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Coronavirus – Research Paper

The dramatic increase in anti-vaccine discourses during the COVID-19 pandemic: a social network analysis of Twitter

ORCID Icon & ORCID Icon
Article: 2025008 | Received 27 Jul 2021, Accepted 24 Dec 2021, Published online: 03 Feb 2022

References

  • World Health Organization-Director. General’s opening remarks at the media briefing on COVID-19. Geneva WHO Director-General’s opening remarks at the media briefing on COVID-19 – 26 February 2021. [ accessed 2021 May 3]. https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19 .
  • Ministry-of-Health-of-Turkey. TC Sağlik Bakanliği COVID-19 Bilgilendirme Sayfasi. 2020 [accessed 2021 Apr 27]. https://covid19.saglik.gov.tr/TR-66113/covid-19.html .
  • Abd-Alrazaq A, Alhuwail D, Househ M, Hamdi M, Shah Z. Top concerns of tweeters during the COVID-19 pandemic: infoveillance study. J Med Internet Res. 2020 Apr 21;22(4):e19016. PMID: 32287039; PMCID: PMC7175788. doi:10.2196/19016.
  • We are social digital 2021 July global statshot report. [ accessed 2021 Jul 22]. https://wearesocial.com/digital-2021 .
  • Denecke K, Krieck M, Otrusina L, Smrz P, Dolog P, Nejdl W, Velasco E. How to exploit twitter for public health monitoring? Methods Inf Med. 2013;52(4):326–13. Epub 2013 Jul 23. PMID: 23877537. doi:10.3414/ME12-02-0010.
  • Guess AM, Nyhan B, O’Keeffe Z, Reifler J. The sources and correlates of exposure to vaccine-related (mis)information online. Vaccine. 2020 Nov 17;38(49):7799–805. Epub 2020 Oct 22. PMID: 33164802; PMCID: PMC7578671. doi:10.1016/j.vaccine.2020.10.018.
  • Collinson S, Heffernan JM. Modelling the effects of media during an influenza epidemic. BMC Public Health. 2014 Apr 17;14:376. PMID: 24742139; PMCID: PMC4001363. doi:10.1186/1471-2458-14-376.
  • Cui J, Sun Y, Zhu H. The impact of media on the control of infectious diseases. J Dyn Differ Equ. 2008;20(1):31–53. Epub 2007 May 18. PMID: 32214759; PMCID: PMC7088267. doi:10.1007/s10884-007-9075-0.
  • Kim L, Fast SM, Markuzon N. Incorporating media data into a model of infectious disease transmission. PLoS One. 2019 Feb 4;14(2):e0197646. PMID: 30716139; PMCID: PMC6361417. doi:10.1371/journal.pone.0197646.
  • Brennen JS, Simon FM, Howard PN, Nielsen RKT. Sources, and claims of COVID-19 misinformation. Oxford Univ Press; 2020 Apr. p .
  • Bridgman A, Merkley E, Loewen PJ, Owen T, Ruths D, Teichmann L, Zhilin O. The causes and consequences of COVID-19 misperceptions: understanding the role of news and social media. Harvard Kennedy School (HKS) Misinformation Rev. 2020:1. doi:10.37016/mr-2020-028.
  • Jargin SV, Murphy J. International perspectives and initiatives: the state of medical libraries in the former Soviet Union. Health Info Libr J. 2010;27:244–48. doi:10.12691/ajms-1-2-1.
  • Tasnim S, Hossain MM, Mazumder H. Impact of rumors and misinformation on COVID-19 in social media. J Prev Med Public Health. 2020 May;53(3):171–74. Epub 2020 Apr 2. PMID: 32498140; PMCID: PMC7280809. doi:10.3961/jpmph.20.094.
  • González-Padilla DA, Tortolero-Blanco L. Social media influence in the COVID-19 pandemic. Int Braz J Urol. 2020 Jul;46(suppl.1):120–24. PMID: 32550706; PMCID: PMC7719982. doi:10.1590/S1677-5538.IBJU.2020.S121.
  • Salathé M, Bengtsson L, Bodnar TJ, Brewer DD, Brownstein JS, Buckee C, Campbell EM, Cattuto C, Khandelwal S, Mabry PL, et al. Digital epidemiology. PLoS Comput Biol. 2012;8:e1002616. doi:10.1371/journal.pcbi.1002616.
  • Chew C, Eysenbach G. Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak. PLoS One. 2010 Nov 29;5(11):e14118. PMID: 21124761; PMCID: PMC2993925. doi:10.1371/journal.pone.0014118.
  • Del Vicario M, Bessi A, Zollo F, Petroni F, Scala A, Caldarelli G, Stanley HE, Quattrociocchi W. The spreading of misinformation online. Proc Natl Acad Sci U S A. 2016;113:554–59. PMID: 26729863. doi:10.1073/pnas.1517441113.
