Literature DB >> 26346339

Public perceptions of expert disagreement: Bias and incompetence or a complex and random world?

Nathan F Dieckmann1, Branden B Johnson2, Robin Gregory2, Marcus Mayorga3, Paul K J Han4, Paul Slovic3.   

Abstract

Expert disputes can present laypeople with several challenges including trying to understand why such disputes occur. In an online survey of the US public, we used a psychometric approach to elicit perceptions of expert disputes for 56 forecasts sampled from seven domains. People with low education, or with low self-reported topic knowledge, were most likely to attribute disputes to expert incompetence. People with higher self-reported knowledge tended to attribute disputes to expert bias due to financial or ideological reasons. The more highly educated and cognitively able were most likely to attribute disputes to natural factors, such as the irreducible complexity and randomness of the phenomenon. Our results show that laypeople tend to use coherent-albeit potentially overly narrow-attributions to make sense of expert disputes and that these explanations vary across different segments of the population. We highlight several important implications for scientists, risk managers, and decision makers.

Entities:  

Keywords:  attribution; expert disagreement; forecasting; public beliefs

Mesh:

Year:  2015        PMID: 26346339     DOI: 10.1177/0963662515603271

Source DB:  PubMed          Journal:  Public Underst Sci        ISSN: 0963-6625


  6 in total

Review 1.  Overcoming randomness does not rule out the importance of inherent randomness for functionality.

Authors:  Yaron Ilan
Journal:  J Biosci       Date:  2019-12       Impact factor: 1.826

2.  Attacking science on social media: How user comments affect perceived trustworthiness and credibility.

Authors:  Lukas Gierth; Rainer Bromme
Journal:  Public Underst Sci       Date:  2019-12-05

3.  Why do scientists disagree? Explaining and improving measures of the perceived causes of scientific disputes.

Authors:  Nathan F Dieckmann; Branden B Johnson
Journal:  PLoS One       Date:  2019-02-07       Impact factor: 3.240

Review 4.  Constraints and Affordances of Online Engagement With Scientific Information-A Literature Review.

Authors:  Friederike Hendriks; Elisabeth Mayweg-Paus; Mark Felton; Kalypso Iordanou; Regina Jucks; Maria Zimmermann
Journal:  Front Psychol       Date:  2020-12-08

5.  The Role of Type and Source of Uncertainty on the Processing of Climate Models Projections.

Authors:  Daniel M Benjamin; David V Budescu
Journal:  Front Psychol       Date:  2018-03-27

6.  Risk Communication During COVID-19.

Authors:  Elissa M Abrams; Matthew Greenhawt
Journal:  J Allergy Clin Immunol Pract       Date:  2020-04-15
  6 in total

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