. Retrieved from https://www.ipsos-mori.com/Assets/Docs/Polls/pas-2014-main-report.pdf.
- Chen, S., & Chaiken, S. (1999). The Heuristic-Systematic Model in its broader context. In S. Chaiken & Y. Trope (Eds.), Dual-process theories in social psychology (pp. 73–96). New York, NY: Guilford.Google Scholar
- Field, A. P. (2009). Discovering statistics using SPSS: And sex and drugs and rock ‘n’ roll (3rd ed.). London: Sage.Google Scholar
- Fox, S. (2005). Health information online. Washington, DC: Pew Internet & American Life Project.Google Scholar
- Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford Press.Google Scholar
- Longino, H. E. (2002). The fate of knowledge. Princeton, NJ: Princeton University Press.Google Scholar
- O’Keefe, D. J. (2002). Persuasion: Theory and research (2nd ed.). Thousand Oaks, CA: Sage.Google Scholar
- Perfetti, C. A., Rouet, J.-F., & Britt, M. A. (1999). Toward a theory of documents representation. In H. van Oostendorp & S. R. Goldman (Eds.), The construction of mental representations during reading (pp. 99–122). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
- Rouet, J.-F., & Britt, M. A. (2011). Relevance processes in multiple document comprehension. In M. T. McCrudden, J. P. Magliano, & G. Schraw (Eds.), Text relevance and learning from text (pp. 19–52). Greenwich, CT: Information Age Publishing.Google Scholar
- Stadtler, M., & Bromme, R. (2014). The content–source integration model: A taxonomic description of how readers comprehend conflicting scientific information. In D. N. Rapp & J. Braasch (Eds.), Processing inaccurate information: Theoretical and applied perspectives from cognitive science and the educational sciences (pp. 379–402). Cambridge, MA: MIT Press.Google Scholar
- Tabak, I. (2015). Functional scientific literacy: Seeing the science within the words and across the web. In L. Corno & E. M. Anderman (Eds.), Handbook of educational psychology (3rd ed., pp. 269–280). London: Routledge.Google Scholar