scholarly journals Mad cows, mad corn and mad communities: the role of socio-cultural factors in the perceived risk of genetically-modified food

2002 ◽  
Vol 61 (1) ◽  
pp. 31-37 ◽  
Author(s):  
Melissa L. Finucane
Keyword(s):  
Cultural Differences ◽  
Perceived Risk ◽  
New Technologies ◽  
Genetically Modified ◽  
Special Focus ◽  
Genetically Modified Food ◽  
Cultural Groups ◽  
Gm Food ◽  
The Usa

The rapid globalization of the world economy has increased the need for a knowledge base of reliable socio-cultural differences in perceptions, values and ways of thinking about new food technologies. Awareness of socio-cultural differences is important because collaborative efforts to deal with food hazards presuppose some understanding of where, how and why the viewpoints of various stakeholders may differ. In the present paper factors that influence public perceptions of genetically-modified (GM) food are discussed, with a special focus on the unique circumstances of populations in the USA, Europe and developing countries. It is argued that effective communication and decision making about the risk of GM food depends critically on understanding how socio-cultural groups differ in their values and in the way they deal with the risks and benefits of new technologies. The implications of psychological aspects of perceived risk (including the roles of qualitative dimensions of risk, world views and trust) for public acceptance of new food technologies are highlighted.

scholarly journals The role of international organizations in the spread of genetically modified food

2012 ◽  
pp. 29-38
Author(s):  
Tatjana Papic-Brankov ◽  
Koviljko Lovre
Keyword(s):  
International Organizations ◽  
Agricultural Research ◽  
Genetically Modified ◽  
Genetically Modified Food ◽  
Gm Food ◽  
Food And Agriculture ◽  
Scientific Institutions ◽  
Consultative Group ◽  
Gm Plant

Numerous international organizations on the direct or indirect way influence the diffusion of genetically modified (GM) food. Particularly important role in this process play a World Bank (WB), World Trade Organization (WTO), Consultative Group for International Agricultural Research (CGIAR), the Organization for Food and Agriculture United Nations (FAO UN), various international foundations, universities and other scientific institutions. The paper concludes that taking in consideration, inequality of diffusion recognizing GM plant culture, ignoring the interests of poor farmers and countries, restrictions on technology transfer and general domination of the private sector, certain international organizations are trying to reconcile interest of multinational companies and the needs of the poor.

Correcting Misperceptions About Genetically Modified Food on Social Media: Examining the Impact of Experts, Social Media Heuristics, and the Gateway Belief Model

2020 ◽  
pp. 107554702098137
Author(s):  
Leticia Bode ◽  
Emily K. Vraga ◽  
Melissa Tully
Keyword(s):  
Social Media ◽  
Food Safety ◽  
Genetically Modified ◽  
Human Consumption ◽  
Genetically Modified Food ◽  
The Public ◽  
Scientific Consensus ◽  
Gm Food ◽  
Belief Model ◽  
The Impact

We experimentally test whether expert organizations on social media can correct misperceptions of the scientific consensus on the safety of genetically modified (GM) food for human consumption, as well as what role social media cues, in the form of “likes,” play in that process. We find expert organizations highlighting scientific consensus on GM food safety reduces consensus misperceptions among the public, leading to lower GM misperceptions and boosting related consumption behaviors in line with the gateway belief model. Expert organizations’ credibility may increase as a result of correction, but popularity cues do not seem to affect misperceptions or credibility.

Debunking Misinformation About Genetically Modified Food Safety on Social Media: Can Heuristic Cues Mitigate Biased Assimilation?

2021 ◽  
pp. 107554702110220
Author(s):  
Yuan Wang
Keyword(s):  
Social Media ◽  
Food Safety ◽  
Experimental Design ◽  
Genetically Modified ◽  
Genetically Modified Food ◽  
Gm Food ◽  
Social Endorsement ◽  
Biased Assimilation ◽  
Source Cues

Focusing on debunking misinformation about genetically modified (GM) food safety in a social media context, this study examines whether source cues and social endorsement cues interact with individuals’ preexisting beliefs about GM food safety in influencing misinformation correction effectiveness. Using an experimental design, this study finds that providing corrective messages can effectively counteract the influence of misinformation, especially when the message is from an expert source and receives high social endorsements. Participants evaluate misinformation and corrective messages in a biased way that confirms their preexisting beliefs about GM food safety. However, their initial misperceptions can be reduced when receiving corrective messages.

