IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v39y2019i8p1657-1674.html
   My bibliography  Save this article

Experiments in Lay Cues to the Relative Validity of Positions Taken by Disputing Groups of Scientists

Author

Listed:
  • Branden B. Johnson

Abstract

Risk analysis and hazard management can prompt varied intra‐scientific disputes, some which have or will become public, and thus potentially available for lay judgments of the relative validity of the positions taken. As attentive laypeople may include elites as well as the general public, understanding whether and how cues to credibility of disputing groups of scientists might shape those lay judgments can be important. Relevant literatures from philosophy, social studies of science, risk analysis, and elsewhere have identified potential cues, but not tested their absolute or relative effects. Two experiments with U.S. online panel members tested multiple cues (e.g., credentials, experience, majority opinions, research quality) across topics varying in familiarity subject to actual intra‐science disputes (dark matter, marijuana, sea‐level rise). If cues supported a position, laypeople were more likely to choose it as relatively more valid, with information quality, majority “vote,” experience, and degree source as the strongest, and interest, demographic, and values similarity as the weakest, cues. These results were similar in overall rankings to those from implicit rankings of cue reliability ratings from an earlier U.S. online survey. Proposed moderators were generally nonsignificant, but topic familiarity and subjective topic knowledge tended to reduce cue effects. Further research to confirm and extend these findings can inform both theory about citizen engagement with scientific and risk disputes, and practice in communication about science and risk.

Suggested Citation

  • Branden B. Johnson, 2019. "Experiments in Lay Cues to the Relative Validity of Positions Taken by Disputing Groups of Scientists," Risk Analysis, John Wiley & Sons, vol. 39(8), pages 1657-1674, August.
  • Handle: RePEc:wly:riskan:v:39:y:2019:i:8:p:1657-1674
    DOI: 10.1111/risa.13298
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/risa.13298
    Download Restriction: no

