IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i21p8235-d441505.html
   My bibliography  Save this article

A Social Network Analysis of Tweets Related to Masks during the COVID-19 Pandemic

Author

Listed:
  • Wasim Ahmed

    (Newcastle University Business School, Newcastle University, Newcastle upon Tyne NE1 4SE, UK)

  • Josep Vidal-Alaball

    (Health Promotion in Rural Areas Research Group, Gerència Territorial de la Catalunya Central, Institut Català de la Salut, 08272 Sant Fruitós de Bages, Spain
    Unitat de Suport a la Recerca de la Catalunya Central, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina, 08272 Sant Fruitós de Bages, Spain)

  • Francesc Lopez Segui

    (TIC Salut Social, Generalitat de Catalunya, 08005 Barcelona, Spain
    Center for Research in Health and Economics (CRES-UPF), Universitat Pompeu Fabra, 08002 Barcelona, Spain)

  • Pedro A. Moreno-Sánchez

    (School of Health Care and Social Work, Seinäjoki University of Applied Sciences, 60100 Seinäjoki, Finland)

Abstract

Background: High compliance in wearing a mask is a crucial factor for stopping the transmission of COVID-19. Since the beginning of the pandemic, social media has been a key communication channel for citizens. This study focused on analyzing content from Twitter related to masks during the COVID-19 pandemic. Methods: Twitter data were collected using the keyword “mask” from 27 June 2020 to 4 July 2020. The total number of tweets gathered were n = 452,430. A systematic random sample of 1% ( n = 4525) of tweets was analyzed using social network analysis. NodeXL (Social Media Research Foundation, California, CA, USA) was used to identify users ranked influential by betweenness centrality and was used to identify key hashtags and content. Results: The overall shape of the network resembled a community network because there was a range of users conversing amongst each other in different clusters. It was found that a range of accounts were influential and/or mentioned within the network. These ranged from ordinary citizens, politicians, and popular culture figures. The most common theme and popular hashtags to emerge from the data encouraged the public to wear masks. Conclusion: Towards the end of June 2020, Twitter was utilized by the public to encourage others to wear masks and discussions around masks included a wide range of users.

Suggested Citation

  • Wasim Ahmed & Josep Vidal-Alaball & Francesc Lopez Segui & Pedro A. Moreno-Sánchez, 2020. "A Social Network Analysis of Tweets Related to Masks during the COVID-19 Pandemic," IJERPH, MDPI, vol. 17(21), pages 1-9, November.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:8235-:d:441505
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/21/8235/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/21/8235/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fan Wu & Su Zhao & Bin Yu & Yan-Mei Chen & Wen Wang & Zhi-Gang Song & Yi Hu & Zhao-Wu Tao & Jun-Hua Tian & Yuan-Yuan Pei & Ming-Li Yuan & Yu-Ling Zhang & Fa-Hui Dai & Yi Liu & Qi-Min Wang & Jiao-Jiao , 2020. "Author Correction: A new coronavirus associated with human respiratory disease in China," Nature, Nature, vol. 580(7803), pages 7-7, April.
    2. Fan Wu & Su Zhao & Bin Yu & Yan-Mei Chen & Wen Wang & Zhi-Gang Song & Yi Hu & Zhao-Wu Tao & Jun-Hua Tian & Yuan-Yuan Pei & Ming-Li Yuan & Yu-Ling Zhang & Fa-Hui Dai & Yi Liu & Qi-Min Wang & Jiao-Jiao , 2020. "A new coronavirus associated with human respiratory disease in China," Nature, Nature, vol. 579(7798), pages 265-269, March.
    3. Wasim Ahmed & Xavier Marin-Gomez & Josep Vidal-Alaball, 2020. "Contextualising the 2019 E-Cigarette Health Scare: Insights from Twitter," IJERPH, MDPI, vol. 17(7), pages 1-10, March.
    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. Patrick Cheong-Iao Pang & Qixin Cai & Wenjing Jiang & Kin Sun Chan, 2021. "Engagement of Government Social Media on Facebook during the COVID-19 Pandemic in Macao," IJERPH, MDPI, vol. 18(7), pages 1-19, March.
    3. Francesco Tessarolo & Giandomenico Nollo & Devid Maniglio & Marta Rigoni & Luca Benedetti & Fabrizia Helfer & Ivan Corradi & Luigi Rovati & Alberto Ferrari & Mattia Piccini & Luca Accorsi & Elena Vero, 2021. "Testing Surgical Face Masks in an Emergency Context: The Experience of Italian Laboratories during the COVID-19 Pandemic Crisis," IJERPH, MDPI, vol. 18(4), pages 1-19, February.
    4. Yunhwan Kim, 2022. "#Nomask on Instagram: Exploring Visual Representations of the Antisocial Norm on Social Media," IJERPH, MDPI, vol. 19(11), pages 1-14, June.
    5. 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.
    6. Stefano Bruzzese & Wasim Ahmed & Simone Blanc & Filippo Brun, 2022. "Ecosystem Services: A Social and Semantic Network Analysis of Public Opinion on Twitter," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    7. Basma T. Gomaa & Eric R. Walsh-Buhi & Russell J. Funk, 2022. "Understanding Melanoma Talk on Twitter: The Lessons Learned and Missed Opportunities," IJERPH, MDPI, vol. 19(18), pages 1-9, September.

