Literature DB >> 19751071

Evaluating science arguments: evidence, uncertainty, and argument strength.

Adam Corner1, Ulrike Hahn.   

Abstract

Public debates about socioscientific issues are increasingly prevalent, but the public response to messages about, for example, climate change, does not always seem to match the seriousness of the problem identified by scientists. Is there anything unique about appeals based on scientific evidence-do people evaluate science and nonscience arguments differently? In an attempt to apply a systematic framework to people's evaluation of science arguments, the authors draw on the Bayesian approach to informal argumentation. The Bayesian approach permits questions about how people evaluate science arguments to be posed and comparisons to be made between the evaluation of science and nonscience arguments. In an experiment involving three separate argument evaluation tasks, the authors investigated whether people's evaluations of science and nonscience arguments differed in any meaningful way. Although some differences were observed in the relative strength of science and nonscience arguments, the evaluation of science arguments was determined by the same factors as nonscience arguments. Our results suggest that science communicators wishing to construct a successful appeal can make use of the Bayesian framework to distinguish strong and weak arguments. 2009 APA, all rights reserved

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Year:  2009        PMID: 19751071     DOI: 10.1037/a0016533

Source DB:  PubMed          Journal:  J Exp Psychol Appl        ISSN: 1076-898X


  6 in total

1.  Gaining trust as well as respect in communicating to motivated audiences about science topics.

Authors:  Susan T Fiske; Cydney Dupree
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-15       Impact factor: 11.205

2.  The Einstein effect provides global evidence for scientific source credibility effects and the influence of religiosity.

Authors:  Suzanne Hoogeveen; Julia M Haaf; Joseph A Bulbulia; Robert M Ross; Ryan McKay; Sacha Altay; Theiss Bendixen; Renatas Berniūnas; Arik Cheshin; Claudio Gentili; Raluca Georgescu; Will M Gervais; Kristin Hagel; Christopher Kavanagh; Neil Levy; Alejandra Neely; Lin Qiu; André Rabelo; Jonathan E Ramsay; Bastiaan T Rutjens; Hugh Turpin; Filip Uzarevic; Robin Wuyts; Dimitris Xygalatas; Michiel van Elk
Journal:  Nat Hum Behav       Date:  2022-02-07

Review 3.  The Bayesian boom: good thing or bad?

Authors:  Ulrike Hahn
Journal:  Front Psychol       Date:  2014-08-08

4.  Social values as arguments: similar is convincing.

Authors:  Gregory R Maio; Ulrike Hahn; John-Mark Frost; Toon Kuppens; Nadia Rehman; Shanmukh Kamble
Journal:  Front Psychol       Date:  2014-08-07

5.  Toward an experimental account of argumentation: the case of the slippery slope and the ad hominem arguments.

Authors:  Marco Lillo-Unglaube; Andrés Canales-Johnson; Gorka Navarrete; Claudio Fuentes Bravo
Journal:  Front Psychol       Date:  2014-12-15

Review 6.  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
  6 in total

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