Abstract
This study aims to see Twitter as a medium for regional heads to succeed in vaccine policies. Anis Basewedan, Ridwan Kamil, and Ganjar Pranowo, as Governors, actively maximize Twitter to invite the public to support and want to be vaccinated, which is one of the keys to handling the Covid-19 crisis through the creation of herd immunity. The study used the Nvivo 12 Plus Qualitative Data Analysis Software (QDAS) approach. The data for this study used the Twitter social media of the three regional heads, namely @aniesbaswedan, @ridwankamil, and @ganjarpranowo. The results showed that the three of them were very active in informing the vaccination schedule, emphasizing the safety of vaccination, and inviting the public to want to be vaccinated. Through concise and clear messages, the three of them emphasize that one of the primary keys to getting out of the Covid-19 pandemic and recovering social and economic life is through vaccination. This research further highlights the usefulness of social media in crisis management, so it is necessary to continue to increase its use by leaders.
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References
Amalia, Y.: Indikator_ 41 Persen Masyarakat Enggan Disuntik Vaksin, 38,4 Persen Tolak Membeli _ merdeka. Merdeka.Com (2021)
Aprianita, D., Hidayat, D.: Analisis Pesan Kampanye #Dirumahaja Di Tengah Pandemi Covid-19. Komunikologi: Jurnal Pengembangan Ilmu Komunikasi Dan Sosial, 4(2), 78 (2020). https://doi.org/10.30829/komunikologi.v4i2.7910
Beni-hssane, A.: sciencedirect analyzing social media through big data using infosphere biginsights and apache flume. Procedia Comput. Sci. 113, 280–285 (2017). https://doi.org/10.1016/j.procs.2017.08.299
Bonnevie, E., Gallegos-Jeffrey, A., Goldbarg, J., Byrd, B., Smyser, J.: Quantifying the rise of vaccine opposition on twitter during the COVID-19 pandemic. J. Commun. Healthc. 14(1), 12–19 (2021). https://doi.org/10.1080/17538068.2020.1858222
Candon, P.: Twitter: social communication in the twitter era. New Media Soc. 21(7), 1656–1658 (2019). https://doi.org/10.1177/1461444819831987
Charrad, M., Bellamine, N., Saoud, B.: sciencedirect sciencedirect towards a social media-based framework for disaster towards a social media-based framework for disaster communication communication. Procedia Comput. Sci. 164, 271–278 (2019). https://doi.org/10.1016/j.procs.2019.12.183
Dhar, S., Bose, I.: Emotions in twitter communication and stock prices of firms: the impact of Covid-19 pandemic. Decision 47(4), 385–399 (2021). https://doi.org/10.1007/s40622-020-00264-4
Dwipayana, I.D.A.P.: Efforts in securing vaccine for Covid-19 outbreak in Indonesia. Health Notions 4(10), 313–317 (2020). https://doi.org/10.33846/hn41003
Dwipayanti, N.M.U., Lubis, D.S., Harjana, N.P.A.: Public perception and hand hygiene behavior during COVID-19 pandemic in Indonesia. Front. Public Health 9(May), 1–12 (2021). https://doi.org/10.3389/fpubh.2021.621800
Engel-Rebitzer, E., Stokes, D.C., Buttenheim, A., Purtle, J., Meisel, Z.F.: Changes in legislator vaccine-engagement on twitter before and after the arrival of the COVID-19 pandemic. Hum. Vaccin. Immunother. 17(9), 2868–2872 (2021). https://doi.org/10.1080/21645515.2021.1911216
fisipol. Beragam Survei Sebut Penolakan dan Keraguan Masyarakat Terhadap Vaksin COVID-19 – Fakultas Ilmu Sosial dan Ilmu Politik. Fisipolugm.Ac.Id (2021)
