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Professional Identity and Perceived Crisis Severity as Antecedents of Healthcare Professionals’ Responses to Health Misinformation on Social Media

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Information for a Better World: Shaping the Global Future (iConference 2022)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 13193))

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Abstract

This study aims to determine the extent to which human information agents, such as healthcare professionals, respond to health misinformation on social media (i.e., by correcting it using private priming, public priming, private rebuttal, and public rebuttal, including reporting misinformation). Moreover, guided by social identity theory (SIT) and situational crisis communication theory (SCCT), it also aims to determine whether professional identity, perceived crisis severity, and their interaction are associated with such responses. Online survey data among 377 US healthcare professionals (i.e., nurses and medical doctors) were collected in October 2020. Linear regression and structural equation modeling were performed to determine the association between professional identity, perceived crisis severity, and their interaction with each of healthcare professionals’ responses to health misinformation on social media. Results show that most healthcare professionals responded to health misinformation on social media by performing public methods of correction, such as public priming and public rebuttal. Those with high professional identity were more likely to respond to health misinformation on social media. The interaction of professional identity and perceived crisis severity showed that those with high professional identity and high perceived crisis severity were likely to perform private priming, public priming, private rebuttal, public rebuttal, and report health misinformation. Overall, responses to health misinformation on social media, such as correcting and reporting misinformation can be explained using SIT and SCCT. Theoretical and practical implications are discussed.

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References

  1. Xie, B., et al.: Global health crises are also information crises: a call to action. J. Assoc. Inf. Sci. Technol. 71, 1419–1423 (2020). https://doi.org/10.1002/asi.24357

    Article  Google Scholar 

  2. World Health Organization: Managing the COVID-19 infodemic: promoting healthy behaviours and mitigating the harm from misinformation and disinformation. https://www.who.int/news/item/23-09-2020-managing-the-covid-19-infodemic-promoting-healthy-behaviours-and-mitigating-the-harm-from-misinformation-and-disinformation. Accessed 07 Sept 2021

  3. Office of the Surgeon General: Confronting Health Misinformation: The U.S. Surgeon General’s Advisory on Building a Healthy Information Environment. https://www.hhs.gov/sites/default/files/surgeon-general-misinformation-advisory.pdf. Accessed 07 Sept 2021

  4. Himelein-Wachowiak, M., et al.: Bots and misinformation spread on social media: implications for COVID-19. J. Med. Internet Res. 23, e26933 (2021). https://doi.org/10.2196/26933

  5. Wang, Y., McKee, M., Torbica, A., Stuckler, D.: Systematic literature review on the spread of health-related misinformation on social media. Soc. Sci. Med. 240, 112552 (2019). https://doi.org/10.1016/j.socscimed.2019.112552

  6. United Nations: UN launches new initiative to fight COVID-19 misinformation through ‘digital first responders. https://news.un.org/en/story/2020/05/1064622. Accessed 03 May 2021

  7. Corriel, D.: The Rise of the Social Media Doctor. https://www.self.com/story/social-media-doctors. Accessed 07 Sept 2021

  8. Farr, C.: This doctor is recruiting an army of medical experts to drown out fake health news on Instagram and Twitter. https://www.cnbc.com/2019/05/31/doctor-recruiting-doctors-to-fight-fake-health-info-on-social-media.html. Accessed 07 Sept 2021

  9. Varshavski: Physicians Must Meet Patients Where They Are, on Social Media—Physician’s Weekly. https://www.physiciansweekly.com/physicians-must-meet-patients-where-they-are-on-social-media/. Accessed 07 Sept 2021

  10. Wu, J.T., McCormick, J.B.: Why health professionals should speak out against false beliefs on the Internet. AMA J. Ethics 20, 1052–1058 (2018). https://doi.org/10.1001/amajethics.2018.1052

    Article  Google Scholar 

  11. Saad, L.: U.S. Ethics Ratings Rise for Medical Workers and Teachers. https://news.gallup.com/poll/328136/ethics-ratings-rise-medical-workers-teachers.aspx. Accessed 03 May 2021

  12. Bode, L., Vraga, E.K.: Correction experiences on social media during COVID-19. Soc. Media Soc. 7, 20563051211008828 (2021). https://doi.org/10.1177/20563051211008829

