Pandemic Corona virus (Covid-19): Twitter Analysis as a Social Media Information Platform in Indonesia

Herdin Arie Saputra, Anang Setiawan, Dafrin Muksin

Sari


Social media Twitter as a means of providing information at this time, during the Covid-19 pandemic, the Government's announcement, in this case, the Twitter account from the Ministry of Health of the Republic of Indonesia, will become a public reference. This study uses the Nvivo12 Plus technology application to obtain data. This study reveals the use of social media Twitter about spreading social media information on Twitter with (hashtag) # COVID19, # Covid19Indonesia, and Twitter accounts from the Ministry of Health of the Republic of Indonesia. Qualitative methods are used to find a social media model that is used as a mass communication channel. The data results show that many intense social media campaigns discuss all the impacts of the Coronavirus (Covid-19) and discussions about selling masks and hand sanitizer at relatively high prices. The Ministry of Health's Twitter account provides information related to prevention and motivates the public always to implement social distancing, physical distancing, large-scale social distancing (PSBB), stay at home, don't return home, stay clean, and always wash their hands with soap and hand sanitizer, and use the face mask


Kata Kunci


Coronavirus, Social Media, Twitter, Kemenkes

Teks Lengkap:

PDF (English)

Referensi


AlYahmady, H. H., & Al Abri, S. S. (2013). Using Nvivo for Data Analysis in Qualitative Research. International Interdisciplinary Journal of Education, 2(2), 181186. https://doi.org/10.12816/0002914

Amin, I., Pramestri, Z., Hodge, G., & Lee, J. G. (2018). Social media insights for sustainable development and humanitarian action in Indonesia. Journal of Physics: Conference Series, 971(1). https://doi.org/10.1088/1742-6596/971/1/012040

Budiharto, W., & Meiliana, M. (2018). Prediction and analysis of Indonesia Presidential election from Twitter using sentiment analysis. Journal of Big Data, 5(1), 110. https://doi.org/10.1186/s40537-018-0164-1

Chatfield, A. T., & Reddick, C. G. (2018). The role of policy entrepreneurs in open government data policy innovation diffusion: An analysis of Australian Federal and State Governments. Government Information Quarterly, 35(1), 123134. https://doi.org/10.1016/j.giq.2017.10.004

Chen, Q., Min, C., Zhang, W., Wang, G., Ma, X., & Evans, R. (2020). Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis. Computers in Human Behavior, 110(March), 106380. https://doi.org/10.1016/j.chb.2020.106380

Firdaus, M. B. (2017). Pengembangan Alat Ukur Keterbukaan Informasi Publik pada Situs Web Pemerintah Studi Kasus Kabupaten Kutai Kartanegara. Jurnal Ilmiah Ilmu Komputer, 3(1), 713.

Glvez-Rodrguez, M. del M., Sez-Martn, A., Garca-Tabuyo, M., & Caba-Prez, C. (2018). Exploring dialogic strategies in social media for fostering citizens interactions with Latin American local governments. Public Relations Review, 44(2), 265276. https://doi.org/10.1016/j.pubrev.2018.03.003

Kerafa, F. M. ., & Komalasari, K. (2018). Intensitas Media Sosial Terhadap Perkembangan Moral Siswa. Moral Kemasyarakatan, 4(1), 19. https://doi.org/10.21067/jmk.v3i2.2943

Li, Y., Guo, F. F., Cao, Y., Li, L. F., & Guo, Y. J. (2020). Insight into COVID-2019 for pediatricians. Pediatric Pulmonology, March, 1013. https://doi.org/10.1002/ppul.24734

Lubis, M. S. I. (2018). DAMPAK KOMUNIKASI DAN PERUBAHAN SOSIAL BAGI PENGGUNA INSTAGRAM (Studi Deskriptif Kualitatif bagi pengguna Media Sosial Instagram di Instansi Dinas Pendidikan Sumatera Utara). Journal of Dharmawangsa University. https://doi.org/10.1109/COMST.2015.2457491

Panagiotopoulos, P., Barnett, J., Bigdeli, A. Z., & Sams, S. (2016). Social media in emergency management: Twitter as a tool for communicating risks to the public. Technological Forecasting and Social Change, 111, 8696. https://doi.org/10.1016/j.techfore.2016.06.010

Sharma, K., Seo, S., Meng, C., Rambhatla, S., Dua, A., & Liu, Y. (2020). Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. 2019. http://arxiv.org/abs/2003.12309

Tang, Z., Zhang, L., Xu, F., & Vo, H. (2015). Examining the role of social media in Californias drought risk management in 2014. Natural Hazards, 79(1), 171193. https://doi.org/10.1007/s11069-015-1835-2

Venkatesh, V., Hoehle, H., & Aljafari, R. (2017). A usability study of the obamacare website: Evaluation and recommendations. Government Information Quarterly, 34(2), 199210. https://doi.org/10.1016/j.giq.2017.01.003

Who Health Organization, (2020, April 29). https://www.who.int/emergencies/diseases/novel-coronavirus-2019

Kementerian Kesehatan, (2020, April 29). https://www.kemkes.go.id/

DetikInet, (2020, Februari 19). Tahun 2019, Twitter Kembali Jaya di Indonesia. Diakses 29 April 2020, dari detik.com: https://inet.detik.com/mobile-apps/d-4905885/tahun-2019-twitter-kembali-jaya-di-indonesia




DOI: https://doi.org/10.30596/interaksi.v5i1.4949

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