A Preliminary Sentiment Analysis on Digital Barriers among Senior Citizens During Covid-19 Pandemic

  • Noorihan Abdul Rahman UiTM Kelantan Branch
  • Zuriani Ahmad Zukarnain UiTM Kelantan Branch
  • Suraya Husin UiTM Kelantan Branch
  • Marhainis Jamaludin UiTM Kelantan Branch
  • Nor Asma Mohd Zin UiTM Kelantan Branch
  • Borhanuddin Hj Ahmad Kelantan State Government-UiTM Strategic Research Partnership
Keywords: Digital Barriers, Senior Citizens, Digital Technology, Sentiment Analysis

Abstract

Nowadays, digital technology has been an important element in assisting the community in their daily routine. During the COVID-19 era, The Special Committee for Ensuring Access to COVID-19 Vaccine Supply (JKJAV) has been initiated to assist the health and well-being of Malaysian citizens in recovering from the COVID-19 pandemic. MySejahtera, a healthcare application technology, has been used by Malaysian citizens for seeking vaccination information as well as updating their health status. While there are benefits to using the application, there is still a challenge in using the technology among senior citizens. This study aims to investigate digital barriers to using a healthcare application, known as MySejahtera, among senior citizens in Kelantan. This study also reveals lessons learned regarding the use of technology among senior citizens during the Covid-19 era. Convergent parallel mixed method research design is initiated to produce a sentiment analysis for identifying digital barriers issues and challenges among senior citizens in Kelantan. 5 respondents aged from 60 to 80 years old were interviewed to obtain their sentiments on using digital technology for vaccination information and Covid-19 news. This study highlights issues namely awareness of knowledge, misconception about digital technology, information quality and technology usage among the senior citizens in Kelantan. This study summarizes that there is a need to reduce digital barriers among senior citizens to ensure digital inclusion for their benefit in health and well-being.