Cultural Differentials Modify Change

2014 ◽  
Vol 3 (2) ◽  
pp. 50-79 ◽  
Author(s):  
Mambo G. Mupepi ◽  
Patience Taruwinga
Keyword(s):  
Regression Analysis ◽  
Cultural Differences ◽  
Risk Taking ◽  
Perceived Risk ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Organizational Vision ◽  
Performance Orientation ◽  
Perceived Success ◽  
The Usa

A mixed research methodology was deployed to show that cultural differences and perceived risk-taking must be considered in charting competences in advancing household enterprises in the Southern African Development Communities and the USA. The consequences were that triumphant households were those that took cognizance of multiculturalism in assessing and measuring performance. Multiple Linear Regression analysis demonstrated that capacity must be customized to suit organizational vision and that the vital predictor of perceived success in the USA was performance orientation while uncertainty avoidance topped the list in the SADC. Results indicate that diversity was understood in all successful enterprises.

scholarly journals Are consumers loyal to genetically modified food? Evidence from Australia

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fazlul K. Rabbanee ◽  
Tanzim Afroz ◽  
Mostafa Mahmud Naser
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Genetically Modified ◽  
Policy Implications ◽  
Genetically Modified Food ◽  
Consumer Loyalty ◽  
Repurchase Intention ◽  
Content Type ◽  
Gm Food ◽  
Parsimonious Model

PurposeGenetically modified (GM) food has received considerable interest from academics and practitioners. However, research on consumer loyalty towards GM food is relatively sparse. Guided by the theory of planned behaviour, this study aims to explore the factors that influence consumer repurchase intention and behavioural loyalty towards GM food.Design/methodology/approachData were collected from 464 Australian consumer panel members surveyed through a nationwide online survey, with data analysed by structural equation modelling using AMOS (v. 22.0).FindingsThe findings reveal that consumer loyalty towards GM food is influenced by the interplay between awareness of benefits and risks, situational and social influences and attitude and repurchase intention. Female consumers are found to not only possess a relatively more favourable attitude and repurchase intention, but also are more loyal towards GM food compared to male consumers. Unlike older consumers, younger consumers' loyalty towards GM food is influenced by their attitude and repurchase intention. The relevant policy implications of the findings are discussed.Practical implicationsAs consumers have contrasting views about GM food, to influence their loyalty, it is important for GM food industries as well as policy makers to better understand how to address consumers' varying concerns about GM food.Originality/valueThis study offers a parsimonious model for explaining the factors that influence consumer loyalty towards GM food.

scholarly journals Labeling of genetically modified food: Closer to reality in the United States?

2013 ◽  
Vol 32 (1) ◽  
pp. 73-84 ◽  
Author(s):  
Anton E. Wohlers
Keyword(s):  
United States ◽  
Genetically Modified ◽  
The United States ◽  
Food Labeling ◽  
Genetically Modified Food ◽  
Policy Debate ◽  
Gm Food ◽  
Regulatory Changes ◽  
Gm Animals ◽  
Near Future

Within the broader context of several related biotech developments, including the proliferation of GM food in American grocery stories, the recent decision by Whole Foods Market, Inc. to require the labeling of all genetically modified (GM) organism products sold in its stores by 2018, and the development of GM animals for consumption, this essay asks whether the United States is inching towards a policy of mandatory GM food labeling. The analysis highlights aspects of the biotechnology policy debate in the United States and European Union, and traces public opinion as well as grassroots and legislative efforts aimed at GM food labeling. Findings show that activities at the federal level do not suggest any major regulatory changes regarding labeling in the near future; however, a growing number of individual states are considering GM food labeling legislation and political momentum in favor of labeling has picked up in recent years. Voluntary labeling by food companies may also become increasingly common.

Consumer-perceived risk model for the introduction of genetically modified food in Spain

Food Policy ◽  
2009 ◽  
Vol 34 (6) ◽  
pp. 519-528 ◽  
Author(s):  
Africa Martinez-Poveda ◽  
Margarita Brugarolas Molla-Bauza ◽  
Francisco Jose del Campo Gomis ◽  
Laura Martinez-Carrasco Martinez
Keyword(s):  
Perceived Risk ◽  
Risk Model ◽  
Genetically Modified ◽  
Genetically Modified Food

scholarly journals Microblog credibility indicators regarding misinformation of genetically modified food on Weibo

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252392
Author(s):  
Jiaojiao Ji ◽  
Naipeng Chao ◽  
Shitong Wei ◽  
George A. Barnett
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Science Communication ◽  
Predictive Power ◽  
Genetically Modified ◽  
Public Understanding ◽  
Supervised Machine Learning ◽  
Genetically Modified Food ◽  
The Public ◽  
Gm Food

The considerable amount of misinformation on social media regarding genetically modified (GM) food will not only hinder public understanding but also mislead the public to make unreasoned decisions. This study discovered a new mechanism of misinformation diffusion in the case of GM food and applied a framework of supervised machine learning to identify effective credibility indicators for the misinformation prediction of GM food. Main indicators are proposed, including user identities involved in spreading information, linguistic styles, and propagation dynamics. Results show that linguistic styles, including sentiment and topics, have the dominant predictive power. In addition, among the user identities, engagement, and extroversion are effective predictors, while reputation has almost no predictive power in this study. Finally, we provide strategies that readers should be aware of when assessing the credibility of online posts and suggest improvements that Weibo can use to avoid rumormongering and enhance the science communication of GM food.

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