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The effectiveness of misinformation corrective strategies and implications for consumers' food preferences and policy attitudes

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  • Lin Lin
  • David L. Ortega
  • Jiayu Sun

Abstract

This study investigates the effect of food biotechnology misinformation on consumer demand and attitudes toward bioengineered food and tests the effectiveness of pre‐bunking and debunking mitigation strategies. Using choice experiment data from a sample of 1270 U.S. consumers, we find that exposure to misinformation has a significant effect on consumers' food preferences and policy attitudes. We also find that while pre‐bunking is an effective mitigating strategy, debunking by itself is not sufficient. Our findings suggest that preemptively warning consumers about misinformation and the tactics used to spread it is more effective than merely correcting the misinformation afterward.

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  • Lin Lin & David L. Ortega & Jiayu Sun, 2025. "The effectiveness of misinformation corrective strategies and implications for consumers' food preferences and policy attitudes," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 47(1), pages 217-240, March.
    • Handle: RePEc:wly:apecpp:v:47:y:2025:i:1:p:217-240
    DOI: 10.1002/aepp.13487
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    1. Daniele Asioli & Marija Banovic & Ada Maria Barone & Simona Grasso & Rodolfo M. Nayga, 2023. "European consumers' valuation for hybrid meat: Does information matter?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(1), pages 44-62, March.
    2. Ortega, David L. & Sun, Jiayu & Lin, Wen, 2022. "Identity labels as an instrument to reduce meat demand and encourage consumption of plant based and cultured meat alternatives in China," Food Policy, Elsevier, vol. 111(C).
    3. Yang, Yang & Hobbs, Jill E. & Natcher, David C., 2020. "Assessing consumer willingness to pay for Arctic food products," Food Policy, Elsevier, vol. 92(C).
    4. repec:plo:pone00:0175799 is not listed on IDEAS
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, June.
    6. Cecilie S. Traberg & Jon Roozenbeek & Sander van der Linden, 2022. "Psychological Inoculation against Misinformation: Current Evidence and Future Directions," The ANNALS of the American Academy of Political and Social Science, , vol. 700(1), pages 136-151, March.
    7. Kristine M. Grimsrud & Jill J. McCluskey & Maria L. Loureiro & Thomas I. Wahl, 2004. "Consumer Attitudes to Genetically Modified Food in Norway," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(1), pages 75-90, March.
    8. Yang Yang & Jill E. Hobbs, 2020. "The Power of Stories: Narratives and Information Framing Effects in Science Communication," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1271-1296, August.
    9. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    10. Seon-Woong Kim & B. Wade Brorsen & Jayson Lusk, 2018. "Not everybody prefers organic food: unobserved heterogeneity in U.S. consumers’ preference for organic apple and milk," Applied Economics Letters, Taylor & Francis Journals, vol. 25(1), pages 9-14, January.
    11. Baker, Gregory A. & Burnham, Thomas A., 2001. "Consumer Response To Genetically Modified Foods: Market Segment Analysis And Implications For Producers And Policy Makers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(2), pages 1-17, December.
    12. M.M Simelane & M.B Masuku & J.I Rugambisa & D.M Earnshaw, 2016. "Analysis of Consumer Willingness to Pay for Genetically Modified Maize Food in Swaziland," International Journal of Sustainable Agricultural Research, Conscientia Beam, vol. 3(1), pages 19-28.
    13. Riccardo Scarpa & Mara Thiene & Kenneth Train, 2008. "Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 994-1010.
    14. Carlsson, Fredrik & Frykblom, Peter & Johan Lagerkvist, Carl, 2005. "Using cheap talk as a test of validity in choice experiments," Economics Letters, Elsevier, vol. 89(2), pages 147-152, November.
    15. Delmond, Anthony R. & McCluskey, Jill J. & Yormirzoev, Mirzobobo & Rogova, Maria A., 2018. "Russian consumer willingness to pay for genetically modified food," Food Policy, Elsevier, vol. 78(C), pages 91-100.
    16. Costa-Font, Montserrat & Gil, José M. & Traill, W. Bruce, 2008. "Consumer acceptance, valuation of and attitudes towards genetically modified food: Review and implications for food policy," Food Policy, Elsevier, vol. 33(2), pages 99-111, April.
    17. Belton, Cameron A. & Sugden, Robert, 2018. "Attention and novelty: An experimental investigation of order effects in multiple valuation tasks," Journal of Economic Psychology, Elsevier, vol. 67(C), pages 103-115.
    18. Anabela Botelho & Ligia Costa Pinto, 2002. "Hypothetical, real, and predicted real willingness to pay in open-ended surveys: experimental results," Applied Economics Letters, Taylor & Francis Journals, vol. 9(15), pages 993-996.
    19. M.M. Simelane & M.B. Masuku & J.I. Rugambisa & D.M. Earnshaw, 2016. "Analysis of Consumer Willingness to Pay for Genetically Modified Maize Food in Swaziland," International Journal of Sustainable Agricultural Research, Conscientia Beam, vol. 3(1), pages 19-28.
    20. Riccardo Scarpa & Kenneth G. Willis & Melinda Acutt, 2007. "Valuing externalities from water supply: Status quo, choice complexity and individual random effects in panel kernel logit analysis of choice experiments," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 50(4), pages 449-466.
    21. Andrew Daly & Stephane Hess & Kenneth Train, 2012. "Assuring finite moments for willingness to pay in random coefficient models," Transportation, Springer, vol. 39(1), pages 19-31, January.
    22. Loureiro, Maria L. & Hine, Susan, 2004. "Preferences and willingness to pay for GM labeling policies," Food Policy, Elsevier, vol. 29(5), pages 467-483, October.
    23. Matthews, Yvonne & Scarpa, Riccardo & Marsh, Dan, 2017. "Stability of Willingness-to-Pay for Coastal Management: A Choice Experiment Across Three Time Periods," Ecological Economics, Elsevier, vol. 138(C), pages 64-73.
    24. Vincenzina Caputo & Riccardo Scarpa, 2022. "Methodological Advances in Food Choice Experiments and Modeling: Current Practices, Challenges, and Future Research Directions," Annual Review of Resource Economics, Annual Reviews, vol. 14(1), pages 63-90, October.
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