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Social acceptance of genetic engineering technology

Genetic engineering of animals has been proposed to address societal problems, but public acceptance of the use of this technology is unclear. Previous work has shown that the source of information proposing the technology (e.g. companies, universities), the term used to describe the technology (e.g...

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Autores principales: Koralesky, Katherine E., Sirovica, Lara V., Hendricks, Jillian, Mills, Katelyn E., von Keyserlingk, Marina A. G., Weary, Daniel M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431645/
https://www.ncbi.nlm.nih.gov/pubmed/37585415
http://dx.doi.org/10.1371/journal.pone.0290070
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author Koralesky, Katherine E.
Sirovica, Lara V.
Hendricks, Jillian
Mills, Katelyn E.
von Keyserlingk, Marina A. G.
Weary, Daniel M.
author_facet Koralesky, Katherine E.
Sirovica, Lara V.
Hendricks, Jillian
Mills, Katelyn E.
von Keyserlingk, Marina A. G.
Weary, Daniel M.
author_sort Koralesky, Katherine E.
collection PubMed
description Genetic engineering of animals has been proposed to address societal problems, but public acceptance of the use of this technology is unclear. Previous work has shown that the source of information proposing the technology (e.g. companies, universities), the term used to describe the technology (e.g. genome editing, genetic modification), and the genetic engineering application (e.g. different food products) affects technology acceptance. We conducted three mixed-method surveys and used a causal trust-acceptability model to understand social acceptance of genetic engineering (GE) by investigating 1) the source of information proposing the technology, 2) the term used to describe the technology, and 3) the GE application for farm animals proposed. Further, participants expressed their understanding of technology using a range of terms interchangeably, all describing technology used to change an organism’s DNA. We used structural equation modelling and confirmed model fit for each survey. In each survey, perceptions of benefit had the greatest effect on acceptance. Following our hypothesized model, social trust had an indirect influence on acceptance through similar effects of perceived benefit and perceived risk. Additional quantitative analysis showed that the source of information and technology term had little to no effect on acceptance. Applications involving animals were perceived as less beneficial than a plant application, and an application for increased cattle muscle growth was perceived as more risky than a plant application. When assessing the acceptability of applications participants considered impacts on plants, animals, and people, trust in actors and technologies, and weighed benefits and drawbacks of GE. Future work should consider how to best measure acceptability of GE for animals, consider contextual factors and consider the use of inductive frameworks.
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spelling pubmed-104316452023-08-17 Social acceptance of genetic engineering technology Koralesky, Katherine E. Sirovica, Lara V. Hendricks, Jillian Mills, Katelyn E. von Keyserlingk, Marina A. G. Weary, Daniel M. PLoS One Research Article Genetic engineering of animals has been proposed to address societal problems, but public acceptance of the use of this technology is unclear. Previous work has shown that the source of information proposing the technology (e.g. companies, universities), the term used to describe the technology (e.g. genome editing, genetic modification), and the genetic engineering application (e.g. different food products) affects technology acceptance. We conducted three mixed-method surveys and used a causal trust-acceptability model to understand social acceptance of genetic engineering (GE) by investigating 1) the source of information proposing the technology, 2) the term used to describe the technology, and 3) the GE application for farm animals proposed. Further, participants expressed their understanding of technology using a range of terms interchangeably, all describing technology used to change an organism’s DNA. We used structural equation modelling and confirmed model fit for each survey. In each survey, perceptions of benefit had the greatest effect on acceptance. Following our hypothesized model, social trust had an indirect influence on acceptance through similar effects of perceived benefit and perceived risk. Additional quantitative analysis showed that the source of information and technology term had little to no effect on acceptance. Applications involving animals were perceived as less beneficial than a plant application, and an application for increased cattle muscle growth was perceived as more risky than a plant application. When assessing the acceptability of applications participants considered impacts on plants, animals, and people, trust in actors and technologies, and weighed benefits and drawbacks of GE. Future work should consider how to best measure acceptability of GE for animals, consider contextual factors and consider the use of inductive frameworks. Public Library of Science 2023-08-16 /pmc/articles/PMC10431645/ /pubmed/37585415 http://dx.doi.org/10.1371/journal.pone.0290070 Text en © 2023 Koralesky et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Koralesky, Katherine E.
Sirovica, Lara V.
Hendricks, Jillian
Mills, Katelyn E.
von Keyserlingk, Marina A. G.
Weary, Daniel M.
Social acceptance of genetic engineering technology
title Social acceptance of genetic engineering technology
title_full Social acceptance of genetic engineering technology
title_fullStr Social acceptance of genetic engineering technology
title_full_unstemmed Social acceptance of genetic engineering technology
title_short Social acceptance of genetic engineering technology
title_sort social acceptance of genetic engineering technology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431645/
https://www.ncbi.nlm.nih.gov/pubmed/37585415
http://dx.doi.org/10.1371/journal.pone.0290070
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