    Article  Google Scholar 

  13. Koo, A.Z.-X., Su, M.-H., Lee, S., Ahn, S.-Y., Rojas, H.: What motivates people to correct misinformation? Examining the effects of third-person perceptions and perceived norms. J. Broadcast. Electron. Media. 65, 111–134 (2021). https://doi.org/10.1080/08838151.2021.1903896

    Article  Google Scholar 

  14. Tandoc, E.C., Lim, D., Ling, R.: Diffusion of disinformation: how social media users respond to fake news and why. Journalism 21, 381–398 (2020). https://doi.org/10.1177/1464884919868325

    Article  Google Scholar 

  15. Bautista, J.R., Zhang, Y., Gwizdka, J.: US physicians’ and nurses’ motivations, barriers, and recommendations for correcting health misinformation on social media: qualitative interview study. JMIR Public Health Surveill. 7, e27715 (2021). https://doi.org/10.2196/27715

  16. van der Meer, T.G.L.A., Jin, Y.: Seeking formula for misinformation treatment in public health crises: the effects of corrective information type and source. Health Commun. 35, 560–575 (2020). https://doi.org/10.1080/10410236.2019.1573295

    Article  Google Scholar 

  17. Nyhan, B., Reifler, J., Ubel, P.A.: The hazards of correcting myths about health care reform. Med. Care 51, 127–132 (2013)

    Article  Google Scholar 

  18. Nyhan, B., Reifler, J.: Does correcting myths about the flu vaccine work? An experimental evaluation of the effects of corrective information. Vaccine 33, 459–464 (2015). https://doi.org/10.1016/j.vaccine.2014.11.017

    Article  Google Scholar 

  19. Vraga, E.K., Bode, L.: Using expert sources to correct health misinformation in social media. Sci. Commun. 39, 621–645 (2017). https://doi.org/10.1177/1075547017731776

    Article  Google Scholar 

  20. Tajfel, H., Turner, J.C.: An integrative theory of inter-group conflict. In: The Social Psychology of Inter-Group Relations. pp. 33–47. Brooks/Cole, Monterey (1979)

    Google Scholar 

  21. Coombs, W.T., Holladay, S.J.: Communication and attributions in a crisis: an experimental study in crisis communication. J. Public Relat. Res. 8, 279–295 (1996). https://doi.org/10.1207/s1532754xjprr0804_04

    Article  Google Scholar 

  22. Bautista, J.R., Zhang, Y., Gwizdka, J.: Healthcare professionals’ acts of correcting health misinformation on social media. Int. J. Med. Inf. 148, 104375 (2021). https://doi.org/10.1016/j.ijmedinf.2021.104375

  23. van der Linden, S., Roozenbeek, J., Compton, J.: Inoculating against fake news about COVID-19. Front. Psychol. 11, 2928 (2020). https://doi.org/10.3389/fpsyg.2020.566790

    Article  Google Scholar 

  24. van der Linden, S., Maibach, E., Cook, J., Leiserowitz, A., Lewandowsky, S.: Inoculating against misinformation. Science 358, 1141–1142 (2017). https://doi.org/10.1126/science.aar4533

    Article  Google Scholar 

  25. Bode, L., Vraga, E.K.: See something, say something: correction of global health misinformation on social media. Health Commun. 33, 1131–1140 (2018). https://doi.org/10.1080/10410236.2017.1331312

    Article  Google Scholar 

  26. Swire-Thompson, B., Lazer, D.: Public health and online misinformation: challenges and recommendations. Ann. Rev. Public Health 41, 433–451 (2020). https://doi.org/10.1146/annurev-publhealth-040119-094127

    Article  Google Scholar 

  27. World Health Organization: How to report misinformation online. https://www.who.int/campaigns/connecting-the-world-to-combat-coronavirus/how-to-report-misinformation-online. Accessed 07 Sept 2021

  28. Paterson, M., Higgs, J., Wilcox, S., Villeneuve, M.: Clinical reasoning and self-directed learning : key dimensions in professional education and professional socialisation. Focus Health Prof. Educ. 4, 5–21 (2002)

