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1.
Nat Hum Behav ; 4(10): 989-990, 2020 10.
Article in English | MEDLINE | ID: mdl-32451480
2.
Nat Hum Behav ; 3(3): 251-256, 2019 03.
Article in English | MEDLINE | ID: mdl-30953007

ABSTRACT

There is widespread agreement among scientists that genetically modified foods are safe to consume1,2 and have the potential to provide substantial benefits to humankind3. However, many people still harbour concerns about them or oppose their use4,5. In a nationally representative sample of US adults, we find that as extremity of opposition to and concern about genetically modified foods increases, objective knowledge about science and genetics decreases, but perceived understanding of genetically modified foods increases. Extreme opponents know the least, but think they know the most. Moreover, the relationship between self-assessed and objective knowledge shifts from positive to negative at high levels of opposition. Similar results were obtained in a parallel study with representative samples from the United States, France and Germany, and in a study testing attitudes about a medical application of genetic engineering technology (gene therapy). This pattern did not emerge, however, for attitudes and beliefs about climate change.


Subject(s)
Food, Genetically Modified , Health Knowledge, Attitudes, Practice , Public Opinion , Self-Assessment , Adult , Female , France , Germany , Humans , Knowledge , Male , Middle Aged , United States
3.
Annu Rev Nutr ; 38: 459-479, 2018 08 21.
Article in English | MEDLINE | ID: mdl-29801421

ABSTRACT

Genetically engineered food has had its DNA, RNA, or proteins manipulated by intentional human intervention. We provide an overview of the importance and regulation of genetically engineered food and lay attitudes toward it. We first discuss the pronaturalness context in the United States and Europe that preceded the appearance of genetically engineered food. We then review the definition, prevalence, and regulation of this type of food. Genetically engineered food is widespread in some countries, but there is great controversy worldwide among individuals, governments, and other institutions about the advisability of growing and consuming it. In general, life scientists have a much more positive view of genetically engineered food than laypeople. We examine the bases of lay opposition to genetically engineered food and the evidence for how attitudes change. Laypeople tend to see genetically engineered food as dangerous and offering few benefits. We suggest that much of the lay opposition is morally based. One possibility is that, in some contexts, people view nature and naturalness as sacred and genetically engineered food as a violation of naturalness. We also suggest that for many people these perceptions of naturalness and attitudes toward genetically engineered food follow the sympathetic magical law of contagion, in which even minimal contact between a natural food and an unnatural entity, either a scientist or a piece of foreign DNA, pollutes or contaminates the natural entity and renders it unacceptable or even immoral to consume.


Subject(s)
Animals, Genetically Modified , Attitude , Plants, Genetically Modified , Animals , Europe , Humans , Plants, Edible/genetics , United States
4.
Perspect Psychol Sci ; 11(3): 315-24, 2016 05.
Article in English | MEDLINE | ID: mdl-27217243

ABSTRACT

Public opposition to genetic modification (GM) technology in the food domain is widespread (Frewer et al., 2013). In a survey of U.S. residents representative of the population on gender, age, and income, 64% opposed GM, and 71% of GM opponents (45% of the entire sample) were "absolutely" opposed-that is, they agreed that GM should be prohibited no matter the risks and benefits. "Absolutist" opponents were more disgust sensitive in general and more disgusted by the consumption of genetically modified food than were non-absolutist opponents or supporters. Furthermore, disgust predicted support for legal restrictions on genetically modified foods, even after controlling for explicit risk-benefit assessments. This research suggests that many opponents are evidence insensitive and will not be influenced by arguments about risks and benefits.


Subject(s)
Food, Genetically Modified , Health Knowledge, Attitudes, Practice , Morals , Adult , Female , Humans , Male , Middle Aged , United States
6.
Psychol Sci ; 25(10): 1955-9, 2014 Oct.
Article in English | MEDLINE | ID: mdl-25143431

ABSTRACT

Perceptual processes generally enhance borders, because of their high information value. Mach bands are an example in vision. In the social world, borders are also of special significance; one side of a border is generally more esteemed or valued than the other. We claim that entities (individuals, groups) that are just over the border on the positive side tend to exaggerate their membership on the positive side (asymmetrical social Mach bands). We demonstrate this by showing that (a) master's-degree universities use the word university to describe themselves more than major graduate universities do, (b) small international airports use the word international to describe themselves more than major airports do, and (c) University of Pennsylvania students, who are affiliated with a "marginal" Ivy League school, use the word Ivy to describe their school more than Harvard students do.


Subject(s)
Airports , Language , Social Identification , Students , Universities , Humans
7.
Psychol Sci ; 25(5): 1106-15, 2014 May 01.
Article in English | MEDLINE | ID: mdl-24659192

ABSTRACT

Five university-based research groups competed to recruit forecasters, elicit their predictions, and aggregate those predictions to assign the most accurate probabilities to events in a 2-year geopolitical forecasting tournament. Our group tested and found support for three psychological drivers of accuracy: training, teaming, and tracking. Probability training corrected cognitive biases, encouraged forecasters to use reference classes, and provided forecasters with heuristics, such as averaging when multiple estimates were available. Teaming allowed forecasters to share information and discuss the rationales behind their beliefs. Tracking placed the highest performers (top 2% from Year 1) in elite teams that worked together. Results showed that probability training, team collaboration, and tracking improved both calibration and resolution. Forecasting is often viewed as a statistical problem, but forecasts can be improved with behavioral interventions. Training, teaming, and tracking are psychological interventions that dramatically increased the accuracy of forecasts. Statistical algorithms (reported elsewhere) improved the accuracy of the aggregation. Putting both statistics and psychology to work produced the best forecasts 2 years in a row.


Subject(s)
Forecasting , Psychological Techniques/education , Adult , Algorithms , Bias , Female , Humans , Interpersonal Relations , Judgment , Male , Probability , Social Behavior
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