Consumer Opinions about Genetically Engineered Salmon and Information Effect on Opinions
A Qualitative Approach
Bibliographic Data
| ID | 6219580 |
|---|---|
| Authors | Wei Qin (0000-0002-9199-966X, Pennsylvania State University, University Park,, corresponding author), Jayne Brown (0000-0002-9489-1654, Pennsylvania State University), J Lynne Brown (Pennsylvania State University, University Park) |
| Year | 2006 |
| Volume | 28 |
| Issue | 2 |
| Pages | 243-272 |
| Publication date | 2006-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Science Communication (JOURNAL) |
| Journal identifiers | ISSN: 1075-5470 • E-ISSN: 1552-8545 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/1075547006294770 |
| OpenAlex | W1973523437 |
| Language | EN |
| Citations received | 7 |
| References cited | 35 |
American consumers remain uninformed about genetically engineered (GE) foods, raising the prospect of their rejection based on outrage rather than risk. The Food and Drug Administration (FDA) is considering introduction of GE salmon into the food supply, an animal application likely to raise consumer concerns. As the first step in designing balanced information to help consumers reach informed opinions about GE salmon, we held eleven focus group discussions to compare the effect of limited (six groups) and detailed (five groups) information on the participants’ formulated consequences of this GE application. The results suggested that an effective communication piece about a specific GE application should contain basic and specific, including process- and product-related, information to help the recipient formulate consequences, and hence, opinions. It should also incorporate multiple viewpoints on certain and uncertain consequences to increase perceptions of source trustworthiness and help consumers reach informed opinions
Business · Food and drug administration · Genetically engineered · Genetically modified food · Genetically modified organism · Outrage · Political science · Trustworthiness · Viewpoints · Animal Genetics and Reproduction · Climate Change Communication and Perception · Computer Science · Genetically Modified Organisms Research · Law · Psychology · Social Psychology · Marketing
Public perceptions of agri-food applications of genetic modification – A systematic review and meta-analysis
Understanding Public Calls for Labeling of Genetically Modified Foods
Not just about “the science”
Communicating Sensitive Scientific Issues
Cultural Characters and Climate Change
Factors Influencing People’s Acceptance of Gene Technology
Communicative Aspects of the Public-Science Relationship Explored
Public Perceptions of Everyday Food Hazards
Proposed Model of the Relationship of Risk Information Seeking and Processing to the Development of Preventive Behaviors
Facts and Fears
Risk Perception and Communication Unplugged
Presenting Uncertainty in Health Risk Assessment
Public perception of scientific uncertainty in relation to food hazards
Lay views on uncertainty in environmental health risk assessment
Ethical concerns and risk perceptions associated with different applications of genetic engineering
Objection’ mapping in determining group and individual concerns regarding genetic engineering
The influence of initial attitudes on responses to communication about genetic engineering in food production
Consumer perceptions of genetically modified and organic foods. What kind of knowledge matters
Role of Sensory and Cognitive Information in the Enhancement of Certainty and Linking for Novel and Familiar Foods
Consumers» Cognitions With Regard to Genetically Modified Foods. Results of a Qualitative Study in Four Countries
Beyond the knowledge deficit
Consumer attitudes towards genetically modified foods
Dimensions of novelty
Trends
Misplaced Faith
Affect, generalization, and the perception of risk
Public Concerns in the United Kingdom about General and Specific Applications of Genetic Engineering
Context Effects on Judgment under Uncertainty
Consequence Analysis
| Citations per year | 0.44 |
|---|---|
| Citation span | 2010 - 2017 (8) |
| Highly cited | No |