    Google Scholar 

  29. Mitchell, R.J., Parker, V., Giles, M.: When do interprofessional teams succeed? Investigating the moderating roles of team and professional identity in interprofessional effectiveness. Hum. Relat. 64, 1321–1343 (2011). https://doi.org/10.1177/0018726711416872

    Article  Google Scholar 

  30. Rasmussen, P., Henderson, A., Andrew, N., Conroy, T.: Factors influencing registered nurses’ perceptions of their professional identity: an integrative literature review. J. Contin. Educ. Nurs. 49, 225–232 (2018). https://doi.org/10.3928/00220124-20180417-08

    Article  Google Scholar 

  31. Vila-Candel, R., et al.: Determinants of seasonal influenza vaccination in pregnant women in Valencia. Spain. BMC Public Health 16, 1173 (2016). https://doi.org/10.1186/s12889-016-3823-1

    Article  Google Scholar 

  32. Back, A.L., Fromme, E.K., Meier, D.E.: Training clinicians with communication skills needed to match medical treatments to patient values. J. Am. Geriatr. Soc. 67, S435–S441 (2019). https://doi.org/10.1111/jgs.15709

    Article  Google Scholar 

  33. Park, E., et al.: A train the trainer program for healthcare professionals tasked with providing psychosocial support to breast cancer survivors. BMC Cancer 18, 45 (2018). https://doi.org/10.1186/s12885-017-3965-2

    Article  Google Scholar 

  34. Jennings, R.: The rise of the nursefluencer. The doctor will fave you now. https://www.vox.com/the-goods/2019/5/10/18535853/doctor-instagram-nurse-doctor-mike-influencer. Accessed 03 May 2021

  35. Harwood, J., Sparks, L.: Social identity and health: an intergroup communication approach to Cancer. Health Commun. 15, 145–159 (2003). https://doi.org/10.1207/S15327027HC1502_3

    Article  Google Scholar 

  36. Huddy, L.: From social to political identity: a critical examination of social identity theory. Polit. Psychol. 22, 127–156 (2001). https://doi.org/10.1111/0162-895X.00230

    Article  Google Scholar 

  37. Guharoy, R., Krenzelok, E.: Searching for COVID-19 treatments: first, do no harm. Am. J. Health. Syst. Pharm. 77, 1899–1905 (2020). https://doi.org/10.1093/ajhp/zxaa257

    Article  Google Scholar 

  38. Cohen, E.L., et al.: To correct or not to correct? Social identity threats increase willingness to denounce fake news through presumed media influence and hostile media perceptions. Commun. Res. Rep. 37, 263–275 (2020). https://doi.org/10.1080/08824096.2020.1841622

    Article  Google Scholar 

  39. Schulz, A., Wirth, W., Müller, P.: We are the people and you are fake news: a social identity approach to populist citizens’ false consensus and hostile media perceptions. Commun. Res. 47, 201–226 (2020). https://doi.org/10.1177/0093650218794854

    Article  Google Scholar 

  40. Trkman, M., Popovič, A., Trkman, P.: The impact of perceived crisis severity on intention to use voluntary proximity tracing applications. Int. J. Inf. Manag. 61, 102395 (2021). https://doi.org/10.1016/j.ijinfomgt.2021.102395

  41. Zhou, Z., Ki, E.-J., Brown, K.: A measure of perceived severity in organizational crises: a multidimensional scale development and validation. J. Int. Crisis Risk Commun. Res. 2 (2019). https://doi.org/10.30658/jicrcr.2.1.3

  42. Jahng, M.R.: Is fake news the new social media crisis? Examining the public evaluation of crisis management for corporate organizations targeted in fake news. Int. J. Strateg. Commun. 15, 18–36 (2021). https://doi.org/10.1080/1553118X.2020.1848842

    Article  Google Scholar 

  43. Hong, S., Kim, B.: Exploring social media use in university crisis communication: an experiment to measure impact on perceived crisis severity and attitudes of key publics. J. Conting. Crisis Manag. 27, 61–71 (2019). https://doi.org/10.1111/1468-5973.12242

    Article  Google Scholar 

  44. Hong, S., Len-Riós, M.E.: Does race matter? Implicit and explicit measures of the effect of the PR Spokesman’s race on evaluations of spokesman source credibility and perceptions of a PR crisis’ severity. J. Public Relat. Res. 27, 63–80 (2015). https://doi.org/10.1080/1062726X.2014.929502

