IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i11p6954-d832859.html
   My bibliography  Save this article

Canadian COVID-19 Crisis Communication on Twitter: Mixed Methods Research Examining Tweets from Government, Politicians, and Public Health for Crisis Communication Guiding Principles and Tweet Engagement

Author

Listed:
  • Melissa MacKay

    (Department of Population Medicine, University of Guelph, Guelph, ON N1G 2W1, Canada)

  • Andrea Cimino

    (Department of Population Medicine, University of Guelph, Guelph, ON N1G 2W1, Canada)

  • Samira Yousefinaghani

    (School of Computer Science, University of Guelph, Guelph, ON N1G 2W1, Canada)

  • Jennifer E. McWhirter

    (Department of Population Medicine, University of Guelph, Guelph, ON N1G 2W1, Canada)

  • Rozita Dara

    (School of Computer Science, University of Guelph, Guelph, ON N1G 2W1, Canada)

  • Andrew Papadopoulos

    (Department of Population Medicine, University of Guelph, Guelph, ON N1G 2W1, Canada)

Abstract

To foster trust on social media during a crisis, messages should implement key guiding principles, including call to action, clarity, conversational tone, compassion and empathy, correction of misinformation, and transparency. This study describes how crisis actors used guiding principles in COVID-19 tweets, and how the use of these guiding principles relates to tweet engagement. Original, English language tweets from 10 federal level government, politician, and public health Twitter accounts were collected between 11 March 2020 and 25 January 2021 ( n = 6053). A 60% random sample was taken ( n = 3633), and the tweets were analyzed for guiding principles. A tweet engagement score was calculated for each tweet and logistic regression analyses were conducted to model the relationship between guiding principles and tweet engagement. Overall, the use of guiding principles was low and inconsistent. Tweets that were written with compassion and empathy, or conversational tone were associated with greater odds of having higher tweet engagement. Across all guiding principles, tweets from politicians and public health were associated with greater odds of having higher tweet engagement. Using a combination of guiding principles was associated with greater odds of having higher tweet engagement. Crisis actors should consistently use relevant guiding principles in crisis communication messages to improve message engagement.

