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Social acceptance of genetic engineering technology
Katherine E Koralesky1, Lara V Sirovica1, Jillian Hendricks1
1Faculty of Land and Food Systems, Animal Welfare Program, The University of British Columbia, Vancouver. British Columbia, Canada.
Plos One
|August 16, 2023
Summary
Public acceptance of genetic engineering (GE) in animals hinges on perceived benefits, not the information source or terminology. Trust influences acceptance indirectly by shaping views on benefits and risks.
Area of Science:
- Agricultural Science
- Biotechnology
- Social Science
Background:
- Public acceptance of animal genetic engineering (GE) is crucial for societal applications but remains unclear.
- Previous research indicates that information source, terminology (e.g., genome editing vs. genetic modification), and application type influence acceptance.
- Understanding public perception is vital for the responsible development and deployment of GE technologies.
Purpose of the Study:
- To investigate the social acceptance of genetic engineering (GE) in farm animals.
- To analyze the influence of information source, terminology, and application type on GE acceptance.
- To examine the role of causal trust and acceptability models in understanding public perception of GE.
Main Methods:
- Conducted three mixed-method surveys employing a causal trust-acceptability model.
- Utilized structural equation modeling to confirm model fit across surveys.
- Analyzed participant understanding and terminology used for DNA-altering technologies.
Main Results:
- Perceived benefits consistently had the greatest impact on acceptance across all surveys.
- Social trust indirectly influenced acceptance via perceived benefits and risks.
- Information source and terminology showed minimal effect on acceptance; animal applications were perceived as less beneficial than plant applications.
Conclusions:
- Perceived benefits are the primary driver of public acceptance for animal genetic engineering.
- Trust in actors and technologies, alongside a weighing of benefits and risks, informs acceptability judgments.
- Future research should focus on context-specific acceptability measures for animal GE and employ inductive frameworks.
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