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References

Acilar, A., & Sæbø, Ø. (2023). Towards understanding the gender digital divide: A systematic literature review. Global Knowledge, Memory and Communication, 72(3), 233–249.
Ahmad, N., Rahman, A. B., Jasman, N., Zaman Salleh, K., Harun, S. N., & Krishnan, M. (2020). Usage of the Internet for health information seeking among the elderly in Malaysia. EPRA Int J Multidiscip Res, 6, 187–193.
Calderón Gómez, D. (2018). The three levels of the digital divide: barriers in access, use and utility of internet among young people in Spain.
Collazos, C., Guerrero, L., Pino, J., & Ochoa, S. (2002). Introducing shared-knowledge awareness. IASTED International Conference: Information and Knowledge Sharing, 13–18.
Coventry, A. J., Leung, C., Zuniga, B., Hsu, K., & Gonzales, A. L. (2022). Coping with disruption: What this new world says about digital divide theory. International Journal of Communication, 16, 20.
del Portillo, I., Eiskowitz, S., Crawley, E. F., & Cameron, B. G. (2021). Connecting the other half: Exploring options for 50% of the population unconnected to the internet. Telecommunications Policy, 45(3), 102092. https://doi.org/https://doi.org/10.1016/j.telpol.2020.102092
Fauziyyah, A. K. (2020). Analisis sentimen pandemi Covid19 pada streaming Twitter dengan text mining Python. Jurnal Ilmiah SINUS, 18(2), 31–42.
Fowe, I. E., & Boot, W. R. (2022). Understanding older adults’ attitudes toward mobile and wearable technologies to support health and cognition. Frontiers in Psychology, 13, 1036092.
Frishammar, J., Essén, A., Bergström, F., & Ekman, T. (2023). Digital health platforms for the elderly? Key adoption and usage barriers and ways to address them. Technological Forecasting and Social Change, 189, 122319. https://doi.org/https://doi.org/10.1016/j.techfore.2023.122319
Gan, W. H., & Seah, B. Z. Q. (2024). Adopting a “Digital First” Mindset for Workplace Safety and Health in Singapore. Journal of UOEH, 46(1), 55–65.
Grey, E., Baber, F., Corbett, E., Ellis, D., Gillison, F., & Barnett, J. (2024). The use of technology to address loneliness and social isolation among older adults: the role of social care providers. BMC Public Health, 24(1), 108.
Guner, H., & Acarturk, C. (2020). The use and acceptance of ICT by senior citizens: a comparison of technology acceptance model (TAM) for elderly and young adults. Universal Access in the Information Society, 19(2), 311-330.
Harris, M. T., Blocker, K. A., & Rogers, W. A. (2022). Older Adults and Smart Technology: Facilitators and Barriers to Use. In Frontiers in Computer Science (Vol. 4). https://www.frontiersin.org/articles/10.3389/fcomp.2022.835927
Ibukun E. Fowe, and W. R. B. (2022). Understanding older adults’ attitudes toward mobile and wearable technologies to support health and cognition. Frontier in Psychology, 13, 9.
Jiang, G., Liu, F., Liu, W., Liu, S., Chen, Y., & Xu, D. (2021). Effects of information quality on information adoption on social media review platforms: The moderating role of perceived risk. Data Science and Management, 1(1), 13–22.
Kaushik, A. (2022). The Usage of Technology by the Senior Citizens: Opportunities and Challenges BT - Evolution of Digitized Societies Through Advanced Technologies (A. Choudhury, T. P. Singh, A. Biswas, & M. Anand (eds.); pp. 75–85). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-2984-7_7
Kumar, R. S., Saviour Devaraj, A. F., Rajeswari, M., Julie, E. G., Robinson, Y. H., & Shanmuganathan, V. (2021). Exploration of sentiment analysis and legitimate artistry for opinion mining. Multimedia Tools and Applications, 1–16.
Lai, W. X., Visaria, A., Østbye, T., & Malhotra, R. (2023). Prevalence and correlates of use of digital technology for managing hypertension among older adults. Journal of Human Hypertension, 37(1), 80–87.
Lee, C. K., Lee, A. S. H., & Lee, C. E. C. (2021). Internet Usage Among Senior Citizens During Covid-19. 2021 7th International Conference on Research and Innovation in Information Systems (ICRIIS), 1–6. https://doi.org/10.1109/ICRIIS53035.2021.9617031
Lohar, P., Afli, H., & Way, A. (2017). Maintaining sentiment polarity in the translation of user-generated content. Prague Bulletin of Mathematical Linguistics, 108, 73–84.
Medhat, W., Hassan, A., & Korashy, H. (2014). Sentiment analysis algorithms and applications: A survey. Ain Shams Engineering Journal, 5(4), 1093–1113. https://doi.org/10.1016/j.asej.2014.04.011
Nandwani, P., & Verma, R. (2021). A review on sentiment analysis and emotion detection from text. Social Network Analysis and Mining, 11(1), 81.
Ndoya, H., & Asongu, S. A. (2024). Digital divide, globalization and income inequality in sub-Saharan African countries: analyzing cross-country heterogeneity. Social Responsibility Journal, 20(1), 1–19.
Niehaves, B., & Plattfaut, R. (2010). The age divide in private Internet usage: A quantitative study of technology acceptance.
P?nar, A. (2024). Determinants and Impacts of Technological Inequalities: A Review on the Digital Divide. Uluslararas? Sosyal Siyasal ve Mali Ara?t?rmalar Dergisi, 4(1), 28–43.
Rahman, N. A. (2014). Requirements elicitation process for social interaction in collaborative activities in support of e-learning domain.
Razu, S. R., Nishu, N. A., Rabbi, M. F., Talukder, A., & Ward, P. R. (2021). Knowledge, attitudes, and practices concerning COVID-19 in Bangladesh: a qualitative study of patients with chronic illnesses. Frontiers in Public Health, 9, 628623.
Reddy, H., Joshi, S., Joshi, A., & Wagh, V. (2022). A critical review of the global digital divide and the role of technology in healthcare. Cureus, 14(9).
Renaud, K., & Van Biljon, J. (2008, October). Predicting technology acceptance and adoption by the elderly: a qualitative study. In Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology (pp. 210-219).
Sánchez-Rada JF, Iglesias CA (2019) Social context in sentiment analysis: formal definition, overview of current trends and framework for comparison. Inf Fusion 52:344–356
Thomä, J. (2023). An urban-rural divide (or not?): Small firm location and the use of digital technologies. Journal of Rural Studies, 97, 214–223.
Thomas, D., Chowdhury, G., & Ruthven, I. (2023). Exploring older people’s challenges on online banking/finance systems: Early findings. Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 333–337.
Thomas, R., Michaleff, Z. A., Greenwood, H., Abukmail, E., & Glasziou, P. (2020). Concerns and misconceptions about the Australian government’s COVID safe app: Cross-sectional survey study. JMIR Public Health and Surveillance, 6(4), e23081.
Uzule, K., & Verina, N. (2023). Digital barriers in digital transition and digital transformation: Literature review. Economics and Culture, 20(1), 125–143.
Van Dijk, J. (2020). The digital divide. John Wiley & Sons.
Vassilakopoulou, P., & Hustad, E. (2023). Bridging digital divides: A literature review and research agenda for information systems research. Information Systems Frontiers, 25(3), 955-969.
Wahid, A. S. (2021). 1,800 warga emas, golongan berisiko gagal hadir janji temu suntikan vaksin.Sinar Harian. https://www.sinarharian.com.my/article/138740/KHAS/Covid-19/1800-warga-emas-golongan-berisiko-gagal-hadir-janji-temu-suntikan-vaksin
Zhao, Y., Zhang, T., Dasgupta, R. K., & Xia, R. (2023). Narrowing the age?based digital divide: Developing digital capability through social activities. Information Systems Journal, 33(2), 268–298.
Published
2024-10-01
How to Cite
Abdul Rahman, N., Zukarnain, Z. A., Husin, S., Jamaludin, M., Zin, N. A. M., & Ahmad, B. H. (2024). A Preliminary Sentiment Analysis on Digital Barriers among Senior Citizens During Covid-19 Pandemic. Information Management and Business Review, 16(3(I)S), 241-249. https://doi.org/10.22610/imbr.v16i3(I)S.4029
Section
Research Paper