Evaluation of the Dunning Kruger effect in relation to vaccination: a study of messages on the social network LinkedIn.

e202306051

Authors

Keywords:

Heuristic biases, Dunning-kruger, COVID-19, Social networks, Vaccination, Anti-vaccines, Social psychology, Vaccination strategies

Abstract

BACKGROUND // The Dunning-Kruger effect refers to an excess of confidence regarding one’s abilities and knowledge; trust leads to transmitting information in an assertive manner, regardless of its validity or veracity, of experts, but of great impact on public opinion. This study evaluated the existence of the Dunning-Kruger effect in messages related to vaccination against COVID-19 on LinkedIn.
METHODS //448 messages were evaluated and the authors’ knowledge and training on the subject were related. In the statistical treatment, the Chi-square test was performed to determine if there is a significant association between the variables, establishing the level of significance at P<0.05. These procedures were carried out using SPSS statistical software.
RESULTS // 448 messages were analyzed. Of these, 153 reflected very high certainty, 115 medium certainty, 107 low certainty and 73 reflected doubts. The group that issued the most messages with absolute certainty (41.8%) was the group with minimal knowledge about COVID-19. Of this group without knowledge on the subject, only 7.1% expressed messages without expressing certainty. The group with very high knowledge on the subject was more likely to reflect uncertainty, communicating 15.7% of the messages with absolute certainty and 37.1% with zero certainty.
CONCLUSIONS // It is obtained that those people with less knowledge express their messages more assertively and present less acceptance of the COVID-19 vaccine in their speeches. The presence of the Dunning-Kruger effect in relation to COVID-19 vaccination is demonstrated.

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References

1. Larson HJ, Cooper LZ, Eskola J, Katz S, Ratzan S. (2011). Addressing the vaccine confidence gap. Lancet, 378(9790), 526-535. https://dx.doi.org//10.1016/s0140-6736(11)60678-8

2. Desmond A, Offit A. (2020). The antivax movement and what allergists can do. Ann Allergy Asthma Immunol, 125 (1), 8-9. https://dx.doi.org/10.1016/j.anai.2020.04.013

3. Black S, Rappuoli R. (2010). A crisis of public confidence in vaccines. Science translational medicine, 2(61). https://dx.doi.org/10.1126/scitranslmed.3001738

4. Rappuoli R, Pizza M, Del Giudice M, De Gregorio E. (2014). Vaccines for a new society. Proceedings of the National Academy of Sciences, 111(34), 12288-12293. http://dx.doi.org//10.1073/pnas.1402981111

5. Hussain A, Ali S, Ahmed M, Hussain S. (2018). The anti-vaccination movement: a regression in modern medicine. Cureus, 10:e2919. http://dx.doi.org/10.7759/cureus.2919

6. Dunning D, Johnson K, Ehrlinger J, Kruger J. (2003). Why people fail to recognize their own incompetence. Curr Dir Psychol Sci, 12(3), 83-87. https://dx.doi.org/10.1111/1467-8721.01235

7. Sánchez C, Dunning D. (2018). Overconfidence among beginners: is a little learning a dangerous thing? Journal of Personality and Social Psychology, 114, 10-28. https://dx.doi.org//10.1037/pspa0000102

8. Coutinho MVC, Thomas J, Alsuwaidi ASM, Couchman J. (2021). Dunning-Kruger Effect: Intuitive Errors Predict Overconfidence on the Cognitive Reflection Test. Frontiers in Psychology, 12. https://dx.doi.org/10.3389/fpsyg.2021.603225

9. Kruger J, Dunning D. (2000). Unskilled and unaware of it: how difficulties in recognizing one’s own incompetence lead to inflated self-assessments. J Pers Soc Psychol., 77(6), 1121-1134. https://dx.doi.org//10.1037/0022-3514.77.6.1121

10. Terroni NN. (2009). La comunicación y la asertividad del discurso durante las interacciones grupales presenciales y por computadora. Psico-USF, 14(1), 35-46.

