https://aboutmusicschools.com https://slotmgc.com https://300thcombatengineersinwwii.com https://mobilephonesource.co.uk https://discord-servers.io https://esmark.net https://slotmgc.com https://nikeshoesinc.us https://ellisislandimmigrants.org https://holidaysanthology.com https://southaventownecenter.net https://jimgodfreydesign.com https://mckinneypaintingpros.com https://enchantedmansion.org https://mckinneypaintingpros.com https://laurabrodieauthor.com https://holidaysanthology.com https://ardictionary.com https://113.30.151.116 https://103.252.118.20 https://206.189.83.174 https://157.230.39.109 https://128.199.85.208 https://172.104.51.149 https://174.138.21.250 https://157.245.50.183 https://152.42.239.189 https://188.166.210.125 https://152.42.178.155 https://192.53.172.202 https://172.104.188.91 https://103.252.118.157 https://63.250.61.107 https://165.22.104.74

Perang Narasi di Instagram: Analisis Sentimen dan Pola Komunikasi Netizen Terkait Hasil Pilpres 2024

Authors

  • Ming Ho Universitas Multimedia Nusantara
  • Agustinus Rusdianto Berto Universitas Multimedia Nusantara
  • Endah Murwani Universitas Multimedia Nusantara

DOI:

https://doi.org/10.29313/jrjmd.v4i1.3948

Keywords:

Personal Branding, Analisis Komentar, Instagram

Abstract

Abstrak. Kemampuan media sosial dalam menciptakan ruang dialog antara politisi dan publik, serta menarik perhatian pemilih muda, menjadikan media sosial semakin vital bagi politisi untuk melakukan personal branding lewat media sosial. Penelitian ini menggunakan pendekatan kuantitatif dan kualitatif untuk menganalisis jaringan komunikasi dan sentimen netizen di media sosial mengenai postingan @IDNTimes pada tanggal 16 Maret 2024 dengan judul "Prabowo-Gibran Menang Pilpres 2024 di 25 Provinsi". Metode Social Network Analysis (SNA) digunakan menganalisa jaringan dan komentar Instagram dengan bantuan aplikasi Voyant dan Gephi 10.1. Studi ini menemukan bahwa perhitungan sentralitas derajat dapat digunakan untuk mengidentifikasi individu-individu yang menonjol. Node @Dinasasmitareal adalah aktor yang paling signifikan dengan nilai centrality tertinggi,  hal ini menunjukkan bahwa akun tersebut menjadi pusat perhatian dalam diskusi. Analisis betweenness centrality menyoroti peran @Dinasasmitareal sebagai perantara utama antara aktor lain dalam jaringan, menegaskan pengaruhnya dalam menghubungkan komunikasi di antara mereka. Sedangkan analisis closeness centrality, kelima aktor yang terlibat menunjukkan tingkat aksesibilitas yang setara dalam berinteraksi di jaringan. Dalam hal teks analisis kata "menang" paling banyak di sebutkan yaitu sebanyak 14 kata. Meskipun kata "menang" sering muncul, namun ada jumlah komentar yang negatif yang mengekspresikan ketidakpuasan atau keraguan terhadap kemenangan Paslon nomor 02.

Abstract. The ability of social media to create a dialog space between politicians and the public, as well as attracting the attention of young voters, makes social media increasingly vital for politicians to conduct personal branding through social media. This research uses quantitative and qualitative approaches to analyze netizen communication networks and sentiments on social media regarding the @IDNTimes post on March 16, 2024 with the title “Prabowo-Gibran Wins 2024 Presidential Election in 25 Provinces”. The Social Network Analysis method was used to analyze the network and Instagram comments with the help of the Voyant and Gephi 10.1 applications. This study found that degree centrality calculations can be used to identify prominent individuals. The @Dinasasmitareal node is the most significant actor with the highest centrality value, indicating that the account is the center of attention in the discussion. The betweenness centrality analysis highlights the role of @Dinasasmitareal as the main intermediary between other actors in the network, emphasizing its influence in connecting communication between them. As for the closeness centrality analysis, the five actors involved showed equal levels of accessibility in interacting in the network. In terms of text analysis, the word “menang” was mentioned the most, with 14 words, there was a negative number of comments expressing doubt about the Prabowo-Gibran's victory.

