IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v68y2022ics0160791x21003055.html
   My bibliography  Save this article

Conflicting attitudes: Analyzing social media data to understand the early discourse on COVID-19 passports

Author

Listed:
  • Khan, M. Laeeq
  • Malik, A.
  • Ruhi, U.
  • Al-Busaidi, A.

Abstract

In several countries, vaccine passports are being encouraged to hasten the return to some form of normalcy amidst the COVID-19 pandemic. Vaccine passport is a digital or paper document that may serve as proof of the COVID-19 vaccine, thereby allowing entry to public venues, sporting events, air travel, and unrestricted access to other facilities. This study explores how the COVID-19 passport is being discussed and perceived on Twitter and the prominent entities involved in the early discourse on the issue. Twitter messages were theoretically analyzed for Health Belief Model (HBM) and Theory of Planned Behavior (TPB) variables, as well as message source, engagement, and attitudes towards vaccination certificates. Using quantitative content analysis, tweets were coded on nine dimensions: account type, tweeter profile, tweet content, tweet modality, attitude, self-efficacy, perceived barriers, benefits, and action cues. Most of the tweets originated from personal accounts, followed by media organizations, media-related personalities, politicians, and the travel industry. A significant number of tweets were from male Twitter users. Our analysis revealed that most tweeters had a favorable attitude towards the COVID-19 passports. Unfavorable attitudes toward the COVID-19 passport were based on reasons such as a lack of common standard or consensus, and personal freedoms & human rights. Tweets highlighting the benefits of COVID-19 passports cited travel as the primary reason. Based on a combination of technical, legal, and ethical practices, our study offers a set of vital recommendations for governments, health organizations, and businesses that may help stimulate the acceptance of vaccine passports.

Suggested Citation

  • Khan, M. Laeeq & Malik, A. & Ruhi, U. & Al-Busaidi, A., 2022. "Conflicting attitudes: Analyzing social media data to understand the early discourse on COVID-19 passports," Technology in Society, Elsevier, vol. 68(C).
  • Handle: RePEc:eee:teinso:v:68:y:2022:i:c:s0160791x21003055
    DOI: 10.1016/j.techsoc.2021.101830
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X21003055
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2021.101830?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Guogen Shan & Shawn Gerstenberger, 2017. "Fisher’s exact approach for post hoc analysis of a chi-squared test," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-12, December.
    2. Abumalloh, Rabab Ali & Asadi, Shahla & Nilashi, Mehrbakhsh & Minaei-Bidgoli, Behrouz & Nayer, Fatima Khan & Samad, Sarminah & Mohd, Saidatulakmal & Ibrahim, Othman, 2021. "The impact of coronavirus pandemic (COVID-19) on education: The role of virtual and remote laboratories in education," Technology in Society, Elsevier, vol. 67(C).
    3. Chen, Ji & Huang, Jiayan & Su, Weihua & Štreimikienė, Dalia & Baležentis, Tomas, 2021. "The challenges of COVID-19 control policies for sustainable development of business: Evidence from service industries," Technology in Society, Elsevier, vol. 66(C).
    4. Smith, Andrew N. & Fischer, Eileen & Yongjian, Chen, 2012. "How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter?," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 102-113.
    5. Sun, Xiaoqian & Wandelt, Sebastian & Zhang, Anming, 2021. "Vaccination passports: Challenges for a future of air transportation," Transport Policy, Elsevier, vol. 110(C), pages 394-401.
    6. Iqbal, Muhammad Zahid & Campbell, Abraham G., 2021. "From luxury to necessity: Progress of touchless interaction technology," Technology in Society, Elsevier, vol. 67(C).
    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. Camilleri, Mark Anthony & Kozak, Metin, 2022. "Interactive engagement through travel and tourism social media groups: A social facilitation theory perspective," Technology in Society, Elsevier, vol. 71(C).
    2. Wang, Binhua & Ping, Yuan, 2022. "A comparative analysis of COVID-19 vaccination certificates in 12 countries/regions around the world: Rationalising health policies for international travel and domestic social activities during the p," Health Policy, Elsevier, vol. 126(8), pages 755-762.