11. Marottoli RA, Richardson ED. (1998). Confidence in, and self-rating of, driving ability among older drivers. Accident: analysis and prevention, 30(3), 331-336. https://dx.doi.org//10.1016/s0001-4575(97)00100-0

12. Motta M, Timothy C, Sylvesterc S. (2018). Knowing less but presuming more: Dunning-Kruger effects and the endorsement of anti-vaccine policy attitudes. Soc Sci Med, 211, 274-281. https://dx.doi.org//10.1016/j.socscimed.2018.06.032

13. Claessens A, Keita-Perse O, Berthier F, Raude J, Chironi G, Faraggi M et al. (2021). Self-Illusion and Medical Expertise in the Era of COVID-19. Open Forum Infecteous Disease, 8(4). https://dx.doi.org/10.1093/ofid/ofab058

14. Brown FK, Kroll SJ, Hudson JM, Ramsay M, Green J, Long JS, Vincent AC, Fraser G, Sevdalis N. (2010). Factors underlying parental decisions about combination childhood vaccinations including MMR: a systematic review. Vaccine 28(26), 4235-4248. https://dx.doi.org/10.1016/j.vaccine.2010.04.052

15. Bermejo PE, Dorado R, Zea-Sevilla MA, Sánchez-Menéndez V. (2011). Neuroanatomía de las decisiones financieras. Neurologia, 26(3), 173-181. http://dx.doi.org/10.1016/j.nrl.2010.09.015

16. Makarovs K, Achterberg P. (2017). Contextualizing educational differences in “vaccination uptake”: A thirty nation survey. Social Science & Medicine, 188, 1-10. http://dx.doi.org/10.1016/j.socscimed.2017.06.039

17. Popper K, Gombrich E. (2013). The open society and its enemies. Princeton: Princeton University Press.

18. Córdova-Jiménez I, Duran-Montes LA. (2018). Las teorías de la conspiración y su efecto sobre las decisiones. Argumentos inconsistentes para no vacunar. Quadripartita Ratio, 6, 22-39.

19. Peitz L, Lalot F, Douglas K, Sutton R, Abrams D. (2021). COVID-19 conspiracy theories and compliance with governmental restrictions: The mediating roles of anger, anxiety, and hope. Journal of Pacific Rim Psychology, 15. https://dx.doi.org//10.1177/18344909211046646

20. López-Carril S, Anagnostopoulos C, Parganas P. (2020). Social media in sport management education: Introducing LinkedIn. Journal of Hospitality, Leisure, Sport & Tourism Education, 27, 100262. http://dx.doi.org/10.1016/j.jhlste.2020.100262

21. Kozłowski A, Kaliszewski A, Dabrowski J, Klimek H. (2021). Virtual network sampling method using LinkedIn. MethodsX, 8. http://dx.doi.org/16/j.tranpol.2021.03.024

22. Grajales FJ, Sheps S, Ho K, Novak-Lauscher H, Eysenbach G. (2014). Social media: a review and tutorial of applications in medicine and health care. J Med Internet Res, 16(2). https://dx.doi.org/10.2196/jmir.2912

23. Kelly JA. (1982). Social skills training: a practical guide for interventions. Nueva York: Springer.

24. Jolley D, Douglas KM. (2014). The Effects of Anti-Vaccine Conspiracy Theories on Vaccination Intentions, PLoS ONE, 9(2): e89177. http://dx.doi.org/10.1371/ journal.pone.0089177

25. Akbar R. (2019). Ten health issues WHO will tackle this year. Who.int. Disponible en: https://www.who.int/news-room/spotlight/ten-threats-to-global-health-in-2019

26. Gellin B, Maibach E, Marcuse E. (2000). Do Parents Understand Immunizations? A National Telephone Survey. Pediatrics. 2000, 106(5), 1097-1102. https://dx.doi.org/10.1542/peds.106.5.1097

27. Bean SJ. (2011). Emerging and continuing trends in vaccine opposition website content. Vaccine, 29(10), 1874–1880. https://dx.doi.org/10.1016/j.vaccine.2011.01.003

28. Cooper LZ, Larson HJ, Katz SL. (2008). Protecting public trust in immunization. Pediatrics, 122(1), 149-153. https://dx.doi.org/10.1542/peds.2008-0987

29. Carpiano RM, Fitz NS. (2017). Public attitudes toward child undervaccination: A randomized experiment on evaluations, stigmatizing orientations, and support for policies. Social science & medicine, 185, 127-136.

