A Reception Study On Disinformation Of Covid-19 Vaccine Messages In Social Media Virtual Communities
DOI:
https://doi.org/10.18326/inject.v8i1.373Keywords:
Disinformation, Interpretive Community, Vaccines; Covid-19, WhatsAppAbstract
Disinformation messages about the Covid-19 vaccine are circulating in the community. This of course intersects with social, health, religious and political issues. One of the issues that is widely spread is about the Covid-19 vaccine, which has side effects when injected into a person's body, and contains dangerous and non-halal ingredients. This issue is widespread on social media, one of which is the various virtual WhatsApp communities in society. This article attempts to provide an explanation of this phenomenon from the Ecoding/Deccoding lens and the Interpretive Community. Data collection was carried out using in-depth interviews with three informants. The results of the study show that audiences using their life history positions, interpretive communities and their limited social communities also strengthen their meaning of this issue. This indicates that the text in the community is no longer seen as an extension of the message or addition of information, but is shown to maintain a community in the community in a relatively temporary period.
References
Austin, Shaun. 2014. How News and Stories are Followed on Twitter. Reuters Institute, dapat iakses di http://www.digitalnewsreport.org/essays/2014/how-and-stories-are-followed-don-twitter/
Baran S.J. and Davis D.K. 2012. Mass Communication Theory: 6th edition. Foundation, Ferment, and Future. Wadsworth: Cengage Learning.
Biancovilli, P., Makszin, L., & Jurberg, C. (2021). Misinformation on social networks during the novel coronavirus pandemic: a quali-quantitative case study of Brazil. BMC Public Health, 21(1). doi:10.1186/s12889-021-11165-1
Clegg,Oleah. 1995. A Qualitative Study of Interpretive Communieties Among LDS Women. Thesis. Brighham Young University
Hall, Stuart (1980) Ecoding/Decoding. In Centre for Contemporary Culture Studies (Ed.): Culture, Media, Language: Working Papers in Culture Studies, 1972-79 London: Hutchinson, pp. 128-38.
Hughes, B., White, K., West, J., Criezis, M., Zhou, C., & Bartholomew, S. (2021). Cultural variance in reception and interpretation of social media COVID-19 disinformation in french-speaking regions. International Journal of Environmental Research and Public Health, 18(23), 12624. doi:http://dx.doi.org/10.3390/ijerph182312624
Indonesia.go.id (2020). “Kasus Covid-19 Pertama, Masyarakat Jangan Panik” https://indonesia.go.id/kategori/indonesia-dalam-angka/1681/kasus-covid-19-pertama-masyarakat-jangan-panik. Diakses pada 5 Juli 2021.
J. Gao et al. (2020). Mental health problems and social media exposure during COVID-19 outbreak. PLoS One.
Juditha C. (2020). People Behavior Related To The Spread Of Covid-19’s Hoax. Jurnal Pekommas, Vol. 5 No. 2, Oktober 2020:105 – 116. DOI:10.30818/jpkm.2020.2050201
Karlova, N.A and Fisher, K.E., 2013. Plz RT”: A Social Diffusion model of misinformation and disinformation dor understanding human information behaviour. Inform Res, 18 (1), pp.1-17
Kominfo. (2020). Penyebar Hoaks Covid-19 Diancam Sanksi Kurungan dan Denda 1 Miliar. Retrieved from https://kominfo.go.id/content/detail/25923/kominfopenyebar-hoaks-covid-19-diancam-sanksi-kurungandan-denda-1-miliar/0/virus_corona [Accessed 7 Mwi 2020].
Littlejohn, S,W, and Foss. K.A., 2009. Encyclopedia of Communication Theory (Vol,1). London: SAGE.
Moleong, L. J. (2006). Metodologi Penelitian Kualitatif. Remaja Rosdakarya.
Neuman, L. W. (2003). Social Research Methods: Qualitative and Quantitative Approaches. Boston: Allyn & Bacon
Nightingale, E. S., Chapman, L. A. C., Srikantiah, S., Subramanian, S., Jambulingam, P., Bracher, J., … Medley, G. F. (2020). A spatio-temporal approach to short-term prediction of visceral leishmaniasis diagnoses in India. PLOS Neglected Tropical Diseases, 14(7), e0008422. doi:10.1371/journal.pntd.0008422
P. Bastani and M. A. Bahrami, “COVID-19 Related Misinformation on Social Media: A Qualitative Study from Iran,” J. Med. Internet Res., 2020
Pawito. (2007). Penelitian Komunikasi Kualitatif. LKis Yogyakarta.
Pennycook, G., McPhetres, J., Zhang, Y., & Rand, D. (2020). Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy nudge intervention. PsyArXiv [Working Paper], 1–24. http://doi.org/10.31234/OSF.IO/UHBK9
Potter, James W. 2009. Conceptualizing the audience. In Nabi & Oliver. 2009 The SAGE Handbook of Media Processes and Effects. Lomdon: SAGE.
Prasanti, D. (2018). Literasi Informasi Kesehatan sebagai Upaya Pencegahan Informasi Hoaks dalam Penggunaan Obat Tradisional di Era Digital. Jurnal Pekommas, Vol. 3 No., 45–52.
Prianto C & Nisa Hanum H. (2020). Sentiment Analysis of Covid-19 As A Social Media Pandemic. International Journal of Information System & Technology Akreditasi No. 36/E/KPT/2019 | Vol. 4, No. 1, (2020), pp. 509-517
Pulido CM, Villarejo-Carballido B, Redondo-Sama G, Gómez A. COVID-19 infodemic: More retweets for science-based information on coronavirus than for false information. International Sociology, 2020 Apr 15;35(4):377-392. [doi: 10.1177/0268580920914755]
Pulido Purnomo, E.P., Loilatu, M.J., Nurmandi, A., Qodir, Salahudin, Z., Sihidi, I.T., & Lutfi, M. (2021). How Public Transportation Use Social Media Platform during Covid-19: Study on Jakarta Public Transportations' Twitter Accounts? Webology, 18(1), 01–19. https://doi.org/10.14704/WEB/V18I1/WEB18001
R.K., 2015. Reuters Institute Digital News Report 2016
Riyanto, Andi Dwi. (2021). “Indonesian Digital Report 2020”. Dikutip dari Hootsuite (We are Social): Indonesian Digital Report 2021 – Andi Dwi Riyanto, Dosen, Praktisi, Konsultan, Pembicara: E-bisnis/Digital Marketing/Promotion/Internet marketing, SEO, Technopreneur, Fasilitator Google Gapura Digital yogyakarta Diakses pada 5 Juli 2021.
Roozenbeek, J., Schneider, C. R., Dryhurst, S., Kerr, J., Freeman, A. L. J., Recchia, G., … van der Linden, S. (2020). Susceptibility to misinformation about COVID-19 around the world. Royal Society Open Science, 7(10), 201199. doi:10.1098/rsos.201199
Seufert, M., Schwind, A.. Hobfeld, T,. & Tran-Gia, P. 2015. Analysis of Group- Based Communication in WhatsApp in International Conference on Mobile Networks and Management (pp. 225-235). Spronger International Publishing.
Stephens, M. (2020). A geospatial infodemic: Mapping Twitter conspiracy theories of COVID-19. Dialogues in Human Geography, 204382062093568. doi:10.1177/2043820620935683
Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146–1151. doi:10.1126/science.aap9559
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 INJECT (Interdisciplinary Journal of Communication)
This work is licensed under a Creative Commons Attribution 4.0 International License.