References

Bakry, G. N., & Kusmayadi, I. M. (2021). Peran pers sebagai aktor gerakan digital tagar# solidaritasuntukntt di Twitter. Jurnal Kajian Jurnalisme, 5(1), 98–114.

Borgatti, S. P., Agneessens, F., Johnson, J. C., & Everett, M. G. (2024). Analyzing social networks.

Borge, R., Boulianne, S., Dennis, J., Vaccari, C., & Valeriani, A. (2023). Political participation in the digital technology era: a symposium on Outside the Bubble: Social Media and Political Participation in Western Democracies By Cristian Vaccari and Augusto Valeriani. Italian Political Science Review/Rivista Italiana Di Scienza Politica, 53(2), 273–291.

Bracciale, R., & Martella, A. (2017). Define the populist political communication style: the case of Italian political leaders on Twitter. Information Communication and Society, 20, 1–20. https://doi.org/10.1080/1369118X.2017.1328522

Bratawisnu, M. K., & Alamsyah, A. (2019). Social network analysis untuk analisa interaksi user di media sosial mengenai bisnis e-commerce. Sosiohumanitas, 21(1), 63–69.

Dang, S., & Ahmad, P. H. (2014). Text mining: Techniques and its application. International Journal of Engineering & Technology Innovations, 1(4), 22–25.

Fadhlurrohman, M. I., & Purnomo, E. P. (2020). The role of online mass media as a tool for the 2019 political campaign in Indonesia. Jurnal Studi Komunikasi, 4(2), 311–325.

Farzam, A., Moradi, P., Mohammadi, S., Padar, Z., & Siegel, A. A. (2023). Opinion manipulation on farsi twitter. Scientific Reports, 13(1), 333.

Hastuti, H., Maulana, H. F., Tompo, A. P. H., & Ferizka, Z. Z. (2023). Analysis of Social Media Opinion on the Representation of the 2024 Presidential Election on Twitter: A Social Network Analysis. Jurnal Studi Ilmu Pemerintahan, 4(1), 117–128.

Himelboim, I., & Golan, G. J. (2019). A social networks approach to viral advertising: The role of primary, contextual, and low influencers. Social Media+ Society, 5(3), 2056305119847516.

Instagram Business Team. (2021, September 10). Get the latest from Instagram. Https://Business.Instagram.Com/Blog/Instagram-Business-Insights-Creativity.

Latané, B., Williams, K., & Harkins, S. (2008). Many hands make light the work: The causes and consequences of social loafing. Small Groups, 297–309.

Montano, D. E., & Kasprzyk, D. (2015). Theory of reasoned action, theory of planned behavior, and the integrated behavioral model. Health Behavior: Theory, Research and Practice, 70(4), 231.

Nie, Z., Waheed, M., Kasimon, D., & Wan Abas, W. A. B. (2023). The Role of Social Network Analysis in Social Media Research. Applied Sciences, 13(17), 9486.

Ramadhanti, L., & Setyanto, Y. (2018). Pemanfaatan Instagram dalam Sosialisasi Gerakan Selamatkan Pejalan Kaki (Studi pada Komunitas Koalisi Pejalan Kaki). Jurnal Prologia, 2(2), 400–407.

Stetka, V., Surowiec, P., & Mazák, J. (2019). Facebook as an instrument of election campaigning and voters’ engagement: Comparing Czechia and Poland. European Journal of Communication, 34(2), 121–141.

Vaccari, C., & Valeriani, A. (2018). Digital political talk and political participation: Comparing established and third wave democracies. Sage Open, 8(2), 2158244018784986.

Wahyudi, M. D. R. W. (2020). Analisis sentimen ujaran kebencian pemilihan presiden 2019 menggunakan algoritme Naïve Bayes. JNANALOKA, 25–33.

Zhang, Y., Wells, C., Wang, S., & Rohe, K. (2018). Attention and amplification in the hybrid media system: The composition and activity of Donald Trump’s Twitter following during the 2016 presidential election. New Media & Society, 20(9), 3161–3182.

Downloads

Published

2024-07-31