The Preference of Social Networking Sites and Uncertainty Reduction Strategies Towards Information on COVID-19 Vaccination
Abstract
At the end of 2019, the world showcased a lethal outbreak of COVID-19, which was announced by the World Health Organization (WHO) as a pandemic in March 2020. As this outbreak has spread worldwide, including in Malaysia, several alternatives were undertaken by the government to curb this spread including introduce a vaccination program for the community. This program is believed to make most of the community worried or uncertain since it is still newly introduced. In reducing people's worries and uncertainties regarding COVID-19 vaccination, searching for information via social networking sites (SNS) will likely reduce their uncertainty. This study aims to determine the most preferred SNS used by people of middle age to reduce uncertainty regarding information on COVID-19 vaccination. This study also aimed to identify the factors that contribute to middle-aged people's preferences for SNS to reduce their uncertainty about COVID-19 vaccination, as well as the uncertainty reduction strategies (URSs) used by middle-aged people over preferred SNS to reduce their level of uncertainty about COVID-19 vaccination. Uncertainty Reduction Theory was used as the underpinning theory for this study. This study employed a qualitative approach in which an in-depth e-interview was conducted over a Google Meet platform. The results showed that Facebook is the most preferred SNS the informants use to reduce uncertainty regarding COVID-19 vaccination. This study also found information authority to be the most important factor for SNS preference. Finally, the study also discovered that the passive strategy is the most commonly employed method used by informants to reduce information uncertainties regarding COVID-19 vaccination.
Keywords: COVID-19, vaccination, social networking sites, Uncertainty Reduction Theory, information.
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Athukorala, A. W. V. (2018). Factors affecting use of social media by university students: A Study at Wuhan University of China. Journal of the University Librarians Association of Sri Lanka, 21(2), 44–72. https://doi.org/10.4038/jula.v21i2.7917
Antheunis, M. L., Valkenburg, P. M., & Peter, J. (2010). Getting acquainted through social network sites: Testing a model of online uncertainty reduction and social attraction. Computers in Human Behavior, 26(1), 100-109.
Berger, C. R., & Calabrese, R. J. (1974). Some explorations in initial interaction and beyond: Toward a developmental theory of interpersonal communication. Human Communication Research, 1(2), 99-112.
Berger, C. R., (2011). From explanation to application. Journal of Applied Communication Research, 39, 214-222.
Bridgman, A., Merkley, E., Loewen, P. J., Owen, T., Ruths, D., Teichmann, L., & Zhilin, O. (2020). The causes and consequences of COVID-19 misperceptions: Understanding the role of news and social media. Harvard Kennedy School Misinformation Review, 1(3). https://doi.org/10.37016/mr-2020-028
Cabrera, M. (2020). Uncertainty reduction in initial interactions. McNair Summer Research Program, 4. https://digital.sandiego.edu/mcnair-summer/4
Cha, J. (2010). Factors affecting the frequency and amount of social networking site use: Motivations, perceptions, and privacy concerns. First Monday, 15(12). https://doi.org/10.5210/fm.v15i12.2889
Cho, H., Roh, S., & Park, B. (2019). Promoting networking and protecting privacy: Effects of defaults and regulatory focus on social media users’ preference settings. Computers in Human Behavior, 101, 1–13. https://doi.org/10.1016/j.chb.2019.07.001
Chou, W.-Y. S., Gaysynsky, A., & Vanderpool, R. C. (2020). The COVID-19 misinfodemic: Moving beyond fact-checking. Health Education & Behavior, 48(1), 9-13. https://doi.org/10.1177/1090198120980675
Creswell, J. (1998). Qualitative inquiry and research design: Choosing among five traditions. Thousand Oaks, CA: Sage.
Emmers, T. E., & Canary, D. D. (1996). The effect of uncertainty reducing strategies on young couples’ relational repair and intimacy. Communication Quarterly, 44, 166-182.
Flanagin, A. J. (2007). Commercial markets as communication markets: Uncertainty reduction through mediated information exchange in online auctions. New Media & Society, 9(3), 401-423.