    Article  Google Scholar 

  45. Lee, H., Jahng, M.R.: The role of storytelling in crisis communication: a test of crisis severity, crisis responsibility, and organizational trust. Journal. Mass Commun. Q. 97, 981–1002 (2020). https://doi.org/10.1177/1077699020923607

    Article  Google Scholar 

  46. Claeys, A.-S., Cauberghe, V., Vyncke, P.: Restoring reputations in times of crisis: an experimental study of the Situational Crisis Communication Theory and the moderating effects of locus of control. Public Relat. Rev. 36, 256–262 (2010). https://doi.org/10.1016/j.pubrev.2010.05.004

    Article  Google Scholar 

  47. Borden, J.: Effects of national identity in transnational crises: implications of social identity theory for attribution and crisis communications. Int. J. Commun. 21, 10 (2016)

    Google Scholar 

  48. Ma, L.: How to turn your friends into enemies: causes and outcomes of customers’ sense of betrayal in crisis communication. Public Relat. Rev. 44, 374–384 (2018). https://doi.org/10.1016/j.pubrev.2018.04.009

    Article  Google Scholar 

  49. Yoon, S.-W., Shin, S.: The role of negative publicity in consumer evaluations of sports stars and their sponsors. J. Consum. Behav. 16, 332–342 (2017). https://doi.org/10.1002/cb.1636

    Article  Google Scholar 

  50. Faul, F., Erdfelder, E., Buchner, A., Lang, A.-G.: Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav. Res. Methods 41, 1149–1160 (2009). https://doi.org/10.3758/BRM.41.4.1149

  51. Adams, K., Hean, S., Sturgis, P., Clark, J.M.: Investigating the factors influencing professional identity of first-year health and social care students. Learn. Health Soc. Care 5, 55–68 (2006). https://doi.org/10.1111/j.1473-6861.2006.00119.x

    Article  Google Scholar 

  52. Hayes, A.: PROCESS macro for SPSS and SAS. http://processmacro.org/. Accessed 22 Nov 2021

  53. Hu, L., Bentler, P.M.: Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equ. Model. Multidiscip. J. 6, 1–55 (1999). https://doi.org/10.1080/10705519909540118

    Article  Google Scholar 

  54. Wong, Q.: Coronavirus pandemic gives health care workers a chance to shine on social media. https://www.cnet.com/tech/mobile/coronavirus-pandemic-gave-healthcare-workers-a-chance-to-shine-on-social-media/. Accessed 07 Sept 2021

  55. Chandran, L., Iuli, R.J., Strano-Paul, L., Post, S.G.: Developing “a way of being”: deliberate approaches to professional identity formation in medical education. Acad. Psychiatry 43(5), 521–527 (2019). https://doi.org/10.1007/s40596-019-01048-4

    Article  Google Scholar 

  56. Laughlin, L., Anderson, A., Martinez, A.: 22 Million employed in health care fight against COVID-19. https://www.census.gov/library/stories/2021/04/who-are-our-health-care-workers.html. Accessed 07 Sept 2021

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Authors and Affiliations

  1. School of Information, The University of Texas at Austin, Austin, TX, 78701, USA

    John Robert Bautista, Yan Zhang & Jacek Gwizdka

  2. Center for Health Communication, Moody College of Communication and Dell Medical School, The University of Texas at Austin, Austin, TX, 78712, USA

    John Robert Bautista & Yan Zhang

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  1. John Robert Bautista
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  2. Yan Zhang
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Correspondence to John Robert Bautista .

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  1. Humboldt-Universität zu Berlin, Berlin, Germany

    Malte Smits

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Bautista, J.R., Zhang, Y., Gwizdka, J. (2022). Professional Identity and Perceived Crisis Severity as Antecedents of Healthcare Professionals’ Responses to Health Misinformation on Social Media. In: Smits, M. (eds) Information for a Better World: Shaping the Global Future. iConference 2022. Lecture Notes in Computer Science(), vol 13193. Springer, Cham. https://doi.org/10.1007/978-3-030-96960-8_19

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  • DOI: https://doi.org/10.1007/978-3-030-96960-8_19

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