    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. Wasim Ahmed & Josep Vidal-Alaball & Josep M. Vilaseca, 2022. "A Social Network Analysis of Twitter Data Related to Blood Clots and Vaccines," IJERPH, MDPI, vol. 19(8), pages 1-8, April.
    2. Irizar, Patricia & Kapadia, Dharmi & Amele, Sarah & Bécares, Laia & Divall, Pip & Katikireddi, Srinivasa Vittal & Kibuchi, Eliud & Kneale, Dylan & McCabe, Ronan & Nazroo, James & Nellums, Laura B. & T, 2023. "Pathways to ethnic inequalities in COVID-19 health outcomes in the United Kingdom: A systematic map," Social Science & Medicine, Elsevier, vol. 329(C).
    3. Mubango Hazel & Muzariri Calvin, 2022. "Employee Engagement and Competitive Advantage during Covid 19 Pandemic in Small to Medium Enterprises, Catering Industry, Harare," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(4), pages 288-292, April.
    4. Giulia Orilisi & Marco Mascitti & Lucrezia Togni & Riccardo Monterubbianesi & Vincenzo Tosco & Flavia Vitiello & Andrea Santarelli & Angelo Putignano & Giovanna Orsini, 2021. "Oral Manifestations of COVID-19 in Hospitalized Patients: A Systematic Review," IJERPH, MDPI, vol. 18(23), pages 1-19, November.
    5. David Gomez-Zepeda & Danielle Arnold-Schild & Julian Beyrle & Arthur Declercq & Ralf Gabriels & Elena Kumm & Annica Preikschat & Mateusz Krzysztof Łącki & Aurélie Hirschler & Jeewan Babu Rijal & Chris, 2024. "Thunder-DDA-PASEF enables high-coverage immunopeptidomics and is boosted by MS2Rescore with MS2PIP timsTOF fragmentation prediction model," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    6. Francesco Gangi & Eugenio D'Angelo & Lucia Michela Daniele & Nicola Varrone, 2021. "Assessing the impact of socially responsible human resources management on company environmental performance and cost of debt," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(5), pages 1511-1527, September.
    7. Miquel Oliu-Barton & Bary S. R. Pradelski & Nicolas Woloszko & Lionel Guetta-Jeanrenaud & Philippe Aghion & Patrick Artus & Arnaud Fontanet & Philippe Martin & Guntram B. Wolff, 2022. "The effect of COVID certificates on vaccine uptake, health outcomes, and the economy," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    8. Sneha Gautam & Cyril Samuel & Alok Sagar Gautam & Sanjeev Kumar, 2021. "Strong link between coronavirus count and bad air: a case study of India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16632-16645, November.
    9. Hengrui Liu & Sho Iketani & Arie Zask & Nisha Khanizeman & Eva Bednarova & Farhad Forouhar & Brandon Fowler & Seo Jung Hong & Hiroshi Mohri & Manoj S. Nair & Yaoxing Huang & Nicholas E. S. Tay & Sumin, 2022. "Development of optimized drug-like small molecule inhibitors of the SARS-CoV-2 3CL protease for treatment of COVID-19," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    10. Michael Messer, 2022. "Bivariate change point detection: Joint detection of changes in expectation and variance," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(2), pages 886-916, June.