Suggested Citation

  • Melissa MacKay & Andrea Cimino & Samira Yousefinaghani & Jennifer E. McWhirter & Rozita Dara & Andrew Papadopoulos, 2022. "Canadian COVID-19 Crisis Communication on Twitter: Mixed Methods Research Examining Tweets from Government, Politicians, and Public Health for Crisis Communication Guiding Principles and Tweet Engagem," IJERPH, MDPI, vol. 19(11), pages 1-12, June.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6954-:d:832859
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/11/6954/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/11/6954/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vaughan, E. & Tinker, T., 2009. "Effective health risk communication about pandemic influenza for vulnerable populations," American Journal of Public Health, American Public Health Association, vol. 99(S2), pages 324-332.
    2. Liliana Cori & Fabrizio Bianchi & Ennio Cadum & Carmen Anthonj, 2020. "Risk Perception and COVID-19," IJERPH, MDPI, vol. 17(9), pages 1-6, April.
    3. Melissa MacKay & Taylor Colangeli & Daniel Gillis & Jennifer McWhirter & Andrew Papadopoulos, 2021. "Examining Social Media Crisis Communication during Early COVID-19 from Public Health and News Media for Quality, Content, and Corresponding Public Sentiment," IJERPH, MDPI, vol. 18(15), pages 1-14, July.
    4. Yachao Li & Sylvia Twersky & Kelsey Ignace & Mei Zhao & Radhika Purandare & Breeda Bennett-Jones & Scott R. Weaver, 2020. "Constructing and Communicating COVID-19 Stigma on Twitter: A Content Analysis of Tweets during the Early Stage of the COVID-19 Outbreak," IJERPH, MDPI, vol. 17(18), pages 1-12, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Patrick Cheong-Iao Pang & Wenjing Jiang & Guanwen Pu & Kin-Sun Chan & Ying Lau, 2022. "Social Media Engagement in Two Governmental Schemes during the COVID-19 Pandemic in Macao," IJERPH, MDPI, vol. 19(15), pages 1-12, July.
    2. Andrea Laurent-Simpson, 2023. "COVID-19 and Masking Disparities: Qualitative Analysis of Trust on the CDC’s Facebook Page," IJERPH, MDPI, vol. 20(12), pages 1-18, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Seunghoo Lim & Hiromi Nakazato, 2020. "The Emergence of Risk Communication Networks and the Development of Citizen Health-Related Behaviors during the COVID-19 Pandemic: Social Selection and Contagion Processes," IJERPH, MDPI, vol. 17(11), pages 1-12, June.
    2. Wei Zhong, 2017. "Simulating influenza pandemic dynamics with public risk communication and individual responsive behavior," Computational and Mathematical Organization Theory, Springer, vol. 23(4), pages 475-495, December.
    3. María del Carmen Pérez-Fuentes & María del Mar Molero Jurado & África Martos Martínez & Elena Fernández-Martínez & Raquel Franco Valenzuela & Iván Herrera-Peco & Diana Jiménez-Rodríguez & Inmaculada M, 2020. "Design and Validation of the Adaptation to Change Questionnaire: New Realities in Times of COVID-19," IJERPH, MDPI, vol. 17(15), pages 1-15, August.
    4. Pierluigi Diotaiuti & Giuseppe Valente & Stefania Mancone & Lavinia Falese & Fernando Bellizzi & Daniela Anastasi & Elisa Langiano & Fábio Hech Dominski & Alexandro Andrade, 2021. "Perception of Risk, Self-Efficacy and Social Trust during the Diffusion of Covid-19 in Italy," IJERPH, MDPI, vol. 18(7), pages 1-17, March.
    5. Arielle Kaim & Maya Siman-Tov & Eli Jaffe & Bruria Adini, 2021. "From Isolation to Containment: Perceived Fear of Infectivity and Protective Behavioral Changes during the COVID-19 Vaccination Campaign," IJERPH, MDPI, vol. 18(12), pages 1-12, June.
    6. Seow Ting Lee & Hun Shik Kim, 2021. "Nation branding in the COVID-19 era: South Korea’s pandemic public diplomacy," Place Branding and Public Diplomacy, Palgrave Macmillan, vol. 17(4), pages 382-396, December.
    7. Abdulrahman Obaid AI-Youbi & Abdulmonem Al-Hayani & Hisham J. Bardesi & Mohammed Basheri & Miltiadis D. Lytras & Naif Radi Aljohani, 2020. "The King Abdulaziz University (KAU) Pandemic Framework: A Methodological Approach to Leverage Social Media for the Sustainable Management of Higher Education in Crisis," Sustainability, MDPI, vol. 12(11), pages 1-21, May.
    8. Kai Zhang & Xuejiao Chen, 2022. "Research on the Influencing Mechanism via Which Security Perception of Personal Information Affects Tourist Happiness: A Moderated Mediation Model," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    9. Chiara Acquati & Tzuan A. Chen & Isabel Martinez Leal & Shahnjayla K. Connors & Arooba A. Haq & Anastasia Rogova & Stephanie Ramirez & Lorraine R. Reitzel & Lorna H. McNeill, 2021. "The Impact of the COVID-19 Pandemic on Cancer Care and Health-Related Quality of Life of Non-Hispanic Black/African American, Hispanic/Latina and Non-Hispanic White Women Diagnosed with Breast Cancer ," IJERPH, MDPI, vol. 18(24), pages 1-16, December.
    10. Devika Rani Sharma & Smitha Girija & Pratima Merugu, 2022. "Mediating Role of Perceived Health Risk on Customer Experience and Customer Satisfaction: Evidence from the Airline Industry in India During COVID-19," International Journal of Global Business and Competitiveness, Springer, vol. 17(1), pages 31-45, December.
    11. Janssen, Aljoscha & Shapiro, Matthew H., 2021. "Does precise case disclosure limit precautionary behavior? Evidence from COVID-19 in Singapore," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 700-714.
    12. Shin KINOSHITA & Masayuki SATO & Takanori IDA, 2022. "Bayesian Probability Revision and Infection Prevention Behavior in Japan : A Quantitative Analysis of the First Wave of COVID-19," Discussion papers e-22-004, Graduate School of Economics , Kyoto University.
    13. Peter D. Lunn & Cameron A. Belton & Ciarán Lavin & Féidhlim P. McGowan & Shane Timmons & Deirdre A. Robertson, 2020. "Using behavioral science to help fight the Coronavirus," Journal of Behavioral Public Administration, Center for Experimental and Behavioral Public Administration, vol. 3(1).
    14. Joon Woo Yoo & Junsung Park & Jong Ho Lee & Heejun Park, 2022. "Recovering from the COVID-19 shock: the role of risk perception and perceived effectiveness of protective measures on travel intention during the pandemic," Service Business, Springer;Pan-Pacific Business Association, vol. 16(3), pages 557-580, September.
    15. Vieri Lastrucci & Chiara Lorini & Marco Del Riccio & Eleonora Gori & Fabrizio Chiesi & Andrea Moscadelli & Beatrice Zanella & Sara Boccalini & Angela Bechini & Francesco Puggelli & Renzo Berti & Paolo, 2021. "The Role of Health Literacy in COVID-19 Preventive Behaviors and Infection Risk Perception: Evidence from a Population-Based Sample of Essential Frontline Workers during the Lockdown in the Province o," IJERPH, MDPI, vol. 18(24), pages 1-14, December.
    16. Jiexun Li & Xiaohui Chang, 2023. "Combating Misinformation by Sharing the Truth: a Study on the Spread of Fact-Checks on Social Media," Information Systems Frontiers, Springer, vol. 25(4), pages 1479-1493, August.
    17. Andrzej Robert Skrzypczak & Emil Andrzej Karpiński & Natalia Maja Józefacka & Robert Podstawski, 2022. "Impact of Personal Experience of COVID-19 Disease on Recreational Anglers’ Attitudes and Behaviors," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    18. Karin Hannes & Pieter Thyssen & Theresa Bengough & Shoba Dawson & Kristel Paque & Sarah Talboom & Krizia Tuand & Thomas Vandendriessche & Wessel van de Veerdonk & Daniëlle Wopereis & Anne-Mieke Vandam, 2024. "Inclusive Crisis Communication in a Pandemic Context: A Rapid Review," IJERPH, MDPI, vol. 21(9), pages 1-30, September.
    19. Kalgotra, Pankush & Gupta, Ashish & Sharda, Ramesh, 2021. "Pandemic information support lifecycle: Evidence from the evolution of mobile apps during COVID-19," Journal of Business Research, Elsevier, vol. 134(C), pages 540-559.
    20. Hye‐Jin Paek & Thomas Hove, 2019. "Mediating and Moderating Roles of Trust in Government in Effective Risk Rumor Management: A Test Case of Radiation‐Contaminated Seafood in South Korea," Risk Analysis, John Wiley & Sons, vol. 39(12), pages 2653-2667, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6954-:d:832859. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.