Understanding knowledge and perceptions of genome editing technologies: a textual analysis of major agricultural stakeholder groups

Robbins, Matthew; Calabrese, Christopher; Featherstone, Jieyu Ding; Barnett, George A.

doi:10.22323/2.20050207

Cited by 4 publications

(3 citation statements)

References 51 publications

(63 reference statements)

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“…A recent review analyzing consumer attitudes toward novel foods produced with new plant engineering techniques (NPETs), including genome editing, highlighted that higher levels of knowledge in science and technology foster the acceptance of NPETs and NPET-derived products. 32 Previous surveys have reported that consumer knowledge of GE foods is generally limited, 10 , 20 and awareness of GE foods varies across different countries. A 2019 survey conducted across all 28 EU member states at that time found that the highest percentage of participants who had heard about GE foods was in Finland (62%) and Estonia (57%), while the lowest percentages were observed in Italy (8%) and Slovakia (8%).…”

Section: Discussionmentioning

confidence: 99%

Providing appropriate information to consumers boosts the acceptability of genome-edited foods in Japan

Taguchi,

Shibata,

Soga

et al. 2023

GM Crops & Food

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The Japanese Health Ministry recently granted permission for the market distribution of genome-edited (GE) foods, yet there remains a lack of full understanding among consumers regarding this technology. In this study, we conducted a survey to assess the acceptability of GE foods among Japanese consumers and examined the impact of providing information about GE foods on their acceptability. We conducted a web-based survey among 3,408 consumers aged 20–69 years, focusing on three aspects: (1) the commercial availability of GE foods, (2) the consumption of GE foods by others, and (3) your own consumption of GE foods. The survey findings revealed that participants were most accepting of the consumption of GE foods by others, followed by their acceptance of GE foods being commercially available. Notably, participants’ acceptance of GE foods increased in all three aspects after they viewed an informative video. The video had a particularly strong impact on participants who fully or partially understood its content, compared to those who did not. Furthermore, regression analyses showed that participants’ understanding of two key areas, namely “Why are GE foods important” and “What procedures are in place to ensure the safety of GE foods,” played a crucial role in increasing acceptability. Overall, these results indicate that providing information about GE foods to Japanese consumers can effectively enhance their acceptance of such foods. The findings highlight the importance of understanding the benefits and safety measures associated with GE foods in influencing consumer attitudes.

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Section: Discussionmentioning

confidence: 99%

Providing appropriate information to consumers boosts the acceptability of genome-edited foods in Japan

Taguchi,

Shibata,

Soga

et al. 2023

GM Crops & Food

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“…Blondel et al (2008) have proposed an algorithm to detect communities based on modularity optimization. Modularity is a community detection statistic that identifies different groups by determining the fraction of the links that fall within a given group (Newman, 2004) and is commonly used in the study of semantic networks Featherstone et al, 2020;Robbins et al, 2021). A threshold value of 0.4 (40% of the edges are within a given community) or above should be obtained for meaningful community identification (Blondel et al, 2008), that is somewhat less than a majority of nodes are tied exclusively to only a subset that excludes others in the network.…”

Section: Community Detectionmentioning

confidence: 99%

“…The frequency of the occurrence of bigrams (pairs of words or symbols) is determined by researchers' selection of the unit of analysis. This may be elements such as individual tweets (Calabrese et al, 2020;Featherstone et al, 2020), websites or online posts (Barnett and Hwang, 2006;Ruiz and Barnett, 2015;Calabrese et al, 2019), emails (Danowski and Edison-Swift, 1985), grammatical units-sentences or paragraphs, open-ended survey responses (Rice and Danowski, 1993;Robbins et al, 2021), textual forms-manuscript titles (Doerfel and Barnett, 1999;, .…”

Section: Introductionmentioning

confidence: 99%

A comparison of three methods to determine the subject matter in textual data

Barnett

Calabrese

Ruiz

2023

Front. Res. Metr. Anal.

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This study compares three different methods commonly employed for the determination and interpretation of the subject matter of large corpuses of textual data. The methods reviewed are: (1) topic modeling, (2) community or group detection, and (3) cluster analysis of semantic networks. Two different datasets related to health topics were gathered from Twitter posts to compare the methods. The first dataset includes 16,138 original tweets concerning HIV pre-exposure prophylaxis (PrEP) from April 3, 2019 to April 3, 2020. The second dataset is comprised of 12,613 tweets about childhood vaccination from July 1, 2018 to October 15, 2018. Our findings suggest that the separate “topics” suggested by semantic networks (community detection) and/or cluster analysis (Ward's method) are more clearly identified than the topic modeling results. Topic modeling produced more subjects, but these tended to overlap. This study offers a better understanding of how results may vary based on method to determine subject matter chosen.

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Exploring diverse food system actor perspectives on gene editing: a systematic review of socio-cultural factors influencing acceptability

Henderson,

Lang,

Kemper

et al. 2023

Agric Hum Values

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Despite the promise of new gene editing technologies (GETs) (e.g., CRISPR) in accelerating sustainable agri-food production, the social acceptability of these technologies remains unclear. Prior literature has primarily addressed the regulatory and economic issues impacting GETs ongoing acceptability, while little work has examined socio-cultural impacts despite evolving food policies and product commercialisation demanding input from various actors in the food system. Our systematic review across four databases addresses this gap by synthesising recent research on food system actors’ perspectives to identify the key socio-cultural factors influencing GET acceptability. This review extends prior literature by including views from a more diverse range of actors (e.g., farmers and NGOs) and provides a better understanding of their perceived social benefits and concerns. We find food system actors perceive positive and negative impacts of using GETs in agriculture. These perspectives are often entangled in broader debates regarding sustainability and food systems issues (e.g., social justice). We discuss practical recommendations for policymakers, agri-food industry managers, and scientists to better align gene edited foods (GEFs) with food system actors’ values. GEF policy, development, and commercialisation must reflect social values such as collective wellbeing and transparency to improve actors’ acceptability. More research is required among marginalised food actors such as Indigenous and smallholder farmers.

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Understanding knowledge and perceptions of genome editing technologies: a textual analysis of major agricultural stakeholder groups

Cited by 4 publications

References 51 publications

Providing appropriate information to consumers boosts the acceptability of genome-edited foods in Japan

Providing appropriate information to consumers boosts the acceptability of genome-edited foods in Japan

A comparison of three methods to determine the subject matter in textual data

Exploring diverse food system actor perspectives on gene editing: a systematic review of socio-cultural factors influencing acceptability

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