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Documentary films can increase nationwide interest in plant-based food

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  • thomas, anna
  • Mathur, Maya B
  • Hope, Jessica Elizabeth

    (Stanford University School of Medicine)

Abstract

Plant-based diets can help mitigate climate change. We investigated longitudinal effects of popular media that encourage plant-based diets from diverse perspectives, including health, environment, and animal welfare. We systematically searched for the most popular such media, which were all films. In initial correlational analyses, Google search interest for the films explained the majority (73%) of variance in search interest for plant-based food, but was not associated with consumption of meat or of plant-based alternatives. In primary analyses using pre-registered causal inference models that controlled for confounding, we estimated that each 1-SD increase in search interest for the health-focused films What the Health (2017), The Game Changers (2018), and You Are What You Eat (2024) increased search interest in plant-based food by 43%, 11%, and 11% respectively in the following week. These results can inform communication approaches for ongoing efforts of governments and other organizations encouraging sustainable diets.

Suggested Citation

  • thomas, anna & Mathur, Maya B & Hope, Jessica Elizabeth, 2024. "Documentary films can increase nationwide interest in plant-based food," OSF Preprints yh94d, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:yh94d
    DOI: 10.31219/osf.io/yh94d
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    References listed on IDEAS

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    1. Kristina Gligorić & Arnaud Chiolero & Emre Kıcıman & Ryen W. White & Robert West, 2022. "Population-scale dietary interests during the COVID-19 pandemic," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    2. Blackwell, Matthew & Glynn, Adam N., 2018. "How to Make Causal Inferences with Time-Series Cross-Sectional Data under Selection on Observables," American Political Science Review, Cambridge University Press, vol. 112(4), pages 1067-1082, November.
    3. Hu, T.-W. & Sung, H.-Y. & Keeler, T.E., 1995. "Reducing cigarette consumption in California: Tobacco taxes vs an anti- smoking media campaign," American Journal of Public Health, American Public Health Association, vol. 85(9), pages 1218-1222.
    4. Jacobsen, Grant D., 2011. "The Al Gore effect: An Inconvenient Truth and voluntary carbon offsets," Journal of Environmental Economics and Management, Elsevier, vol. 61(1), pages 67-78, January.
    5. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    6. Hong Liu & Wei Tan, 2009. "The Effect of Anti-Smoking Media Campaign on Smoking Behavior: The California Experience," Annals of Economics and Finance, Society for AEF, vol. 10(1), pages 29-47, May.
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