    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. Diwanji, Vaibhav S. & Cortese, Juliann, 2020. "Contrasting user generated videos versus brand generated videos in ecommerce," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    2. Yadav, Manjit S. & de Valck, Kristine & Hennig-Thurau, Thorsten & Hoffman, Donna L. & Spann, Martin, 2013. "Social Commerce: A Contingency Framework for Assessing Marketing Potential," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 311-323.
    3. Jayashree Premkumar Shet & Christy Paulina J, 2022. "Is There Tremendous Advancement in Educational Setting during COVID-19 Age? A Case Study of Nabhanya College, KSA," World Journal of English Language, Sciedu Press, vol. 12(8), pages 151-151, December.
    4. Pradeep Kumar Ponnamma Divakaran & Jie Xiong, 2022. "Eliciting brand association networks: A new method using online community data," Post-Print hal-03700393, HAL.
    5. Agrawal, Shiv Ratan & Mittal, Divya, 2022. "Optimizing customer engagement content strategy in retail and E-tail: Available on online product review videos," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    6. Pauwels, Koen & Aksehirli, Zeynep & Lackman, Andrew, 2016. "Like the ad or the brand? Marketing stimulates different electronic word-of-mouth content to drive online and offline performance," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 639-655.
    7. Sepasgozar, Samad M.E., 2022. "Immersive on-the-job training module development and modeling users’ behavior using parametric multi-group analysis: A modified educational technology acceptance model," Technology in Society, Elsevier, vol. 68(C).
    8. Ivanete Schneider Hahn & Flavia Luciane Scherer & Kenny Basso & Marindia Brachak dos Santos, 2016. "Consumer Trust in and Emotional Response to Advertisements on Social Media and their Influence on Brand Evaluation," Brazilian Business Review, Fucape Business School, vol. 13(4), pages 49-71, July.
    9. Baccarella, Christian V. & Wagner, Timm F. & Kietzmann, Jan H. & McCarthy, Ian P., 2018. "Social media? It's serious! Understanding the dark side of social media," European Management Journal, Elsevier, vol. 36(4), pages 431-438.
    10. He, Yi & Chen, Qimei & Lee, Ruby P. & Wang, Yonggui & Pohlmann, Attila, 2017. "Consumers' Role Performance and Brand Identification: Evidence from a Survey and a Longitudinal Field Experiment," Journal of Interactive Marketing, Elsevier, vol. 38(C), pages 1-11.
    11. Mohamad Ahmad Saleem Khasawneh, 2024. "Accessibility Matters: Investigating the Usability of Social Media Platforms for Individuals with Motor Disabilities," Studies in Media and Communication, Redfame publishing, vol. 12(2), pages 1-11, June.
    12. Wang, Saerom & Kirillova, Ksenia & Lehto, Xinran, 2017. "Reconciling unsatisfying tourism experiences: Message type effectiveness and the role of counterfactual thinking," Tourism Management, Elsevier, vol. 60(C), pages 233-243.
    13. Alberto Lopez & Eva Guerra & Beatriz Gonzalez & Sergio Madero, 2020. "Consumer sentiments toward brands: the interaction effect between brand personality and sentiments on electronic word of mouth," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(4), pages 203-223, December.
    14. Labrecque, Lauren I., 2014. "Fostering Consumer–Brand Relationships in Social Media Environments: The Role of Parasocial Interaction," Journal of Interactive Marketing, Elsevier, vol. 28(2), pages 134-148.
    15. Drago Ruzic & Antun Bilos & Filip Radulovic, 2018. "Preliminary Study Of Personal Marketing In The Digital Environment: Attributes And Perception Of Internet Users In Croatia," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 27(1), pages 209-229, june.
    16. Seerat Sohal & Harsandaldeep Kaur, 2019. "Communicating with Voters on YouTube: Content Analysis of the Relationship Between Advertisement Message Characteristics and Viewers’ Responses," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 44(1), pages 17-35, February.
    17. Marinho, Marcelo & Amorim, Luís & Camara, Rafael & Oliveira, Brigitte Renata & Sobral, Marcos & Sampaio, Suzana, 2021. "Happier and further by going together: The importance of software team behaviour during the COVID-19 pandemic," Technology in Society, Elsevier, vol. 67(C).
    18. Guogen Shan & Xinlin Lu & Yahui Zhang & Samuel S. Wu, 2024. "Confidence intervals for overall response rate difference in the sequential parallel comparison design," Statistical Papers, Springer, vol. 65(8), pages 5333-5349, October.
    19. Subhajit Bhattacharya, 2017. "Does corporate social responsibility contribute to strengthen brand equity? An empirical study," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 14(4), pages 513-533, December.
    20. Thomas J. Weinandy & Kuanchin Chen & Susan Pozo & Michael J. Ryan, 2024. "Twitter-patter: how social media drives foot traffic to retail stores," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(3), pages 551-569, September.

    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:eee:teinso:v:68:y:2022:i:c:s0160791x21003055. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    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.