Fox, J., & Anderegg, C. (2014). Romantic relationship stages and social networking sites: Uncertainty reduction strategies and perceived relational norms on Facebook. Cyberpsychology, Behavior, and Social Networking, 17(11), 685–691. https://doi.org/10.1089/cyber.2014.0232
Frampton, J. R., & Fox, J. (2018). Social media’s role in romantic partners’ retroactive jealousy: Social comparison, uncertainty, and information seeking. Social Media + Society, 4(3). https://doi.org/10.1177/2056305118800317
Griffin, E. (2015). Chapter 10: Uncertainty Reduction Theory of Charles Berger. In, A first look at communication theory (8th ed., pp. 125–136). McGraw-Hill.
Gu, R., Oh, L. B., & Wang, K. (2016). Multi-homing on SNSs: the role of optimum stimulation level and perceived complementarity in need gratification. Information & Management, 53(6), 752-766.
Gui, X., Kou, Y., Pine, K. H., & Chen, Y. (2017). Managing uncertainty: Using social media for risk assessment during a public health crisis. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems - CHI ’17 May (pp. 4520–4533). https://doi.org/10.1145/3025453.3025891
Hong, M., Steedle, J. T., & Cheng, Y. (2020). Methods of detecting insufficient effort responding: Comparisons and practical recommendations. Educational and Psychological Measurement, 80(2), 312-345. https://doi.org/ggjw7j
Hou, J., Ndasauka, Y., Pan, X., Chen, S., Xu, F., & Zhang, X. (2018). Weibo or WeChat? Assessing preference for social networking sites and role of personality traits and psychological factors. Frontiers in Psychology, 9, 545. https://doi.org/10.3389/fpsyg.2018.00545
Ismajli, H., & Morina, I. (2018). Differentiated instruction: Understanding and applying interactive strategies to meet the needs of all the students. International Journal of Instruction, 11(3), 207-218. https://doi.org/10.12973/iji.2018.11315a
Knobloch, L. K. (2005). Evaluating a contextual model of responses to relational uncertainty increasing events. Hum. Communication. Res., 31, 60–101.
Kramer, M. W., Lee, S. K., & Guo, Y. (2018). Using communication technology to manage uncertainty during organizational assimilation: Information-Seeking and Information-Giving. Western Journal of Communication, 83(3), 304-325. https://doi.org/gfz6kn
Lu, L., Liu, J., Yuan, Y. C., Burns, K. S., Lu, E., & Li, D. (2020). Source trust and COVID-19 information sharing: The mediating roles of emotions and beliefs about sharing. Health Education & Behavior, 48(2), 132–139.
Mari, S., Gil de Zuniga, H., Suerdem, A., Hanke, K., Brown, G., Vilar, R., ... & Bilewicz, M. (2022). Conspiracy theories and institutional trust: Examining the role of uncertainty avoidance and active social media use. Political Psychology, 43(2), 277-296.
McConnell, D. A., Chapman, L. A., Czajka, C. D., Jones, J. P., Ryker, K. D., & Wiggen, J. (2017). Instructional utility and learning efficacy of common active learning strategies. Journal of Geoscience Education, 65(4), 604–625. https://doi.org/10.5408/17-249.1
Morse, J. M. (1994). Designing funded qualitative research. In N. K. Denzin & Y. S. Lincoln (Eds.), Handbook of qualitative research (pp. 220–235). Sage Publications, Inc.
Oh, S. H., Lee, S. Y., & Han, C. (2021). The effects of social media use on preventive behaviors during infectious disease outbreaks: The mediating role of self-relevant emotions and public risk perception. Health Communication, 36(8), 972-981. https://doi.org/ggpxv7
Petry, N. M. (2002). A comparison of young, middle-aged, and older adult treatment-seeking pathological gamblers. The Gerontologist, 42(1), 92-99. https://doi.org/d6468r
Salmons, J. (2012). Cases in online interview research. Sage Publications.
Shi, J., Hu, P., Lai, K. K., & Chen, G. (2018). Determinants of users’ information dissemination behaviour on social networking sites. Internet Research, 28(2), 393–418. https://doi.org/10.1108/intr-01-2017-0038
Tandoc, E. C., & Lee, J. C. B. (2020). When viruses and misinformation spread: How young Singaporeans navigated uncertainty in the early stages of the COVID-19 outbreak. New Media & Society, 24(3), 778–796. https://doi.org/10.1177/1461444820968212
Tidwell, L. C., & Walther, J. B. (2002). Computer‐mediated communication effects on disclosure, impressions, and interpersonal evaluations: Getting to know one another a bit at a time. Human Communication Research, 28(3), 317-348.
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