IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i6p3643-d775413.html
   My bibliography  Save this article

Thematic Analysis as a New Culturomic Tool: The Social Media Coverage on COVID-19 Pandemic in Italy

Author

Listed:
  • Massimo Aria

    (Department of Economics and Statistics, University of Naples Federico II, 80126 Naples, Italy
    K-Synth Spin-Off, University of Naples Federico II, 80126 Naples, Italy)

  • Corrado Cuccurullo

    (K-Synth Spin-Off, University of Naples Federico II, 80126 Naples, Italy
    Department of Economics, University of Campania Luigi Vanvitelli, 81043 Capua, Italy)

  • Luca D’Aniello

    (K-Synth Spin-Off, University of Naples Federico II, 80126 Naples, Italy
    Department of Social Sciences, University of Naples Federico II, 80138 Naples, Italy)

  • Michelangelo Misuraca

    (Department of Business Administration and Law, University of Calabria, 87036 Arcavacata di Rende, Italy)

  • Maria Spano

    (Department of Economics and Statistics, University of Naples Federico II, 80126 Naples, Italy
    K-Synth Spin-Off, University of Naples Federico II, 80126 Naples, Italy)

Abstract

The COVID-19 pandemic influenced people’s everyday lives because of the health emergency and the resulting socio-economic crisis. People use social media to share experiences and search for information about the disease more than before. This paper aims at analysing the discourse on COVID-19 developed in 2020 by Italian tweeters, creating a digital storytelling of the pandemic. Employing thematic analysis , an approach used in bibliometrics to highlight the conceptual structure of a research domain, different time slices have been described, bringing out the most discussed topics. The graphical mapping of these topics allowed obtaining an easily readable representation of the discourse, paving the way for novel uses of thematic analyses in social sciences.

Suggested Citation

  • Massimo Aria & Corrado Cuccurullo & Luca D’Aniello & Michelangelo Misuraca & Maria Spano, 2022. "Thematic Analysis as a New Culturomic Tool: The Social Media Coverage on COVID-19 Pandemic in Italy," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3643-:d:775413
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/6/3643/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/6/3643/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pelagatti, Matteo & Maranzano, Paolo, 2021. "Assessing the effectiveness of the Italian risk-zones policy during the second wave of COVID-19," Health Policy, Elsevier, vol. 125(9), pages 1188-1199.
    2. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    3. Leo Egghe, 2010. "On the relation between the association strength and other similarity measures," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1502-1504, July.
    4. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    5. Massimo Aria & Michelangelo Misuraca & Maria Spano, 2020. "Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 803-831, June.
    6. Leo Egghe, 2010. "On the relation between the association strength and other similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(7), pages 1502-1504, July.
    7. Inmaculada Gutiérrez & Juan Antonio Guevara & Daniel Gómez & Javier Castro & Rosa Espínola, 2021. "Community Detection Problem Based on Polarization Measures: An Application to Twitter: The COVID-19 Case in Spain," Mathematics, MDPI, vol. 9(4), pages 1-27, February.
    8. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
    9. Scott Deerwester & Susan T. Dumais & George W. Furnas & Thomas K. Landauer & Richard Harshman, 1990. "Indexing by latent semantic analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 391-407, September.
    10. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    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. Omolola M. Adeola & Abel Ramoelo & Brian Mantlana & Oscar Mokotedi & Wongalethu Silwana & Philemon Tsele, 2022. "Review of Publications on the Water-Energy-Food Nexus and Climate Change Adaptation Using Bibliometric Analysis: A Case Study of Africa," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    2. Oludapo, Samson & Carroll, Noel & Helfert, Markus, 2024. "Why do so many digital transformations fail? A bibliometric analysis and future research agenda," Journal of Business Research, Elsevier, vol. 174(C).
    3. Rocco Mazza & Roberta Pace & Anna Paterno, 2023. "Themes and policies on population ageing: a bibliometric approach," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 77(2), pages 33-43, April-Jun.
    4. Karen Castañeda & Omar Sánchez & Rodrigo F. Herrera & Guillermo Mejía, 2022. "Highway Planning Trends: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(9), pages 1-33, May.