    File URL: https://libkey.io/10.1111/risa.13298?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Dan M. Kahan & Hank Jenkins-Smith & Donald Braman, 2011. "Cultural cognition of scientific consensus," Journal of Risk Research, Taylor & Francis Journals, vol. 14(2), pages 147-174, February.
    2. Nathan F. Dieckmann & Robin Gregory & Ellen Peters & Robert Hartman, 2017. "Seeing What You Want to See: How Imprecise Uncertainty Ranges Enhance Motivated Reasoning," Risk Analysis, John Wiley & Sons, vol. 37(3), pages 471-486, March.
    3. Lusk, Jayson L., 2004. "United States and European Consumer Demand for Genetically Modified Food in an Experimental Market," Purdue Agricultural Economics Report 188880, Purdue University, Department of Agricultural Economics.
    4. T. Earle & M. Siegrist, 2008. "Trust, Confidence and Cooperation model: a framework for understanding the relation between trust and Risk Perception," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 8(1/2), pages 17-29.
    5. Sander L van der Linden & Anthony A Leiserowitz & Geoffrey D Feinberg & Edward W Maibach, 2015. "The Scientific Consensus on Climate Change as a Gateway Belief: Experimental Evidence," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-8, February.
    6. Mathew P. White & Branden B. Johnson, 2010. "The Intuitive Detection Theorist (IDT) Model of Trust in Hazard Managers," Risk Analysis, John Wiley & Sons, vol. 30(8), pages 1196-1209, August.
    7. Branden B. Johnson, 2003. "Further Notes on Public Response to Uncertainty in Risks and Science," Risk Analysis, John Wiley & Sons, vol. 23(4), pages 781-789, August.
    8. House, Lisa & Lusk, Jayson L. & Jaeger, Sara & Traill, W. Bruce & Moore, Melissa & Valli, Carlotta & Morrow, Bert & Yee, Wallace M.S., 2004. "Objective And Subjective Knowledge: Impacts On Consumer Demand For Genetically Modified Foods In The United States And The European Union," 2004 Annual meeting, August 1-4, Denver, CO 20125, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kazuya Nakayachi & Branden B. Johnson & Kazuki Koketsu, 2018. "Effects of Acknowledging Uncertainty about Earthquake Risk Estimates on San Francisco Bay Area Residents’ Beliefs, Attitudes, and Intentions," Risk Analysis, John Wiley & Sons, vol. 38(4), pages 666-679, April.
    2. Yang Yang & Jill E. Hobbs, 2020. "How Do Cultural Worldviews Shape Food Technology Perceptions? Evidence from a Discrete Choice Experiment," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(2), pages 465-492, June.
    3. Shapiro, Matthew A., 2020. "Next-generation battery research and development: Non-politicized science at the Joint Center for Energy Storage Research," Energy Policy, Elsevier, vol. 145(C).
    4. Andrew Knight, 2007. "Intervening Effects of Knowledge, Morality, Trust, and Benefits on Support for Animal and Plant Biotechnology Applications," Risk Analysis, John Wiley & Sons, vol. 27(6), pages 1553-1563, December.
    5. Kaneko, Naoya & Chern, Wen S., 2006. "Identification of Consumer Segments and Its Implication on the Willingness-to-Pay Distribution: The Case of Demand for Non-Genetically Modified Vegetable Oil in the United States," 2006 Annual meeting, July 23-26, Long Beach, CA 21194, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Costa-Font, Montserrat & Gil, José M. & Traill, W. Bruce, 2008. "Consumer acceptance, valuation of and attitudes towards genetically modified food: Review and implications for food policy," Food Policy, Elsevier, vol. 33(2), pages 99-111, April.
    7. Damien Rousselière & Samira Rousselière, 2010. "On the impact of trust on consumer willingness to purchase GM food:Evidence from a European survey," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 91(1), pages 5-26.
    8. Hyun Joo Kwon & Mira Ahn & Jiyun Kang, 2021. "The Effects of Knowledge Types on Consumer Decision Making for Non-Toxic Housing Materials and Products," Sustainability, MDPI, vol. 13(19), pages 1-14, October.
    9. Fockaert, Lysander & Mathijs, Erik & Vranken, Liesbet, 2021. "Local Support for Agri-Environmental Measures and the Role of Knowledge and Environmental Attitudes," 2021 Conference, August 17-31, 2021, Virtual 315153, International Association of Agricultural Economists.
    10. Hasan Fehmi Topal & Dexter V. L. Hunt & Christopher D. F. Rogers, 2021. "Exploring Urban Sustainability Understanding and Behaviour: A Systematic Review towards a Conceptual Framework," Sustainability, MDPI, vol. 13(3), pages 1-33, January.
    11. Salazar-Ordóñez, M. & Rodríguez-Entrena, M. & Becerra-Alonso, D., 2014. "Willingness to purchase Genetically Modified food: an analysis applying artificial Neural Networks," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182937, European Association of Agricultural Economists.
    12. Albert Ayorinde Abegunde, 2017. "Local communities’ belief in climate change in a rural region of Sub-Saharan Africa," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(4), pages 1489-1522, August.
    13. Branden B. Johnson & Adam M. Finkel, 2016. "Public Perceptions of Regulatory Costs, Their Uncertainty and Interindividual Distribution," Risk Analysis, John Wiley & Sons, vol. 36(6), pages 1148-1170, June.
    14. Lawrence C. Hamilton, 2016. "Public Awareness of the Scientific Consensus on Climate," SAGE Open, , vol. 6(4), pages 21582440166, November.
    15. Kubitzki, S. & Henseleit, M. & Herrmann, R., 2010. "Informationsgewinn und Markttransparenz durch Labeling? – Eine kritische Würdigung der neuen Lebensmittelkennzeichnung „Ohne Gentechnik“," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 45, March.
    16. Hyun Joung Jin & Dae Hee Han, 2019. "College Students’ Experience of a Food Safety Class and Their Responses to the MSG Issue," IJERPH, MDPI, vol. 16(16), pages 1-13, August.
    17. Donoghue, Suné & Wilken-Jonker, Ina & Steffens, Francois E. & Kirsten, Johann F., 2021. "South African consumers' willingness to pay a premium for Karoo Lamb: The influence of subjective and objective knowledge, label information and demographics," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    18. Linda Ferrari, 2022. "Farmers' attitude toward CRISPR/Cas9: The case of blast resistant rice," Agribusiness, John Wiley & Sons, Ltd., vol. 38(1), pages 175-194, January.
    19. Omid M. Ghoochani & Mansour Ghanian & Masoud Baradaran & Erfan Alimirzaei & Hossein Azadi, 2018. "Behavioral intentions toward genetically modified crops in Southwest Iran: a multi-stakeholder analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(1), pages 233-253, February.
    20. P. Marijn Poortvliet & Anne Marike Lokhorst, 2016. "The Key Role of Experiential Uncertainty when Dealing with Risks: Its Relationships with Demand for Regulation and Institutional Trust," Risk Analysis, John Wiley & Sons, vol. 36(8), pages 1615-1629, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:riskan:v:39:y:2019:i:8:p:1657-1674. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.