    11. José M. Núñez-Sánchez & Jesús Molina-Gómez & Pere Mercadé-Melé & Santiago Almadana-Abón, 2024. "Boosting Competitiveness Through the Alignment of Corporate Social Responsibility, Strategic Management and Compensation Systems in Technology Companies: A Case Study," Sustainability, MDPI, vol. 16(21), pages 1-15, October.
    12. Alessandro Germani & Livia Buratta & Elisa Delvecchio & Claudia Mazzeschi, 2020. "Emerging Adults and COVID-19: The Role of Individualism-Collectivism on Perceived Risks and Psychological Maladjustment," IJERPH, MDPI, vol. 17(10), pages 1-15, May.
    13. Ioannis Kontoyiannis & Lambros Mertzanis & Athina Panotopoulou & Ioannis Papageorgiou & Maria Skoularidou, 2022. "Bayesian context trees: Modelling and exact inference for discrete time series," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(4), pages 1287-1323, September.
    14. Gabriela Dias Noske & Yun Song & Rafaela Sachetto Fernandes & Rod Chalk & Haitem Elmassoudi & Lizbé Koekemoer & C. David Owen & Tarick J. El-Baba & Carol V. Robinson & Glaucius Oliva & Andre Schutzer , 2023. "An in-solution snapshot of SARS-COV-2 main protease maturation process and inhibition," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    15. Eugene Song & Jae-Eun Lee & Seola Kwon, 2021. "Effect of Public Empathy with Infection-Control Guidelines on Infection-Prevention Attitudes and Behaviors: Based on the Case of COVID-19," IJERPH, MDPI, vol. 18(24), pages 1-18, December.
    16. Kow-Tong Chen, 2022. "Emerging Infectious Diseases and One Health: Implication for Public Health," IJERPH, MDPI, vol. 19(15), pages 1-4, July.
    17. Sui Zhang & Minghao Wang & Zhao Yang & Baolei Zhang, 2021. "A Novel Predictor for Micro-Scale COVID-19 Risk Modeling: An Empirical Study from a Spatiotemporal Perspective," IJERPH, MDPI, vol. 18(24), pages 1-16, December.
    18. Shujuan Li & Lingli Zhu & Lidan Zhang & Guoyan Zhang & Hongyan Ren & Liang Lu, 2023. "Urbanization-Related Environmental Factors and Hemorrhagic Fever with Renal Syndrome: A Review Based on Studies Taken in China," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    19. Umit Cirakli & Ibrahim Dogan & Mehmet Gozlu, 2022. "The Relationship Between COVID-19 Cases and COVID-19 Testing: a Panel Data Analysis on OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 1737-1750, September.
    20. Neeltje van Doremalen & Jonathan E. Schulz & Danielle R. Adney & Taylor A. Saturday & Robert J. Fischer & Claude Kwe Yinda & Nazia Thakur & Joseph Newman & Marta Ulaszewska & Sandra Belij-Rammerstorfe, 2022. "ChAdOx1 nCoV-19 (AZD1222) or nCoV-19-Beta (AZD2816) protect Syrian hamsters against Beta Delta and Omicron variants," Nature Communications, Nature, vol. 13(1), pages 1-12, 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:17:y:2020:i:21:p:8235-:d:441505. 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.