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Better Negative than Positive? Evidence of a Bias for Negative Information about Possible Health Dangers

Siegrist, Michael, Cvetkovich, George·2001·Risk Analysis

Abstract

Do the results of a scientific study influence confidence in the study's validity and the magnitude of change in the resulting perceived danger of the health risk investigated? Findings from the three investigations reported here indicate that scientific results that confirm a danger (negative results) do affect confidence in a study's validity and resulting risk assessments differently than results indicating low risk (positive results). Findings of Study 1 revealed that research results indicating a health risk were more trusted than results indicating little health risk. This effect was independent of the credibility of the information source. Study 2 demonstrated that confidence in research results increased with an increasing indication of health risk. Study 3 showed that people have more confidence in the results of animal tests on a food additive indicating negative human health effects than in animal tests indicating that a food additive is harmless. The findings have important practical implications. The observed asymmetry between positive and negative research results may be one reason that people are afraid of many of the hazards they are faced with in modern society.

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Metadata

Authors
Siegrist, M., & Cvetkovich, G.
Venue
Risk Analysis
Publisher
Wiley
Published
2001-02
Volume
21
Issue
1
Pages
199-206
ISSN
  • 0272-4332 (ISSN-L)
  • 1539-6924
OpenAlex
W2072399592
Cited by
199
References
0
FWCI
13.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Better Negative than Positive? Evidence of a Bias for Negative Information about Possible Health Dangers. https://app.cochat.ai/papers/10.1111/0272-4332.211102
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Siegrist, M., & Cvetkovich, G. (2001). Better Negative than Positive? Evidence of a Bias for Negative Information about Possible Health Dangers. Risk Analysis. https://doi.org/10.1111/0272-4332.211102

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.