The online competition between pro- and anti-vaccination views
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DOI: 10.1038/s41586-020-2281-1
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Cited by:
- 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.
- 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).
- 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.
- 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).
- 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.
- 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).
- 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).
- Buechel Berno & Klößner, Stefan & Meng, Fanyuan & Nassar, Anis, 2022. "Misinformation due to asymmetric information sharing," FSES Working Papers 528, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Matteo Bizzarri & Fabrizio Panebianco & Paolo Pin, 2020. "Epidemic dynamics with homophily, vaccination choices, and pseudoscience attitudes," Papers 2007.08523, arXiv.org, revised Jun 2021.
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
- 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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