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The online competition between pro- and anti-vaccination views

Author

Listed:
  • Neil F. Johnson

    (George Washington University
    George Washington University)

  • Nicolas Velásquez

    (George Washington University)

  • Nicholas Johnson Restrepo

    (George Washington University)

  • Rhys Leahy

    (George Washington University)

  • Nicholas Gabriel

    (George Washington University)

  • Sara El Oud

    (George Washington University)

  • Minzhang Zheng

    (Michigan State University)

  • Pedro Manrique

    (Los Alamos National Laboratory)

  • Stefan Wuchty

    (University of Miami)

  • Yonatan Lupu

    (George Washington University)

Abstract

Distrust in scientific expertise1–14 is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, the causal agent of COVID-19, for example, could amplify outbreaks2–4, as happened for measles in 20195,6. Homemade remedies7,8 and falsehoods are being shared widely on the Internet, as well as dismissals of expert advice9–11. There is a lack of understanding about how this distrust evolves at the system level13,14. Here we provide a map of the contention surrounding vaccines that has emerged from the global pool of around three billion Facebook users. Its core reveals a multi-sided landscape of unprecedented intricacy that involves nearly 100 million individuals partitioned into highly dynamic, interconnected clusters across cities, countries, continents and languages. Although smaller in overall size, anti-vaccination clusters manage to become highly entangled with undecided clusters in the main online network, whereas pro-vaccination clusters are more peripheral. Our theoretical framework reproduces the recent explosive growth in anti-vaccination views, and predicts that these views will dominate in a decade. Insights provided by this framework can inform new policies and approaches to interrupt this shift to negative views. Our results challenge the conventional thinking about undecided individuals in issues of contention surrounding health, shed light on other issues of contention such as climate change11, and highlight the key role of network cluster dynamics in multi-species ecologies15.

Suggested Citation

  • Neil F. Johnson & Nicolas Velásquez & Nicholas Johnson Restrepo & Rhys Leahy & Nicholas Gabriel & Sara El Oud & Minzhang Zheng & Pedro Manrique & Stefan Wuchty & Yonatan Lupu, 2020. "The online competition between pro- and anti-vaccination views," Nature, Nature, vol. 582(7811), pages 230-233, June.
  • Handle: RePEc:nat:nature:v:582:y:2020:i:7811:d:10.1038_s41586-020-2281-1
    DOI: 10.1038/s41586-020-2281-1
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    Citations

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    Cited by:

    1. Fujio Toriumi & Takeshi Sakaki & Tetsuro Kobayashi & Mitsuo Yoshida, 2024. "Anti-vaccine rabbit hole leads to political representation: the case of Twitter in Japan," Journal of Computational Social Science, Springer, vol. 7(1), pages 405-423, April.
    2. Wang, Jianwei & Xu, Wenshu & Chen, Wei & Yu, Fengyuan & He, Jialu, 2021. "Information sharing can suppress the spread of epidemics: Voluntary vaccination game on two-layer networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    3. Shasha Teng & Nan Jiang & Kok Wei Khong, 2022. "Using big data to understand the online ecology of COVID-19 vaccination hesitancy," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-15, December.
    4. Kolotylo-Kulkarni, Malgorzata & Marakas, George M. & Xia, Weidong, 2024. "Understanding protective behavior and vaccination adoption among US individuals during the COVID-19 pandemic: A four-wave longitudinal study," Journal of Business Research, Elsevier, vol. 179(C).
    5. Kevin Winter & Matthew J. Hornsey & Lotte Pummerer & Kai Sassenberg, 2024. "Public agreement with misinformation about wind farms," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    6. Daziano, Ricardo & Budziński, Wiktor, 2023. "Evolution of preferences for COVID-19 vaccine throughout the pandemic – The choice experiment approach," Social Science & Medicine, Elsevier, vol. 332(C).
    7. Buechel, Berno & Klößner, Stefan & Meng, Fanyuan & Nassar, Anis, 2023. "Misinformation due to asymmetric information sharing," Journal of Economic Dynamics and Control, Elsevier, vol. 150(C).
    8. Matteo Bizzarri & Fabrizio Panebianco & Paolo Pin, 2020. "Epidemic dynamics with homophily, vaccination choices, and pseudoscience attitudes," Papers 2007.08523, arXiv.org, revised Jun 2021.
    9. Rotem Botvinik-Nezer & Matt Jones & Tor D. Wager, 2023. "A belief systems analysis of fraud beliefs following the 2020 US election," Nature Human Behaviour, Nature, vol. 7(7), pages 1106-1119, July.
    10. Amelia S Knopf & Peter Krombach & Amy J Katz & Rebecca Baker & Gregory Zimet, 2021. "Measuring research mistrust in adolescents and adults: Validity and reliability of an adapted version of the Group-Based Medical Mistrust Scale," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-9, January.
    11. Benjamin D. Horne & Natalie M. Rice & Catherine A. Luther & Damian J. Ruck & Joshua Borycz & Suzie L. Allard & Michael Fitzgerald & Oleg Manaev & Brandon C. Prins & Maureen Taylor & R. Alexander Bentl, 2023. "Generational effects of culture and digital media in former Soviet Republics," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    12. Matúš Medo & Manuel S. Mariani & Linyuan Lü, 2022. "The simple regularities in the dynamics of online news impact," Journal of Computational Social Science, Springer, vol. 5(1), pages 629-646, May.
    13. Argyris, Young Anna & Kim, Yongsuk & Roscizewski, Alexa & Song, Won, 2021. "The mediating role of vaccine hesitancy between maternal engagement with anti- and pro-vaccine social media posts and adolescent HPV-vaccine uptake rates in the US: The perspective of loss aversion in," Social Science & Medicine, Elsevier, vol. 282(C).
    14. Josh Bullock & Justin E. Lane & F. LeRon Shults, 2022. "What causes COVID-19 vaccine hesitancy? Ignorance and the lack of bliss in the United Kingdom," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-7, December.
    15. Kunihiro Miyazaki & Takayuki Uchiba & Kenji Tanaka & Kazutoshi Sasahara, 2022. "Aggressive behaviour of anti-vaxxers and their toxic replies in English and Japanese," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.
    16. Salvatore Vilella & Mirko Lai & Daniela Paolotti & Giancarlo Ruffo, 2020. "Immigration as a Divisive Topic: Clusters and Content Diffusion in the Italian Twitter Debate," Future Internet, MDPI, vol. 12(10), pages 1-22, October.

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