    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. Karen Castañeda & Omar Sánchez & Rodrigo F. Herrera & Guillermo Mejía, 2022. "Highway Planning Trends: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(9), pages 1-33, May.
    2. Cristina Mele & Jaqueline Pels & Maria Spano & Irene Bernardo, 2023. "Emergent understandings of the market," Italian Journal of Marketing, Springer, vol. 2023(1), pages 1-25, March.
    3. Paola Bernardi & Alberto Bertello & Canio Forliano & Ludovico Bullini Orlandi, 2022. "Beyond the “ivory tower”. Comparing academic and non-academic knowledge on social entrepreneurship," International Entrepreneurship and Management Journal, Springer, vol. 18(3), pages 999-1032, September.
    4. Jingyuan Yu & Juan Muñoz-Justicia, 2020. "A Bibliometric Overview of Twitter-Related Studies Indexed in Web of Science," Future Internet, MDPI, vol. 12(5), pages 1-18, May.
    5. Luís Farinha & João Renato Sebastião & Carlos Sampaio & João Lopes, 2020. "Social innovation and social entrepreneurship: discovering origins, exploring current and future trends," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 17(1), pages 77-96, March.
    6. Johnson Ankrah & Ana Monteiro & Helena Madureira, 2022. "Bibliometric Analysis of Data Sources and Tools for Shoreline Change Analysis and Detection," Sustainability, MDPI, vol. 14(9), pages 1-23, April.
    7. Vuong, Quan-Hoang & Huyen, Nguyen Thanh Thanh & Pham, Thanh-Hang & Phuong, Luong Anh & Nguyen, Minh-Hoang, 2020. "Mapping the intellectual and conceptual structure of research on gender issues in the family business: A bibliometric review," OSF Preprints jgnrw, Center for Open Science.
    8. Chungil Chae & Jeong-Ha Yim & Jaeeun Lee & Sung Jun Jo & Jeong Rok Oh, 2020. "The Bibliometric Keywords Network Analysis of Human Resource Management Research Trends: The Case of Human Resource Management Journals in South Korea," Sustainability, MDPI, vol. 12(14), pages 1-37, July.
    9. Mikel Alayo & Txomin Iturralde & Amaia Maseda & Gloria Aparicio, 2021. "Mapping family firm internationalization research: bibliometric and literature review," Review of Managerial Science, Springer, vol. 15(6), pages 1517-1560, August.
    10. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    11. Hugo Palácios & Helena de Almeida & Maria José Sousa, 2021. "A Bibliometric Analysis of Service Climate as a Sustainable Competitive Advantage in Hospitality," Sustainability, MDPI, vol. 13(21), pages 1-27, November.
    12. Omolola M. Adisa & Muthoni Masinde & Joel O. Botai & Christina M. Botai, 2020. "Bibliometric Analysis of Methods and Tools for Drought Monitoring and Prediction in Africa," Sustainability, MDPI, vol. 12(16), pages 1-22, August.
    13. Gessler, Michael & Nägele, Christof & Stalder, Barbara, 2021. "Scoping review on research at the boundary between learning and working: A bibliometric mapping analysis of the last decade," International Journal for Research in Vocational Education and Training (IJRVET), European Research Network in Vocational Education and Training (VETNET), European Educational Research Association, vol. 8(4), pages 170-206.
    14. Valentina Della Corte & Giovanna Del Gaudio & Fabiana Sepe & Fabiana Sciarelli, 2019. "Sustainable Tourism in the Open Innovation Realm: A Bibliometric Analysis," Sustainability, MDPI, vol. 11(21), pages 1-18, November.
    15. Antonio Molina-García & Julio Diéguez-Soto & M. Teresa Galache-Laza & Marta Campos-Valenzuela, 2023. "Financial literacy in SMEs: a bibliometric analysis and a systematic literature review of an emerging research field," Review of Managerial Science, Springer, vol. 17(3), pages 787-826, April.
    16. Pooja Goel & Aashish Garg & Nidhi Walia & Rajwinder Kaur & Mehak Jain & Simarjeet Singh, 2022. "Contagious diseases and tourism: a systematic review based on bibliometric and content analysis methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3085-3110, October.
    17. Belfiore, Alessandra & Cuccurullo, Corrado & Aria, Massimo, 2022. "IoT in healthcare: A scientometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    18. Cristian Colliander & Per Ahlgren, 2012. "Experimental comparison of first and second-order similarities in a scientometric context," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 675-685, February.
    19. Büşra Ayan & Elif Güner & Semen Son-Turan, 2022. "Blockchain Technology and Sustainability in Supply Chains and a Closer Look at Different Industries: A Mixed Method Approach," Logistics, MDPI, vol. 6(4), pages 1-39, December.
    20. La Ode Nazaruddin & Balázs Gyenge & Maria Fekete-Farkas & Zoltán Lakner, 2023. "The Future Direction of Halal Food Additive and Ingredient Research in Economics and Business: A Bibliometric Analysis," Sustainability, MDPI, vol. 15(7), pages 1-40, March.

    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:jsusta:v:14:y:2022:i:6:p:3643-:d:775413. 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.