Display options
Share it on

JMIR Public Health Surveill. 2018 Sep 20;4(3):e10090. doi: 10.2196/10090.

User-Driven Comments on a Facebook Advertisement Recruiting Canadian Parents in a Study on Immunization: Content Analysis.

JMIR public health and surveillance

Jordan Lee Tustin, Natasha Sarah Crowcroft, Dionne Gesink, Ian Johnson, Jennifer Keelan, Barbara Lachapelle

Affiliations

  1. School of Occupational and Public Health, Ryerson University, Toronto, ON, Canada.
  2. Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
  3. Public Health Ontario, Toronto, ON, Canada.
  4. Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
  5. Department of Public Health, Concordia University of Edmonton, Edmonton, AB, Canada.
  6. Toronto Public Health, Toronto, ON, Canada.

PMID: 30249585 PMCID: PMC6231725 DOI: 10.2196/10090

Abstract

BACKGROUND: More people are searching for immunization information online and potentially being exposed to misinformation and antivaccination sentiment in content and discussions on social media platforms. As vaccination coverage rates remain suboptimal in several developed countries, and outbreaks of vaccine-preventable diseases become more prevalent, it is important that we build on previous research by analyzing themes in online vaccination discussions, including those that individuals may see without actively searching for information on immunization.

OBJECTIVE: The study aimed to explore the sentiments and themes behind an unsolicited debate on immunization in order to better inform public health interventions countering antivaccination sentiment.

METHODS: We analyzed and quantified 117 user-driven open-ended comments on immunization posted in the Comments section of a Facebook advertisement that targeted Canadian parents for recruitment into a larger study on immunization. Then, 2 raters coded all comments using content analysis.

RESULTS: Of 117 comments, 85 were posted by unique commentators, with most being female (65/85, 77%). The largest proportion of the immunization comments were positive (51/117, 43.6%), followed by negative (41/117, 35.0%), ambiguous (20/117, 17.1%), and hesitant (5/117, 4.3%). Inaccurate knowledge (27/130, 20.8%) and misperceptions of risk (23/130, 17.7%) were most prevalent in the 130 nonpositive comments. Other claims included distrust of pharmaceutical companies or government agencies (18/130, 13.8%), distrust of the health care system or providers (15/130, 11.5%), past negative experiences with vaccination or beliefs (10/130, 7.7%), and attitudes about health and prevention (10/130, 7.7%). Almost 40% (29/74, 39%) of the positive comments communicated the risks of not vaccinating, followed by judgments on the knowledge level of nonvaccinators (13/74, 18%). A total of 10 positive comments (10/74, 14%) specifically refuted the link between autism and vaccination.

CONCLUSIONS: The presence of more than 100 unsolicited user-driven comments on a platform not intended for discussion, nor providing any information on immunization, illustrates the strong sentiments associated with immunization and the arbitrariness of the online platforms used for immunization debates. Health authorities should be more proactive in finding mechanisms to refute misinformation and misperceptions that are propagating uncontested online. Online debates and communications on immunization need to be identified by continuous monitoring in order for health authorities to understand the current themes and trends, and to engage in the discussion.

©Jordan Lee Tustin, Natasha Sarah Crowcroft, Dionne Gesink, Ian Johnson, Jennifer Keelan, Barbara Lachapelle. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 20.09.2018.

Keywords: Facebook; antivaccination movement; immunization; social media; vaccination

References

  1. Vaccine. 2011 Feb 24;29(10):1874-80 - PubMed
  2. Vaccine. 2015 Aug 14;33(34):4161-4 - PubMed
  3. Hum Vaccin Immunother. 2016 Jul 2;12(7):1924-9 - PubMed
  4. Vaccine. 2015 Aug 14;33(34):4157-60 - PubMed
  5. PLoS One. 2016 Jun 03;11(6):e0156118 - PubMed
  6. JMIR Public Health Surveill. 2018 Jan 19;4(1):e7 - PubMed
  7. PLoS Curr. 2017 Mar 3;9: - PubMed
  8. Vaccine. 2015 Aug 14;33(34):4215-7 - PubMed
  9. BMC Med Res Methodol. 2013 Sep 18;13:117 - PubMed
  10. Hum Vaccin Immunother. 2013 Aug;9(8):1763-73 - PubMed
  11. Vaccine. 2010 Feb 10;28(6):1535-40 - PubMed
  12. Can Commun Dis Rep. 2016 Jul 07;42(7):139-145 - PubMed
  13. Euro Surveill. 2011 Apr 28;16(17):null - PubMed
  14. Can Commun Dis Rep. 2015 Jul 02;41(7):175-178 - PubMed
  15. Public Health Res Pract. 2015 Mar 30;25(2):e2521515 - PubMed
  16. Vaccine. 2015 Aug 14;33(34):4212-4 - PubMed
  17. Vaccine. 2015 Aug 14;33(34):4180-90 - PubMed
  18. Vaccine. 2014 Apr 17;32(19):2150-9 - PubMed
  19. Vaccine. 2018 Aug 28;36(36):5408-5415 - PubMed
  20. JMIR Public Health Surveill. 2017 Jul 24;3(3):e47 - PubMed
  21. Vaccine. 2012 May 28;30(25):3778-89 - PubMed
  22. Vaccine. 2012 May 28;30(25):3734-40 - PubMed
  23. Med Mal Infect. 2016 May;46(3):117-22 - PubMed
  24. Public Underst Sci. 2008 Apr;17(2):231-43 - PubMed
  25. Vaccine. 2012 May 28;30(25):3806-12 - PubMed
  26. Pediatrics. 2011 May;127 Suppl 1:S107-12 - PubMed
  27. Nurse Educ Today. 2004 Feb;24(2):105-12 - PubMed
  28. JAMA. 2007 Dec 5;298(21):2482-4 - PubMed
  29. Hum Vaccin Immunother. 2018 Jan 2;14(1):218-224 - PubMed
  30. Pediatrics. 2017 Dec;140(6):null - PubMed
  31. Vaccine. 2012 May 28;30(25):3727-33 - PubMed
  32. Can Commun Dis Rep. 2014 Jun 12;40(12):219-232 - PubMed
  33. Can Commun Dis Rep. 2014 Jun 12;40(12):233-235 - PubMed
  34. Can Commun Dis Rep. 2016 Dec 01;42(12):246-251 - PubMed
  35. Nurse Educ Today. 1991 Dec;11(6):461-6 - PubMed
  36. J Health Psychol. 2010 Apr;15(3):446-55 - PubMed
  37. Vaccine. 2010 Feb 17;28(7):1709-16 - PubMed

Publication Types