Fuady, A., Nuraini, N., Sukandar, K.K., Lestari, B.W.: Targeted vaccine allocation could increase the covid-19 vaccine benefits amidst its lack of availability: a mathematical modeling study in Indonesia. Vaccines 9(5) (2021). https://doi.org/10.3390/vaccines9050462
Gafatia, I.W.D., Hadinata, N.: Analisis Pro Kontra Vaksin Covid 19 Menggunakan Sentiment Analysis Sumber Media Sosial Twitter. Jurnal Pengembangan Sistem Informasi Dan Informatika, 2(1), 34–42 (2021). https://doi.org/10.47747/jpsii.v2i1.544
Haupt, M.R., Jinich-Diamant, A., Li, J., Nali, M., Mackey, T.K.: Characterizing twitter user topics and communication network dynamics of the Liberate movement during COVID-19 using unsupervised machine learning and social network analysis. Online Soc. Netw. Media 21, 100114 (2021). https://doi.org/10.1016/j.osnem.2020.100114
Heriyanto, R.S., et al.: The role of COVID-19 survivor status and gender towards neutralizing antibody titers 1, 2, 3 months after Sinovac vaccine administration on clinical-year medical students in Indonesia: role of COVID-19 survivor status and gender towards neutralizing antib. Int. J. Infect. Dis. 113, 336–338 (2021). https://doi.org/10.1016/j.ijid.2021.10.009
Hoffman, B.L., et al.: #DoctorsSpeakUp: lessons learned from a pro-vaccine twitter event. Vaccine 39(19), 2684–2691 (2021). https://doi.org/10.1016/j.vaccine.2021.03.061
Jannah, N., Sonni, A.F.: Konstruksi Pemberitaan Kepala Daerah di Kota Makassar Terkait COVID-19. Warta ISKI, 4(1), 17–26 (2021). https://doi.org/10.25008/wartaiski.v4i1.100
Januraga, P.P., Harjana, N.P.A.: Improving public access to COVID-19 pandemic data in Indonesia for better public health response. Front. Public Health 8, 8–11 (2020). https://doi.org/10.3389/fpubh.2020.563150
Jemielniak, D., Krempovych, Y.: An analysis of AstraZeneca COVID-19 vaccine misinformation and fear mongering on twitter. Public Health 200, 4–6 (2021). https://doi.org/10.1016/j.puhe.2021.08.019
Jiang, X., et al.: Polarization over vaccination: ideological differences in twitter expression about COVID-19 vaccine favorability and specific hesitancy concerns. Soc. Media Soc. 7(3) (2021). https://doi.org/10.1177/20563051211048413
Kaur, M., Verma, R., Otoo, F.N.K.: Emotions in leader’s crisis communication: twitter sentiment analysis during COVID-19 outbreak. J. Hum. Behav. Soc. Environ. 31(1–4), 362–372 (2021). https://doi.org/10.1080/10911359.2020.1829239
Kemenkes. 4 Manfaat Vaksin Covid-19 yang Wajib Diketahui. Kementerian Kesehatan RI (2021). http://upk.kemkes.go.id/new/4-manfaat-vaksin-covid-19-yang-wajib-diketahui
Kriswibowo, A., Prameswari, J.K.P., Baskoro, A.G.: Analisis Kepercayaan Publik Terhadap Kebijakan Vaksinasi Covid-19 Di Kota Surabaya. J. Publicuho, 4(2), 326–344 (2021). https://doi.org/10.35817/jpu.v4i2.17912
Park, S., et al.: COVID-19 discourse on twitter in four Asian countries: case study of risk communication. J. Med. Internet Res. 23(3), 1–17 (2021). https://doi.org/10.2196/23272
Pascual-Ferrá, P., Alperstein, N., Barnett, D.J.: Social network analysis of COVID-19 public discourse on twitter: implications for risk communication. Disaster Med. Public Health Prep. (2020). https://doi.org/10.1017/dmp.2020.347
Pradila, M.R.: Hasil Survei Sebut 41 Persen Masyarakat Tolak Vaksin Covid-19, DPR_ Masalah Serius - Pikiran-Rakyat. Pikiranrakyat.Com (2021)
