Rose, Kathleen M. (author), Howell, Emily L. (author), Su, Leona Yi-Fan (author), Xenos, Michael A. (author), Brossard, Dominique (author), and Scheufele, Dietram A. (author)
Format:
Online journal article
Publication Date:
2019
Published:
SAGE Journals
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 32 Document Number: D10600
19 pages., via online journal., The impact of knowledge on public attitudes toward scientific issues remains unclear, due in part to ill-defined differences in how research designs conceptualize knowledge. Using genetically modified foods as a framework, we explore the impacts of perceived familiarity and factual knowledge, and the moderating roles of media attention and a food-specific attitudinal variable (food consciousness), in shaping these relationships. Based on the differential effects on “negative attitudes” toward genetically modified foods, we provide further evidence that the measures of knowledge are separate concepts and argue against a one-dimensional view of scientific knowledge. We discuss implications for understanding the relationship between knowledge and science attitudes.
20 pages., via online journal., This article analyses whether different institutional sources of scientific information have an impact on its credibility. Through a population-based survey experiment of a national representative sample of the Spanish public, we measure the credibility that citizens attribute to scientific information on the evolution of CO2 emissions disclosed by different institutional sources (business associations, government, non-government environmental organisations, international bodies and national research institutions). The findings show that an institutional credibility gap exists in science communication. We also investigate the factors accounting for the credibility of the different institutional sources by examining variables related to knowledge, interest, trust, reputation, deference, attitudes, values and personal characteristics. Exploratory regression analyses reveal that identical variables can produce different effects on the credibility of scientific information, depending on the institutional source to which it is attributed.
