Educated Millennials and Credence Attributes of Food Products with Genetically Modified Organisms: Knowledge, Trust and Social Media
Carlo Russo; Mariarosaria Simeone; Maria Angela Perito · 2020 · Sustainability
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
In this paper, we investigated educated millennials’ evaluation of credence attributes in food products containing genetically modified organisms (GMO products). Our goal is to assess whether beliefs about GMO products are determined by scientific knowledge alone or if they are affected by other factors such as trust in information providers and use of social media. The focus on millennials is motivated by the increasing relevance of this social group in the public debate and by their extensive use of social media. We surveyed a sample of 215 Italian college students, confronting them with que
Abstract by Carlo Russo; Mariarosaria Simeone; Maria Angela Perito, Sustainability (2020) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Catastrophic Natural Disasters and Economic Growth
Negative / Null Result ReportBrain anomalies in children exposed prenatally to a common organophosphate pesticide
Negative / Null Result ReportPhylogenomic Insights into the Evolution of Stinging Wasps and the Origins of Ants and Bees
Negative / Null Result ReportSpecies Richness and the Temporal Stability of Biomass Production: A New Analysis of Recent Biodiversity Experiments
Negative / Null Result ReportNew Insight into the History of Domesticated Apple: Secondary Contribution of the European Wild Apple to the Genome of Cultivated Varieties
Negative / Null Result ReportIncreasing Crop Diversity Mitigates Weather Variations and Improves Yield Stability
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.3390/su12208534