IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i15p5440-d391089.html
   My bibliography  Save this article

Topic Modeling and User Network Analysis on Twitter during World Lupus Awareness Day

Author

Listed:
  • Salvatore Pirri

    (Institute of Management, Scuola Superiore Sant’Anna, 56127 Pisa, Italy)

  • Valentina Lorenzoni

    (Institute of Management, Scuola Superiore Sant’Anna, 56127 Pisa, Italy)

  • Gianni Andreozzi

    (Institute of Management, Scuola Superiore Sant’Anna, 56127 Pisa, Italy)

  • Marta Mosca

    (Rheumatology Unit, Department of Clinical and Experimental Medicine, Università di Pisa, 56126 Pisa, Italy)

  • Giuseppe Turchetti

    (Institute of Management, Scuola Superiore Sant’Anna, 56127 Pisa, Italy)

Abstract

Twitter is increasingly used by individuals and organizations to broadcast their feelings and practices, providing access to samples of spontaneously expressed opinions on all sorts of themes. Social media offers an additional source of data to unlock information supporting new insights disclosures, particularly for public health purposes. Systemic lupus erythematosus (SLE) is a complex, systemic autoimmune disease that remains a major challenge in therapeutic diagnostic and treatment management. When supporting patients with such a complex disease, sharing information through social media can play an important role in creating better healthcare services. This study explores the nature of topics posted by users and organizations on Twitter during world Lupus day to extract latent topics that occur in tweet texts and to identify what information is most commonly discussed among users. We identified online influencers and opinion leaders who discussed different topics. During this analysis, we found two different types of influencers that employed different narratives about the communities they belong to. Therefore, this study identifies hidden information for healthcare decision-makers and provides a detailed model of the implications for healthcare organizations to detect, understand, and define hidden content behind large collections of text.

Suggested Citation

  • Salvatore Pirri & Valentina Lorenzoni & Gianni Andreozzi & Marta Mosca & Giuseppe Turchetti, 2020. "Topic Modeling and User Network Analysis on Twitter during World Lupus Awareness Day," IJERPH, MDPI, vol. 17(15), pages 1-18, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5440-:d:391089
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/15/5440/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/15/5440/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Weiai Xu & I-Hsuan Chiu & Yixin Chen & Tanuka Mukherjee, 2015. "Twitter hashtags for health: applying network and content analyses to understand the health knowledge sharing in a Twitter-based community of practice," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1361-1380, July.
    2. Arora, Anuja & Bansal, Shivam & Kandpal, Chandrashekhar & Aswani, Reema & Dwivedi, Yogesh, 2019. "Measuring social media influencer index- insights from facebook, Twitter and Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 86-101.
    3. Kristina Eriksson-Backa & Kim Holmberg & Stefan Ek, 2016. "Communicating diabetes and diets on Twitter - a semantic content analysis," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 16(1), pages 8-24.
    4. Edoardo M. Airoldi & Jonathan M. Bischof, 2016. "Improving and Evaluating Topic Models and Other Models of Text," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1381-1403, October.
    5. Hajer Kefi & Sitesh Indra & Talel Abdessalem, 2016. "Social media marketing analytics : a multicultural approach applied to the beauty & cosmetic sector," Post-Print hal-01456580, HAL.
    6. Fletcher-Brown, Judith & Pereira, Vijay & Nyadzayo, Munyaradzi W., 2018. "Health marketing in an emerging market: The critical role of signaling theory in breast cancer awareness," Journal of Business Research, Elsevier, vol. 86(C), pages 416-434.
    7. Smolinski, M.S. & Crawley, A.W. & Baltrusaitis, K. & Chunara, R. & Olsen, J.M. & Wójcik, O. & Santillana, M. & Nguyen, A. & Brownstein, J.S., 2015. "Flu near you: Crowdsourced symptom reporting spanning 2 influenza seasons," American Journal of Public Health, American Public Health Association, vol. 105(10), pages 2124-2130.
    8. Stockl, Andrea, 2007. "Complex syndromes, ambivalent diagnosis, and existential uncertainty: The case of Systemic Lupus Erythematosus (SLE)," Social Science & Medicine, Elsevier, vol. 65(7), pages 1549-1559, October.
    9. Manoj Thomas & Poornima Narayan, 2016. "The Role of Participatory Communication in Tracking Unreported Reproductive Tract Issues in Marginalized Communities," Information Technology for Development, Taylor & Francis Journals, vol. 22(1), pages 117-133, January.
    10. Ashish K. Rathore & Arpan K. Kar & P. Vigneswara Ilavarasan, 2017. "Social Media Analytics: Literature Review and Directions for Future Research," Decision Analysis, INFORMS, vol. 14(4), pages 229-249, December.
    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. Katharina Baum & Annika Baumann & Katharina Batzel, 2024. "Investigating Innovation Diffusion in Gender-Specific Medicine: Insights from Social Network Analysis," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(3), pages 335-355, June.
    2. Ruheng Yin & Rui Tian & Jing Wu & Feng Gan, 2022. "Exploring the Factors Associated with Mental Health Attitude in China: A Structural Topic Modeling Approach," IJERPH, MDPI, vol. 19(19), pages 1-15, October.
    3. Xu Xu & Zhigang Li & Rui Wang & Li Zhao, 2021. "Analysis of the Evolution of User Emotion and Opinion Leaders’ Information Dissemination Behavior in the Knowledge Q&A Community during COVID-19," IJERPH, MDPI, vol. 18(22), pages 1-18, November.

