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Personality traits, basic individual values and GMO risk perception of twitter users

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  • Nathaniel Whittingham
  • Andreas Boecker
  • Alexandra Grygorczyk

Abstract

The present study investigates how the most foundational factors to individual differences – personality traits and personal values – affect the perceived safety of genetic modification and their relative importance. Publicly available communication data from 522 Twitter accounts discussing genetically modified foods and their safety was processed in two steps. First, accounts were categorized by the researchers as viewing GM foods as either safe or not safe. Second, using the IBM Watson platform, the Twitter communication data were subjected to lexical analysis to assign scores according to the Five Factor Model for personality traits and Schwartz’s basic individual values to the individual accounts. Logistic regression analyses were performed to determine how perceived GM food safety is linked to personality traits and individual values. Although both traits and values significantly contribute to explaining GM attitudes, personality traits strongly moderate the effect of individual values on risk perception.

Suggested Citation

  • Nathaniel Whittingham & Andreas Boecker & Alexandra Grygorczyk, 2020. "Personality traits, basic individual values and GMO risk perception of twitter users," Journal of Risk Research, Taylor & Francis Journals, vol. 23(4), pages 522-540, April.
    • Handle: RePEc:taf:jriskr:v:23:y:2020:i:4:p:522-540
    DOI: 10.1080/13669877.2019.1591491
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    Cited by:

    1. Houman Hashemzadeh & Alireza Karbasi & Hosein Mohammadi & Ali Firoozzare & Flavio Boccia, 2022. "Investigating the Effect of Nudges on Consumers’ Willingness to Pay for Genetically Modified Corn Oil," Sustainability, MDPI, vol. 14(19), pages 1-18, October.
    2. Yunhwan Kim & Sunmi Lee, 2021. "Personality of Public Health Organizations’ Instagram Accounts and According Differences in Photos at Content and Pixel Levels," IJERPH, MDPI, vol. 18(8), pages 1-15, April.
    3. Zachlod, Cécile & Samuel, Olga & Ochsner, Andrea & Werthmüller, Sarah, 2022. "Analytics of social media data – State of characteristics and application," Journal of Business Research, Elsevier, vol. 144(C), pages 1064-1076.
    4. Tsung-Hung Lee & Fen-Hauh Jan, 2022. "How Does Personality Affect COVID-19 Pandemic Travel Risk Perceptions and Behaviors? Evidence from Segment Analysis in Taiwan," Sustainability, MDPI, vol. 15(1), pages 1-15, December.

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