  • Kata A. A postmodern Pandora’s box: anti-vaccination misinformation on the Internet. Vaccine. 2010 Feb 17;28(7):1709–16. Epub 2009 Dec 30. PMID: 20045099. doi:10.1016/j.vaccine.2009.12.022.
  • Jones AM, Omer SB, Bednarczyk RA, Halsey NA, Moulton LH, Salmon DA. Parents’ source of vaccine information and impact on vaccine attitudes, beliefs, and nonmedical exemptions. Adv Prev Med. 2012;2012:932741. Epub 2012 Oct 2. PMID: 23082253; PMCID: PMC3469070. doi:10.1155/2012/932741.
  • Pascual-Ferrá P, Alperstein N, Barnett DJ. Social network analysis of COVID-19 public discourse on Twitter: implications for risk communication. Disaster Med Public Health Prep. 2020 Sep;10:1–9. Epub ahead of print. PMID: 32907685; PMCID: PMC7674807. doi:10.1017/dmp.2020.347.
  • Himelboim I, McCreery S, Smith M. Birds of a feather tweet together: integrating network and content analyses to examine cross-ideology exposure on Twitter. J Comput-Mediated Commun. 2013;18:40–60. doi:10.1111/jcc4.12001.
  • Karafillakis E, Martin S, Simas C, Olsson K, Takacs J, Dada S, Larson HJ. Methods for social media monitoring related to vaccination: systematic scoping review. JMIR Public Health Surveill. 2021 Feb 8;7(2):e17149. PMID: 33555267; PMCID: PMC7899807. doi:10.2196/17149.
  • O’Donohoe S. Netnography: doing ethnographic research online. Int J Advertising. 2010;29:328–30. doi:10.2501/S026504871020118X.
  • Leavitt A, Burchard E, Fisher D, Gilbert S 2009 The influentials: new approaches for analyzing influence on twitter (Web Ecology Project)
  • Wilson K, Keelan J. Social media and the empowering of opponents of medical technologies: the case of anti-vaccinationism. J Med Internet Res. 2013 May 28;15(5):e103. PMID: 23715762; PMCID: PMC3668617. doi:10.2196/jmir.2409.
  • Zimmer M, Kinder-Kurlanda K. Internet research ethics for the social age. Switzerland: Peter Lang Publishing, Incorporated; 2017.
  • Houghton DJ, Hodder A. Understanding trade union usage of social media: a case study of the public and commercial services union on Facebook and Twitter. New Technol, Work Employment. 2021;36:219–39. doi:10.1111/ntwe.12209.
  • Yao W, Qian S. From Twitter to traffic predictor: next-day morning traffic prediction using social media data. Transp Res Part C Emerging Technol. 2021;124:102938. doi:10.1016/j.trc.2020.102938.
  • Yang A, Saffer AJ. Standing out in a networked communication context: toward a network contingency model of public attention. New Media Soc. 2020. doi:10.1177/1461444820939445.
  • Riddell J, Brown A, Kovic I, Jauregui J. Who are the most influential emergency physicians on Twitter? West J Emergency Med. 2017:18. doi:10.5811/westjem.2016.11.31299.
  • Sanawi JB, Samani MC, Taibi M. #Vaccination: identifying influencers in the vaccination discussion on twitter through social network visualisation. Int J Bus Soc. 2017;18:718–26.
  • Xu WW, Sang Y, Blasiola S, Park HW. Predicting opinion leaders in Twitter activism networks:the case of the Wisconsin recall election. Am Behav Sci. 2014;58:1278–93. doi:10.1177/0002764214527091.
  • Brandes U. A faster algorithm for betweenness centrality. J Math Sociol. 2001;25:163–77. doi:10.1080/0022250X.2001.9990249.
  • Bastian M, Heymann S, Jacomy M. Gephi: an open source software for exploring and manipulating networks. In: Third international AAAI conference on weblogs and social media. 2009. https://www.aaai.org/ocs/index.php/ICWSM/09/paper/view/154 .
  • Wasserman S, Faust K. Social network analysis: methods and applications. Struct Anal Soc Sci. 1994. doi:10.1017/CBO9780511815478.
  • Centers-for-Disease-Control-and-Prevention-(CDC). Ten great public health achievements–United States, 1900-1999. MMWR Morb Mortal Wkly Rep 1999;48:241–43.
  • Lane S, MacDonald NE, Marti M, Dumolard L. Vaccine hesitancy around the globe: analysis of three years of WHO/UNICEF joint reporting form data-2015–2017. Vaccine. 2018;36:3861–67. doi:10.1016/j.vaccine.2018.03.063.
