Dataset Information

Controversy matters: Impacts of topic and solution controversy on the perceived credibility of a scientist who advocates.

ABSTRACT: In this article, we focus on the potential influence of a scientist's advocacy position on the public's perceived credibility of scientists as a whole. Further, we examine how the scientist's solution position (information only, non-controversial, and controversial) affects the public's perception of the scientist's motivation for sharing information about specific issues (flu, marijuana, climate change, severe weather). Finally, we assess how perceived motivations mediate the relationship between solution position and credibility. Using data from a quota sample of American adults obtained by Qualtrics (n = 2,453), we found that in some conditions advocating for a solution positively predicted credibility, while in one condition, it negatively predicted scientist credibility. We also found that the influence of solution position on perceived credibility was mediated by several motivation perceptions; most notably through perception that the scientist was motivated to: (a) serve the public and (b) persuade the public. Further results and implications are discussed.

SUBMITTER: Beall L

PROVIDER: S-EPMC5685625 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Controversy matters: Impacts of topic and solution controversy on the perceived credibility of a scientist who advocates.

Beall Lindsey L Myers Teresa A TA Kotcher John E JE Vraga Emily K EK Maibach Edward W EW

PloS one 20171114 11

In this article, we focus on the potential influence of a scientist's advocacy position on the public's perceived credibility of scientists as a whole. Further, we examine how the scientist's solution position (information only, non-controversial, and controversial) affects the public's perception of the scientist's motivation for sharing information about specific issues (flu, marijuana, climate change, severe weather). Finally, we assess how perceived motivations mediate the relationship betwe ...[more]

PMID: 29136643

Similar Datasets

Project description:ObjectivesThis study aimed to investigate perceived impacts, ways of communication with professionals and information sources related to COVID-19, and explore whether these impacts or information sources were associated with ethnicity that is, language spoken at home.DesignA cross-sectional study.SettingSydney, Australia during the period from March to October 2020.ParticipantsMothers of young children participating in an existing trial.Outcome measuresMothers were asked to respond to a set of survey questions related to COVID-19 via telephone. The questions included a mental health scale, and how they communicated with health professionals and their information sources related to COVID-19 during the COVID-19 pandemic.ResultsOf 537 mothers who completed the survey (81% response rate), 45% reported they spoke a language other than English at home. Overall, 136 (26%) reported experiencing mental distress. 234 (44%) reported that COVID-19 affected the way they receive and communicate health-related information with health professionals, especially for those from non-English speaking backgrounds with an adjusted odds ratio (AOR) 1.58 (95% CI 1.10 to 2.27). They were less likely to use a face-to-face service (AOR 0.55, 95% CI 0.37 to 0.80) and more likely to use social media (AOR 2.11, 95% CI 1.40 to 3.17) for health-related information. Regarding sources of COVID-19-related information, mothers from non-English-speaking backgrounds were more likely to rely on family members (AOR 1.49, 95% CI 1.01 to 2.19) and social media (AOR 3.34, 95% CI 2.05 to 5.43).ConclusionsCOVID-19 has significantly impacted mothers with young children in regard to their mental health, means of communication with health professionals and sources of health information. Mothers from non-English-speaking communities were less likely to use a face-to-face service, and more likely to seek information from family members and social media. Appropriate health support for non-English-speaking community needs to take these factors into account.Trial registration numberANZCTR:12618001571268.they.

Project description:Producing high economic benefits and high grain yields with limited environmental impacts is crucial for feeding the world's growing population. Yet it remains challenging to improve the performance of one objective without creating unintended consequences for other objectives. This is especially difficult for smallholders navigating a diverse array of environmental and personal demands. This study demonstrates how combining participatory research through the Science and Technology Backyards (STB) approach with Pareto-based ranking modeling can increase smallholder production while also reducing environmental impact. Through an intensive farmer survey in a 1 × 1 km grid in Quzhou County, we demonstrate that farmers engaged in STBs performed better according to multiple objectives (i.e., optimizing overall grain yield, benefit-cost ratio, and GHG emissions, without compromising any one of these objectives) than farmer's not engaged in STBs. Moreover, we used a Pareto optimization approach (OPT) to determine the optimal smallholder scenario. We found that under OPT, grain yield could reach 9.5 t/ha, with a benefit-cost ratio of 2.1, a 100% N recovery efficiency, and 7,395 kg CO2eq ha-1 GHG emissions. With OPT as a final goal, our research team worked with STB farmers to improve economic and environmental outcomes without compromising yield. Our findings demonstrate that no significant difference was obtained between farmers engaged in STBs and these under OPT. Compared with non-STB farmers, STB farmers' grain yield improved by 18%, benefit-cost ratio improved by 26% due to improved N recovery efficiency, and GHG emissions were reduced by 31%. These improvements demonstrate the power of scientist-farmer engagement for optimizing wheat production. Such engagement allows farmers to modify their agronomic practices to more closely match Pareto optimal conditions, thus improving environmental and economic benefits without compromising yield. Our results provide solid evidence of the potential for sustainable wheat production by combining modeling with participatory research.

Dataset Information

Controversy matters: Impacts of topic and solution controversy on the perceived credibility of a scientist who advocates.

Publications

Controversy matters: Impacts of topic and solution controversy on the perceived credibility of a scientist who advocates.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets