Abstract
This study explores malaria-related YouTube posts in Africa to identify patterns, themes and terms related to malaria.
Mixed method research was used where both qualitative and quantitative research paradigms were employed. Subject analysis method and Multidimensional scaling (MDS) technique were adapted in this study to discover themes and visualize related terms. Visual analyses were conducted at two levels: subject analysis within categories and category analysis among the categories in a malaria related schema. There were four resultant categories (Causes and facilitators of malaria pandemic, Methods of prevention and treatment of malaria, Effects of malaria, and Vulnerable population) from the subject analysis. The subject hierarchy and subcategories of the schema are associated with a group of relevant terms related to malaria in Africa.
The findings of this research study shed light on understanding malaria related information from the social media perspective, help users seek more relevant information on malaria, enrich existing thesaurus or subject headings by adding new terms related to malaria, and create a more user-oriented subject directory for malaria related portals or websites.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Bowler, L., Oh, J.S., He, D., Mattern, E., Jeng, W.: Eating disorder questions in Yahoo! answers: information, conversation, or reflection. Proc. Am. Soc. Inf. Sci. Technol. 49(1), 1–11 (2012)
Buja, A., Swayne, D., Littman, M., Dean, N., Hofmann, H., Chen, L.: Data visualization with multidimensional scaling. J. Comput. Graph. Stat. 17(2), 444–472 (2008)
CDC - Malaria - About Malaria (2020). https://www.cdc.gov/malaria/about/. Accessed 22 Sept 2020
Chan, A.K., Nickson, C.P., Rudolph, J.W., Lee, A., Joynt, G.M.: Social media for rapid knowledge dissemination: early experience from the COVID‐19 pandemic. Anaesthesia 75, 1579–1582 (2020)
Clifton, C.: Data mining. Encyclopedia Britanica, 26 September 2017. https://www.britannica.com/technology/data-mining. Accessed 14 Aug 2018
Coenen, F.: Data mining: past, present and future. Knowl. Eng. Rev. 26(1), 25–29 (2011)
Creswell, J.W.: Qualitative Inquiry and Research Design: Choosing among Five Approaches, 3rd edn. Sage Publications, Thousand Oaks (2013)
Creswell, J.W., Creswell, J.D.: Research design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage Publications, Thousand Oaks (2017)
Deng, Z., Liu, S.: Understanding consumer health information-seeking behavior from the perspective of the risk perception attitude framework and social support in mobile social media websites. Int. J. Med. Inf. 105, 98–109 (2017)
Esen, E., Aslan, M., Sonbahar, B., Kerimoğlu, R.: YouTube English videos as a source of information on breast self-examination. Breast Cancer Res. Treat. 173(3), 629–635 (2018). https://doi.org/10.1007/s10549-018-5044-z
Freeman, B., Chapman, S.: Is “YouTube” telling or selling you something? Tobacco content on the YouTube video-sharing website. Tobacco Control 16(3), 207–210 (2007)
Gul, M., Diri, M.A.: YouTube as a source of information about premature ejaculation treatment. J. Sex. Med. 16(11), 1734–1740 (2019)
Hansen, C., Johnson, Chris R.: The Visualization Handbook. Elsevier Butterworth-Heinemann, Burlington (2005)
Java, A., Song, X., Finin, T., Tseng, B.: Why we twitter: understanding microblogging usage and communities. In: Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis, pp. 56–65. ACM (2007)
Jaworska, N., Chupetlovska-Anastasova, A.: A review of multidimensional scaling (MDS) and its utility in various psychological domains. Tutorials in Quant. Methods Psychol. 5(1), 1–10 (2009)
Kaplan, A.M., Haenlein, M.: Users of the world, unite! The challenges and opportunities of social media. Bus. Horiz. 53(1), 59–68 (2010)
Kaur, H., Wasan, S.K.: Empirical study on applications of data mining techniques in healthcare. J. Comput. Sci. 2(2), 194–200 (2006)
Keir, A., Bamat, N., Patel, R.M., Elkhateeb, O., Roland, D.: Utilising social media to educate and inform healthcare professionals, policy-makers and the broader community in evidence-based healthcare. BMJ Evid. Based Med. 24(3), 87–89 (2019)
Kietzmann, J.H., Hermkens, K., McCarthy, I.P., Silvestre, B.S.: Social media? Get serious! Understanding the functional building blocks of social media. Bus. Horiz. 54(3), 241–251 (2011)
Koh, H.C., Tan, G.: Data mining applications in healthcare. J. Healthc. Inf. Manage. 19(2), 65 (2011)
Langford, A., Loeb, S.: Perceived patient-provider communication quality and sociodemographic factors associated with watching health-related videos on YouTube: a cross-sectional analysis. J. Med. Internet Res. 21(5), e13512 (2019)
Lin, W.Y., Zhang, X., Song, H., Omori, K.: Health information seeking in the Web 2.0 age: trust in social media, uncertainty reduction, and self-disclosure. Comput. Hum. Behav. 56, 289–294 (2016)
Lober, W.B., Flowers, J.L.: Consumer empowerment in health care amid the internet and social media. In: Seminars in Oncology Nursing, vol. 27, no. 3, pp. 169–182. WB Saunders (2011)
Lopes, A., Machado, J., Pinto, C.M.A., Galhano, A.M.S.F.: Multidimensional scaling visualization of earthquake phenomena. J. Seismol. 18(1), 163–179 (2014). https://doi.org/10.1007/s10950-013-9409-9
Mayo. Malaria (2018). https://www.mayoclinic.org/diseases-conditions/malaria/symptoms-causes/syc-20351184. Accessed 30 Sept 2020
McNamee, R., Parakilas, S.: The Facebook breach makes it clear: data must be regulated, The Guardian, 19 March 2018. https://theguardian.com/commentisfree/2018/mar/19/facebook-data-cambridge-analytica-privacy-breach. Accessed 21 Sept 2020
Mouchet, J.E.A.N., et al.: Evolution of malaria in Africa for the past 40 years: impact of climatic and human factors. J. Am. Mosq. Control Assoc. 14(2), 121 (1998)
Nghochuzie, N.N., Olwal, C.O., Udoakang, A.J., Amenga-Etego, L.N.K., Amambua-Ngwa, A.: Pausing the Fight against malaria to combat the COVID-19 pandemic in Africa: is the future of malaria bleak? Front. Microbiol. 11, 1476 (2020)
Oh, S., Zhang, Y., Park, M.: Health information needs on diseases: a coding schema development for analyzing health questions in social Q&A. In: Proceedings of the 75th Annual Conference of the American Society for Information Science & Technology, vol. 49, no. 1, pp. 1–4 (2012)
Paltoglou, G.: Sentiment analysis in social media. In: Agarwal, N., Lim, M., Wigand, R. (eds.) Online Collective Action. Lecture Notes in Social Networks. Springer, Vienna (2014). https://doi.org/10.1007/978-3-7091-1340-0_1
Priyantha, N.B., Balakrishnan, H., Demaine, E., Teller, S.: Anchor-free distributed localization in sensor networks. In: Proceedings of the 1st International Conference on Embedded Networked Sensor Systems, pp. 340–341. ACM (2003)
Rutten, L.J.F., Arora, N.K., Bakos, A.D., Aziz, N., Rowland, J.: Information needs and sources of information among cancer patients: a systematic review of research (1980–2003). Patient Educ. Counsel. 57(3), 250–261 (2005)
Saeed, N., Nam, H., Haq, M.I.U., Muhammad Saqib, D.B.: A survey on multidimensional scaling. ACM Comput. Surv. (CSUR) 51(3), 47 (2018)
Schiffman, S.S., Reynolds, M.L., Young, F.W.: Introduction to Multidimensional Scaling, pp. 74–82. Academic Press, New York (1981)
Smith, A.N., Fischer, E., Yongjian, C.: How does brand-related user-generated content differ across YouTube, Facebook, and Twitter? J. Interact. Market. 26(2), 102–113 (2012)
Snow, R.W., Craig, M.H., Newton, C.R.J.C., Steketee, R.W.: The public health burden of Plasmodium falciparum malaria in Africa. Working Paper 11. Disease Control Priorities Project. Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA (2003)
Steel, E., Fowler, G.A.: Facebook in Privacy Breach. Wall Street J., 18 October (2010). https://www.wsj.com/articles/SB10001424052702304772804575558484075236968. Accessed 04 Sept 2020
Tomar, D., Agarwal, S.: A survey on data mining approaches for healthcare. Int. J. Bio-Sci. Bio-Technol. 5(5), 241–266 (2013)
Webb, A.R., Copsey, K.D.: Introduction to statistical pattern recognition. In: Statistical Pattern Recognition, pp. 433–500. Wiley, Chichester (2011)
Weiss, D.J., et al.: Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa: a geospatial modelling analysis. Lancet Infect. Dis. 21, 59–69 (2020)
World Health Organization: World Malaria Report 2019 (2019). https://www.who.int/malaria/publications/world-malaria-report-2019/en/. Accessed 03 Oct 2020
Wu, T., Deng, Z., Zhang, D., Buchanan, P.R., Zha, D., Wang, R.: Seeking and using intention of health information from doctors in social media: the effect of doctor-consumer interaction. Int. J. Med. Inf. 115, 106–113 (2018)
Yoo, I., et al.: Data mining in healthcare and biomedicine: a survey of the literature. J. Med. Syst. 36(4), 2431–2448 (2012). https://doi.org/10.1007/s10916-011-9710-5
Young, F.W., Hamer, R.M.: Multidimensional Scaling: History Theory and Applications. Erlbaum, New York (1987)
YouTube, L. L. C.: YouTube (2011). https://www.YouTube.com/. Accessed 25 Sept 2020
Zhang, J.: Visualization for Information Retrieval. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-75148-9. Zhang, J., foreword by Edie Rasmussen (Information retrieval series)
Zhang, J., Chen, Y., Zhao, Y., Wolfram, D., Ma, F.: Public health and social media: a study of Zika virus-related posts on Yahoo! Answers. J. Assoc. Inf. Sci. Technol. 71(3), 282–299 (2020)
Zhang, J., Zhao, Y.: A user term visualization analysis based on a social question and answer log. Inf. Process. Manage. 49(5), 1019–1048 (2013)
Zhang, J., Wolfram, D.: Visual analysis of obesity‐related query terms on HealthLink. Online Information Review (2009).
Zhao, Y., Zhang, J.: Consumer health information seeking in social media: a literature review. Health Inf. Libr. J. 34(4), 268–283 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Omwando, B., Zhang, J. (2021). Analysis of Malaria Information on a Social Media Platform. In: Salvendy, G., Wei, J. (eds) Design, Operation and Evaluation of Mobile Communications. HCII 2021. Lecture Notes in Computer Science(), vol 12796. Springer, Cham. https://doi.org/10.1007/978-3-030-77025-9_25
Download citation
DOI: https://doi.org/10.1007/978-3-030-77025-9_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-77024-2
Online ISBN: 978-3-030-77025-9
eBook Packages: Computer ScienceComputer Science (R0)