    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. Grover, Purva & Kar, Arpan Kumar & Davies, Gareth, 2018. "“Technology enabled Health” – Insights from twitter analytics with a socio-technical perspective," International Journal of Information Management, Elsevier, vol. 43(C), pages 85-97.
    2. Puklavec, Žiga & Kogler, Christoph & Stavrova, Olga & Zeelenberg, Marcel, 2023. "What we tweet about when we tweet about taxes: A topic modelling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 1242-1254.
    3. Irina Wedel & Michael Palk & Stefan Voß, 2022. "A Bilingual Comparison of Sentiment and Topics for a Product Event on Twitter," Information Systems Frontiers, Springer, vol. 24(5), pages 1635-1646, October.
    4. Federico Maria Ferrara & Jörg S Haas & Andrew Peterson & Thomas Sattler, 2022. "Exports vs. Investment: How Public Discourse Shapes Support for External Imbalances," Post-Print hal-02569351, HAL.
    5. Kuchler, Theresa & Russel, Dominic & Stroebel, Johannes, 2022. "JUE Insight: The geographic spread of COVID-19 correlates with the structure of social networks as measured by Facebook," Journal of Urban Economics, Elsevier, vol. 127(C).
    6. Andrea C. Hupman, 2022. "Cutoff Threshold Decisions for Classification Algorithms with Risk Aversion," Decision Analysis, INFORMS, vol. 19(1), pages 63-78, March.
    7. Sasikiran Kandula & Jeffrey Shaman, 2019. "Reappraising the utility of Google Flu Trends," PLOS Computational Biology, Public Library of Science, vol. 15(8), pages 1-16, August.
    8. Muniesa, Rocio L. & Giménez, Carmen G., 2020. "The Importance Of The Loyalty Of Fashion Brands Through Digital Marketing," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 8(3), pages 230-243.
    9. Dehler-Holland, Joris & Schumacher, Kira & Fichtner, Wolf, 2021. "Topic Modeling Uncovers Shifts in Media Framing of the German Renewable Energy Act," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2(1).
    10. Ki, Chung-Wha (Chloe) & Cuevas, Leslie M. & Chong, Sze Man & Lim, Heejin, 2020. "Influencer marketing: Social media influencers as human brands attaching to followers and yielding positive marketing results by fulfilling needs," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    11. Tafesse, Wondwesen & Wood, Bronwyn P., 2021. "Followers' engagement with instagram influencers: The role of influencers’ content and engagement strategy," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    12. Choi, Hyunhong & Woo, JongRoul, 2022. "Investigating emerging hydrogen technology topics and comparing national level technological focus: Patent analysis using a structural topic model," Applied Energy, Elsevier, vol. 313(C).
    13. Rocco Agrifoglio & Paola Briganti & Concetta Metallo & Luisa Varriale, 2023. "Virtual healthcare communities of practice: An Italian experience during the Covid-19 pandemic," MECOSAN, FrancoAngeli Editore, vol. 2023(125), pages 11-28.
    14. Barta, Sergio & Belanche, Daniel & Fernández, Ana & Flavián, Marta, 2023. "Influencer marketing on TikTok: The effectiveness of humor and followers’ hedonic experience," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    15. Ferrara, Federico M. & Masciandaro, Donato & Moschella, Manuela & Romelli, Davide, 2022. "Political voice on monetary policy: Evidence from the parliamentary hearings of the European Central Bank," European Journal of Political Economy, Elsevier, vol. 74(C).
    16. Camilla Salvatore & Silvia Biffignandi & Annamaria Bianchi, 2022. "Corporate Social Responsibility Activities Through Twitter: From Topic Model Analysis to Indexes Measuring Communication Characteristics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1217-1248, December.
    17. Pantano, Eleonora & Priporas, Constantinos-Vasilios & Devereux, Luke & Pizzi, Gabriele, 2021. "Tweets to escape: Intercultural differences in consumer expectations and risk behavior during the COVID-19 lockdown in three European countries," Journal of Business Research, Elsevier, vol. 130(C), pages 59-69.
    18. Farivar, Samira & Wang, Fang & Yuan, Yufei, 2021. "Opinion leadership vs. para-social relationship: Key factors in influencer marketing," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    19. Steffen Nauhaus & Johannes Luger & Sebastian Raisch, 2021. "Strategic Decision Making in the Digital Age: Expert Sentiment and Corporate Capital Allocation," Journal of Management Studies, Wiley Blackwell, vol. 58(7), pages 1933-1961, November.
    20. Lim, Weng Marc & Rasul, Tareq, 2022. "Customer engagement and social media: Revisiting the past to inform the future," Journal of Business Research, Elsevier, vol. 148(C), pages 325-342.

    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:15:p:5440-:d:391089. 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.