30. Roberts HA, Clark DA, Kalina C, Sherman C, Brislin S, Heitzeg M, Hicks BM. (2022). To vax or not to vax: Predictors of anti-vax attitudes and COVID-19 vaccine hesitancy prior to widespread vaccine availability. PloS one, 17(2). https://dx.doi.org/10.1371/journal.pone.0264019

31. Kahan D, Braman D, Cohen G, Gastil J, Slovic P. (2010). Who fears the HPV vaccine, who doesn’t, and why? An experimental study of the mechanisms of cultural cognition. Law Hum Behav, 34(6), 501-516.https://dx.doi.org//10.1007/s10979-009-9201-0

32. Meadows CZ, Tang L, Liu W. (2015). Twitter message types, health beliefs, and vaccine attitudes during the 2015 measles outbreak in California. Am J Infect Control, 47, 1314-1318. http://dx.doi.org/10.1016/j.ajic.2019.05.007

33. Yiannakoulias N, Slavik CE, Chase M. (2019). Expressions of pro and antivaccine sentiment on YouTube. Vaccine, 37, 2057-2064. https://dx.doi.org//10.1016/j.vaccine.2019.03.001

34. Kort J. (2021). The Dark Side of Social Media: When opinions seem more important than truth. Phycology Today. Disponible en: https://www.psychologytoday.com/us/blog/understanding-the-erotic-code/202102/the-dark-side-social-media

35. Kahneman D. (2012). Pensar rapido, pensar despacio. Barcelona: Penguin Random House Grupo.

36. Dixon GN, Clarke CE. (2012). Heightening Uncertainty Around Certain Science: Media Coverage, False Balance, and the Autism-Vaccine Controversy. Science Communication, 35(3), 358-382. https://dx.doi.org/10.1177/1075547012458290

37. Soofi M, Najafi F, Karami-Matin B. (2020). Using Insights from Behavioral Economics to Mitigate the Spread of COVID-19. Applied Health Economics and Health Policy, 18, 345-350. http://dx.doi.org/10.1007/s40258-020-00595-4

38. Gibson LP, Magnan RE, Kramer EB, Bryan AD. (2021). Theory of Planned Behavior Analysis of Social Distancing During the COVID-19 Pandemic: Focusing on the Intention-Behavior Gap. Ann Behav Med, 55(8), 805-812. https://dx.doi.org/10.1093/abm/kaab041

39. Popa-Velea O, Purcărea VL. (2014). Issues of therapeutic communication relevant for improving quality of care. J Med Life, 7(4), 39-45.

40. Kim H, Jones-Jang M, Kim S, Wan A. (2018). Evaluating Sampling Methods for Content Analysis of Twitter Data. Social Media + Society, 4. http://dx.doi.org/10.1177/2056305118772836

41. Gang L, Yuan J, Xiong X, Li M. (2021). Mortality rate and characteristics of deaths following COVID-19 vaccination. Front Med, 14. https://dx.doi.org/10.3389/fmed.2021.670370

42. Ransing R, Dashi E, Rehman S, Chepure A, Mehta V, Kundadak GK. (2021). COVID-19 anti-vaccine movement and mental health: Challenges and the way forward. Asian Journal of Psychiatry, 58. https://dx.doi.org/10.1016/j.ajp.2021.102614

43. Ayhan D, Seki Öz H. (2021). Effect of assertiveness training on the nursing students’ assertiveness and self-esteem levels: Application of hybrid education in COVID-19 pandemic. Nursing Forum, 56(4), 807-815. http://dx.doi.org/10.1111/nuf.12610

Published

2023-06-15 — Updated on 2023-06-15

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Sánchez Ordóñez M, Bermejo Velasco PE, Rubio Moraga Ángel L. Evaluation of the Dunning Kruger effect in relation to vaccination: a study of messages on the social network LinkedIn.: e202306051. Rev Esp Salud Pública [Internet]. 2023 Jun. 15 [cited 2026 Oct. 4];97:13 páginas. Available from: https://ojs.sanidad.gob.es/index.php/resp/article/view/131

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