  • Ball P. Anti-vaccine movement could undermine efforts to end coronavirus pandemic, researchers warn. Nature. 2020 May;581(7808):251. PMID: 32405043. doi:10.1038/d41586-020-01423-4.
  • Neumann-Böhme S, Varghese NE, Sabat I, Barros PP, Brouwer W, van Exel J, Schreyögg J, Stargardt T. Once we have it, will we use it? A European survey on willingness to be vaccinated against COVID-19. Eur J Health Econ. 2020 Sep;21(7):977–82. PMID: 32591957; PMCID: PMC7317261. doi:10.1007/s10198-020-01208-6.
  • Jones HE, Manze M, Ngo V, Lamberson P, Freudenberg N. The impact of the COVID-19 pandemic on college students’ health and financial stability in New York City: findings from a population-based sample of City University of New York (CUNY) students. J Urban Health. 2021 Apr;98(2):187–96. Epub 2021 Feb 11. PMID: 33570739; PMCID: PMC7877316. doi:10.1007/s11524-020-00506-x.
  • Edwards B, Biddle N, Gray M, Sollis K. COVID-19 vaccine hesitancy and resistance: correlates in a nationally representative longitudinal survey of the Australian population. PLoS One. 2021;16:e0248892. doi:10.1371/journal.pone.0248892.
  • Khubchandani J, Sharma S, Price JH, Wiblishauser MJ, Sharma M, Webb FJ. COVID-19 vaccination hesitancy in the United States: a rapid national assessment. J Community Health. 2021 Apr;46(2):270–77. Epub 2021 Jan 3. PMID: 33389421; PMCID: PMC7778842. doi:10.1007/s10900-020-00958-x.
  • Sa Salali GD, Uysal MS. COVID-19 vaccine hesitancy is associated with beliefs on the origin of the novel coronavirus in the UK and Turkey. Psychol Med. 2020 Oct 19;1–3. Epub ahead of print. PMID: 33070804; PMCID: PMC7609204. doi:10.1017/S0033291720004067.
  • Ipsos. Koronavirüse Karşı Aşı Yaptırma Eğilimi Yükselişte. 2021 [accessed 2021 Jun 17]. https://www.ipsos.com/tr-tr/koronaviruse-karsi-asi-yaptirma-egilimi-yukseliste .
  • Journo. Sosyal medya kullanıcı sayıları: türkiye ve dünyada son durum. 2020 [accessed 2021 Jun 28. https://journo.com.tr/instagram-twitter-facebook-snapchat-kullanici-sayisi-turkiye .
  • Gunaratne K, Coomes EA, Haghbayan H. Temporal trends in anti-vaccine discourse on Twitter. Vaccine. 2019 Aug 14;37(35):4867–71. Epub 2019 Jul 9. PMID: 31300292. doi:10.1016/j.vaccine.2019.06.086.
  • Global strategy for comprehensive vaccine-preventable disease (VPD) surveillance [Internet]. Who.int. 2021 [accessed 2021 May 17]. https://www.who.int/publications/m/item/global-strategy-for-comprehensive-vaccine-preventable-disease-(vpd)-surveillance .
  • Rezza G. Mandatory vaccination for infants and children: the Italian experience. Pathog Glob Health. 2019;113:291–96. doi:10.1080/20477724.2019.1705021.
  • Tavoschi L, Quattrone F, D’Andrea E, Ducange P, Vabanesi M, Marcelloni F, Lopalco PL. Twitter as a sentinel tool to monitor public opinion on vaccination: an opinion mining analysis from September 2016 to August 2017 in Italy. Hum Vaccin Immunother. 2020 May 3;16(5):1062–69. Epub 2020 Mar 2. PMID: 32118519; PMCID: PMC7227677. doi:10.1080/21645515.2020.1714311.
  • Little JS, Romee R. Tweeting from the bench: Twitter and the physician-scientist benefits and challenges. Curr Hematol Malig Rep. 2020 Dec;15(6):419–23. Epub 2020 Nov 11. PMID: 33179209; PMCID: PMC7657377. doi:10.1007/s11899-020-00601-5.
  • Pershad Y, Hangge PT, Albadawi H, Oklu R. Social medicine: Twitter in healthcare. J Clin Med. 2018 May 28;7(6):121. PMID: 29843360; PMCID: PMC6025547. doi:10.3390/jcm7060121.
  • Gagnon K, Sabus C. Professionalism in a digital age: opportunities and considerations for using social media in health care. Phys Ther. 2015 Mar;95(3):406–14. Epub 2014 Jun 5. PMID: 24903111. doi:10.2522/ptj.20130227.
  • Himelboim I, Smith MA, Rainie L, Shneiderman B, Espina C. Classifying Twitter topic-networks using social network analysis. Soc Media + Soc. 2017;3:205630511769154. doi:10.1177/2056305117691545.