Pramono, G.E.: Policing in the Covid-19 situation in Indonesia. Int. J. Soc. Sci. Hum. Res. 04(02), 154–165 (2021). https://doi.org/10.47191/ijsshr/v4-i2-06
Riddell, H., Fenner, C.: User-generated crisis communication: exploring crisis frames on twitter during hurricane harvey. South Commun. J. 86(1), 31–45 (2021). https://doi.org/10.1080/1041794X.2020.1853803
Saechang, O., Yu, J., Li, Y.: Public trust and policy compliance during the covid-19 pandemic: The role of professional trust. Healthcare (Switzerland) 9(2), 1–13 (2021). https://doi.org/10.3390/healthcare9020151
Salahudin, S., Nurmandi, A., Sulistyaningsih, Tri, Taqwa, I.: Analysis of government official twitters during Covid-19 crisis in Indonesia. Talent Dev. Excellence 12(1), 3899–3915 (2020)
Sandag, G.A., Manueke, A.M., Walean, M.: Sentiment analysis of COVID-19 vaccine tweets in Indonesia using recurrent neural network (RNN) approach. In: 2021 3rd International Conference on Cybernetics and Intelligent System (ICORIS), pp. 1–7 (2021). https://doi.org/10.1109/ICORIS52787.2021.9649648
Scannell, D., et al.: COVID-19 vaccine discourse on twitter: a content analysis of persuasion techniques, sentiment and mis/disinformation. J. Health Commun. 26(7), 443–459 (2021). https://doi.org/10.1080/10810730.2021.1955050
Siahaan, C., Adrian, D.: Komunikasi Dalam Persepsi Masyarakat Tentang Kebijakan Pemerintah Dimasa Pandemi. Kinesik, 8(2), 158–167 (2021). https://doi.org/10.22487/ejk.v8i2.159
Singh, R.K., Verma, H.K.: Effective parallel processing social media analytics framework. J. King Saud Univ. – Comput. Inf. Sci. (2020). https://doi.org/10.1016/j.jksuci.2020.04.019
Sleigh, J., Amann, J., Schneider, M., Vayena, E.: Qualitative analysis of visual risk communication on twitter during the Covid-19 pandemic. BMC Publ. Health 21(1), 810 (2021). https://doi.org/10.1186/s12889-021-10851-4
Wiyani, F., Wijaya, M.E., Nawir, A.A.: Analysis study of open data implementation to improve public policy making process in jakarta provincial government based on dynamic governance. Admin. Jurnal Ilmiah Administrasi Publik Dan Pembangunan 10(2), 93–102 (2019). https://doi.org/10.23960/administratio.v10i2.107
Yousefinaghani, S., Dara, R., Mubareka, S., Papadopoulos, A., Sharif, S.: An analysis of COVID-19 vaccine sentiments and opinions on twitter. Int. J. Infect. Dis. 108, 256–262 (2021). https://doi.org/10.1016/j.ijid.2021.05.059
Zeemering, E.S.: Functional fragmentation in city hall and twitter communication during the COVID-19 pandemic: evidence from Atlanta, San Francisco, and Washington DC. Govern. Inf. Q. 38(1), 101539, (2021). https://doi.org/10.1016/j.giq.2020.101539
Zhu, L., Anagondahalli, D., Zhang, A.: Social media and culture in crisis communication : McDonald ’ s and KFC crises management in China. Publ. Relat. Rev. 43(3), 487–492 (2017). https://doi.org/10.1016/j.pubrev.2017.03.006
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Taqwa Sihidi, I., Salahudin, Roziqin, A., Kurniawan, D. (2022). Twitter as a Communication Tools for Vaccine Policy in Indonesia: An Analysis. In: Meiselwitz, G. (eds) Social Computing and Social Media: Design, User Experience and Impact. HCII 2022. Lecture Notes in Computer Science, vol 13315. Springer, Cham. https://doi.org/10.1007/978-3-031-05061-9_47
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