Generation z's perceptions of health information about the Covid-19
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Keywords:
perception, health information, covid-19
Abstract
The COVID-19 pandemic has spread widely worldwide, and Indonesia is no exception. It has led the government to enforce an imperative policy, advising most activities to be done at home by everyone, including Generation Z, that has lived and grown up among the advances in communication and information technology. This study examines Generation Z's perceptions of health information regarding the COVID- 19 pandemic. This study was conducted utilising a quantitative research technique utilising a survey methodology. In this study, it was found that Generation Z firstly learned about the emergence of the COVID-19 virus on the internet, especially on social media. No negative perception was found from Generation Z related to any information shared on the internet, including their social media. Additionally, the study found that getting health information through social media was their choice, closely related to their daily activities.
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Atkinson, N. L., Saperstein, S. L., & Pleis, J. (2009). Using the internet for health-related activities: Findings from a national probability sample. Journal of Medical Internet Research. https://doi.org/10.2196/jmir.1035
Barahmand, N., Nakhoda, M., Fahimnia, F., & Nazari, M. (2019). Understanding everyday life information seeking behavior in the context of coping with daily hassles: A grounded theory study of female students. Library and Information Science Research. https://doi.org/10.1016/j.lisr.2019.100980
Buttorff, C., Ruder, T., & Bauman, M. (2017). Multiple Chronic Conditions in the United States. Multiple Chronic Conditions in the United States. https://doi.org/10.7249/tl221
Carpenter, J. P., Morrison, S. A., Craft, M., & Lee, M. (2020). How and why are educators using Instagram? Teaching and Teacher Education. https://doi.org/10.1016/j.tate.2020.103149
Cartright, M. A., White, R. W., & Horvitz, E. (2011). Intentions and attention in exploratory health search. In SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. https://doi.org/10.1145/2009916.2009929
Davies, C., Coleman, J., & Livingstone, S. (2016). Digital technologies in the lives of young people. Digital Technologies in the Lives of Young People. https://doi.org/10.4324/9781315779577
De Choudhury, M., Morris, M. R., & White, R. W. (2014). Seeking and sharing health information online. https://doi.org/10.1145/2556288.2557214
Duchastel, P. (2001). The Social Life of Information. European Journal of Communication. https://doi.org/10.1177/0267323101016003009
Feng, S., Wong, Y. K., Wong, L. Y., & Hossain, L. (2019). The Internet and Facebook Usage on Academic Distraction of College Students. Computers and Education. https://doi.org/10.1016/j.compedu.2019.02.005
Fox, S., & Purcell, K. (2010). Chronic Disease and the Internet. Quality. https://doi.org/10.1071/PY04018
Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to Design and Evaluate Research in Education, 8th Edition (2012). Climate Change 2013 - The Physical Science Basis.
Fuchs, C. (2011). Web 2.0, prosumption, and surveillance. Surveillance and Society. https://doi.org/10.24908/ss.v8i3.4165
Helsper, E. J., & Eynon, R. (2010). Digital natives: Where is the evidence? British Educational Research Journal. https://doi.org/10.1080/01411920902989227
Jonason, P. K., & Sherman, R. A. (2020). Personality and the perception of situations: The Big Five and Dark Triad traits. Personality and Individual Differences. https://doi.org/10.1016/j.paid.2020.110081
Jones, S., & Fox, S. (2009). Generations Online in 2009 Generational Differences in Online Activities Generations explained. Pew Internet & American Life Project An Initiative of the Pew Research Center.
Krikelas, J. (1983). Information-Seeking Behavior: Patterns and Concepts. Drexel Library Quarterly.
Kye, B., & Hwang, S. J. (2020). Social trust in the midst of pandemic crisis: Implications from COVID-19 of South Korea. Research in Social Stratification and Mobility, 68(June), 100523. https://doi.org/10.1016/j.rssm.2020.100523
Liddy, C., Blazkho, V., & Mill, K. (2014). Challenges of self-management when living with multiple chronic conditions: Systematic review of the qualitative literature. Canadian Family Physician.
Oneal, A., Rodgers, B., Segler, J., Murthy, D., Lakuduva, N., Johnson, M., & Stephens, K. (2019). Training an Emergency-Response Image Classifier on Signal Data. In Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018. https://doi.org/10.1109/ICMLA.2018.00119
Pang, N., Karanasios, S., & Anwar, M. (2019). Exploring the Information Worlds of Older Persons During Disasters. Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.24294
Park, M. S., Oh, H., & You, S. (2020). Health information seeking among people with multiple chronic conditions: Contextual factors and their associations mined from questions in social media. Library and Information Science Research. https://doi.org/10.1016/j.lisr.2020.101030
Pittman, M., & Reich, B. (2016). Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2016.03.084
Prensky, M. (2001). Digital Natives, Digital Immigrants Part 1. On the Horizon. https://doi.org/10.1108/10748120110424816
Rahmi, R., Joho, H., & Shirai, T. (2019). An analysis of natural disaster-related information-seeking behavior using temporal stages. Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.24155
Roy, K. C., Hasan, S., Sadri, A. M., & Cebrian, M. (2020). Understanding the efficiency of social media based crisis communication during hurricane Sandy. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2019.102060
Ryan, T., & Xenos, S. (2011). Who uses Facebook? An investigation into the relationship between the Big Five, shyness, narcissism, loneliness, and Facebook usage. In Computers in Human Behavior. https://doi.org/10.1016/j.chb.2011.02.004
Savolainen, R. (1995). Everyday life information seeking: Approaching information seeking in the context of "way of life." Library and Information Science Research. https://doi.org/10.1016/0740-8188(95)90048-9
Sherman, L. D., Patterson, M. S., Tomar, A., & Wigfall, L. T. (2020). Use of Digital Health Information for Health Information Seeking Among Men Living With Chronic Disease: Data From the Health Information National Trends Survey. American Journal of Men's Health, 14(1), 2147483647. https://doi.org/10.1177/1557988320901377
Smith, S. (2013). Determining Sample Size: How to Ensure You Get the Correct Sample Size. Qualtrics. https://doi.org/10.1016/S0894-1130(12)80119-0
Stephens, K. K., Li, J., Robertson, B. W., Smith, W. R., & Murthy, D. (2018). Citizens communicating health information: Urging others in their community to seek help during a flood. In Proceedings of the International ISCRAM Conference.
Xie, B., He, D., Mercer, T., Wang, Y., Wu, D., Fleischmann, K. R., … Lee, M. K. (2020). Global health crises are also information crises: A call to action. Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.24357
Yeoman, A. (2010). Applying mckenzie's model of information practices in everyday life information seeking in the context of the menopause transition. Information Research.
Published
2022-07-30
How to Cite
Nursanti, S., Dharta, F. Y., Chaerudin, C., Syam, S. P., & Purnama, R. N. (2022). Generation z’s perceptions of health information about the Covid-19. Jurnal Studi Komunikasi, 6(2), 587 - 602. https://doi.org/10.25139/jsk.v6i2.4903
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