SOCIAL NETWORK ANALYSIS: PUBLIC TRUST AND DIGITAL MOVEMENT OF THE COVID-19 ERA IN INDONESIA

Muhammad Iqbal

Muhammad Iqbal Mahasarakham University

Keywords: Social Network Analysis, Digital Movement, Social Media, Public Trust, COVID-19

Abstract

The partial lockdown in April, 2020 that was implemented by the Indonesian government during the COVID-19 pandemic drew a lot of criticism from the public. Most of the criticism arose from the weak enforcement of the partial lockdown that was implemented. In addition, many people rejected the use of social restrictions, which had serious negative implications for the economy and the poor in Indonesia. This study examines the public’s responses to the benefits and disadvantages of implementing the Community Activity Restrictions (PPKM) policy on Twitter. The results show that there are two clusters in the conversations on Twitter, which are the Pro-opposition cluster and X Cluster. Negative tendencies and opinions tend to dominate the public conversation on Twitter regarding PPKM policies, which has had significant implications for public confidence in the government’s ability to handle the spread of COVID-19 in Indonesia

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References

Ardiyanti, H. (2020). Komunikasi Media Yang Efektif Pada Pandemi Covid-19. In Komunikasi Media Yang Efektif Pada Pandemi Covid-19 (Vol. 12).

Barisione, M., & Michailidou, A. (2017). Social media and European politics: Rethinking power and legitimacy in the digital era (M. Barisione & A. Michailidou, eds.). https://doi.org/10.1057/978-1-137-59890-5

Barisione, M., Michailidou, A., & Airoldi, M. (2019). Understanding a digital movement of opinion: the case of #RefugeesWelcome. Information Communication and Society, 22(8), 1145–1164. https://doi.org/10.1080/1369118X.2017.1410204

Bin Muhammad Alkatiri, A., Nadiah, Z., & Nasution, A. N. S. (2020). Opini Publik Terhadap Penerapan New Normal Di Media Sosial Twitter. CoverAge: Journal of Strategic Communication, 11(1), 19–26. https://doi.org/10.35814/coverage.v11i1.1728

Chatfield, A. T., & Reddick, C. G. (2018). Customer agility and responsiveness through big data analytics for public value creation: A case study of Houston 311 on-demand services. Government Information Quarterly, 35(2), 336–347. https://doi.org/10.1016/j.giq.2017.11.002

Chatfield, A. T., Scholl, H. J. J., & Brajawidagda, U. (2013). Tsunami early warnings via Twitter in government: Net-savvy citizens’ co-production of time-critical public information services. Government Information Quarterly, 30(4), 377–386. https://doi.org/10.1016/j.giq.2013.05.021

Ediger, D., Jiang, K., Riedy, J., Bader, D. A., Corley, C., Farber, R., & Reynolds, W. N. (2010). Massive social network analysis: Mining twitter for social good. Proceedings of the International Conference on Parallel Processing, 583–593. https://doi.org/10.1109/ICPP.2010.66

Fanani, A. F., Publik, P. A., Iqbal, M. M., Pemerintahan, P. I., Islam, U., Rahmat, R., … Bangsa, D. M. (2020). Kepemimpinan Transformasional Sektor Publik. Journal of Public Sector Innovations, 4(2), 84–90.

Herlina, S. (2015). Strategi Komunikasi Humas Dalam Membentuk Citra Pemerintahan Di Kota Malang. JISIP: Jurnal Ilmu Sosial Dan Ilmu Politik, 4(3), 493–503. https://doi.org/10.35326/medialog.v1i2.271

Himelboim, I., Smith, M. A., Rainie, L., Shneiderman, B., & Espina, C. (2017). Classifying Twitter Topic-Networks Using Social Network Analysis. Social Media and Society, 3(1). https://doi.org/10.1177/2056305117691545

https://threadreaderapp.com/thread/1418824841193418752.html

Mawardi, I., "Ini Daftar37 Pernyataan Blunder Pemerintah Soal Corona Versi LP3ES?", https://news.detik.com/berita/d-4967416/ini-daftar-37-pernyataanblunder-pemerintah-soalcorona-versi-lp3es?utm_source=facebook&utm_campaign=detikcomsocmed&utm_medium=btn&utm_content=news&fbclid=IwAR1UFBHP9zfCxkeUOqFOQokS4CxYzx188zkuRlfts-oUuajpdYQ9gm8rVDdiakses8April 2020.

Panagiotopoulos, P., Bigdeli, A. Z., & Sams, S. (2014). Citizen-government collaboration on social media: The case of Twitter in the 2011 riots in England. Government Information Quarterly, 31(3), 349–357. https://doi.org/10.1016/j.giq.2013.10.014

Prasetyo, W., Ardianto, V., & Farid, M. (2020). Kepercayaan Publik Terhadap Pemerintah dalam Penanganan COVID-19. Yogyakarta

Prihantoro, E., Rakhman, F. R., & Ramadhani, R. W. (2021). Digital Movement of Opinion Mobilization: SNA Study on #Dirumahaja Vs. #Pakaimasker. Jurnal ASPIKOM, 6(1), 77. https://doi.org/10.24329/aspikom.v6i1.838

Purwaningrum, P. W., Saifullah, A. R., & Sudana, D. (2021). Covid 19 Memes in Social Media Instagram. Proceedings of the Thirteenth Conference on Applied Linguistics (CONAPLIN 2020), 546, 414–421. https://doi.org/10.2991/assehr.k.210427.063

Rakhman, F. R., Ramadhani, R. W., & Fatoni, A. (2021). Digital Movement of Opinion# IndonesiaTerserah on Social Media Twitter in The Covid-19 Pandemic. Jurnal Penelitian …, 24(1), 29–44. https://doi.org/10.20422 /jpk.v24i1.752

Sugiono, S. (2020). Fenomena Industri Buzzer di Indonesia: Sebuah Kajian Ekonomi Politik Media. Communicatus: Jurnal Ilmu Komunikasi, 4(1), 47-66

Suhifatullah, M. I. (2020). Mewujudkan Kualitas Pelayanan Publik Melalui Komunikasi Etis Aparatur Sipil Negara. PERSPEKTIF: Jurnal Ilmu Administrasi, 7(2), 163–170.

Zuhri, A. (2020). Instagram, Pandemi, dan Influencer ( Analisis Wacana Kritis pada Postingan Akun Instagram @ najwashihab dan @ jrxsid ). Academic Journal of Da’wa and Communication, 1(2), 1–25.