Analysis of Netizen Communication Networks in the Public Debate of Presidential-Vice Presidential Candidates for the 2024 Election on Social Media
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Abstract
The public debate of the Presidential Candidates in the 2024 Election is a campaign agenda from the KPU to get public attention. The debate is broadcast live streaming on TVRI's YouTube channel so that it can give voters an idea to determine their preferences and allow the public to participate directly. Participation in the comments section can be studied as a communication network and is also fundamental in developing democracy.. The purpose of this study is to get an overview of the communication network of netizens in the public debate of the 2024 Election Candidates on social media. This research method is Social Media Analysis. The results show that the complete communication network formed had a relatively small diameter, low inter-participant bonding and centralization, the absence of two-way communication, the presence of isolated individuals, and participant accounts that could not be ascertained to be genuine/fake. However, the modularity is quite high, which indicates that clusters are separated by different communities. The communication network in the presidential debate is generally characterized by the community supporting candidate pair number 3 which occupies cluster 1, while candidate pair number 1 supporters are the prominent community in the Vice President debate. Both of these communication networks contain a lot of derogatory comments, bullying, and also hate speech against opponents. Communication networks found in such characteristics tend to be fragile and distortive to be understood as forms of political education, public space, or constructive democratic development.
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References
Antara. (2023). KPU Tetapkan Tiga Pasangan Capres-Cawapres Pemilu 2024. https://www.antaranews.com/berita/3820713/kpu-tetapkan-tiga-pasangan-capres-cawapres-pemilu-2024
Bakti, Iriana, Centurion C. Priyatna, Evie Novianti, dan Hem Ryanto Budiana. (2015). Peran Jejaring Komunikasi dalam Membangun Kohesivitas Kelompok Tani Tanaman Obat Di Jawa Barat. Jurnal Teknologi Pendidikan Edutech, 1 (3).
Cantú, F., & M. Carreras. (2023). Presidential Debates and Electoral Preferences in Weakly Institutionalised Democracies: Evidence From 32 Latin American Elections. Journal of Politics in Latin America, 15(3). https://doi.org/10.1177/1866802x231213668
Chilton, P. (2004). Analysing Political Discourse: Theory and practice. London: Routledge.
Cobis, M. Y., & Udi Rusadi. (2023). Sosial Media Sebagai Media Kampanye Partai Politik. Dawatuna: Journal of Communication and Islamic Broadcasting, 3(4), 1196-1208. https://doi.org/10.47476/dawatuna.v3i4.3314
Eriyanto. (2014). Analisis Jaringan Komunikasi. Jakarta: Prenada Media.
González-Bailón, S., & N. Wang. (2016). Networked Discontent: The Anatomy of Protest Campaigns in Social Media. Social Networks, 44, 95-104. https://doi.org/10.1016/j.socnet.2015.07.003
Griffin, E. (2009). A First Look at Communication Theory. New York: McGraw-Hill.
Hardiman, F. Budi. (1993). Menuju Masyarakat Komunikatif: Ilmu, Masyarakat, Politik & Postmodernisme Menurut Jurgen Habermas. Yogyakarta: PT. Kanisius.
Harmatiy, Olha V., Mykhailo M. Basarab, Bekzhigit K. Serdali, Altyn B. Akynbekova, & Aliya T. Beldibekova. (2021). Potential of Social Networks’ Use in the Protest Movements. Journal of Language and Linguistic Studies, 17(3), 1341–1354. https://doi.org/10.52462/jlls.96
Juditha, C. (2017). Hatespeech di Media Online: Kasus Pilkada DKI Jakarta 2017. Jurnal Penelitian Komunikasi Dan Opini Publik, 21(2).
Juditha, C. (2019). Dukungan Sosial Warganet di Twitter Terhadap Gaya Komunikasi Pasangan Calon Presiden pada Debat Pemilu 2019. Jurnal Studi Komunikasi Dan Media, 23(1), 87. https://doi.org/10.31445/jskm.2019.1982
Juditha, C. (2021). The Communication Network of Online Prostitution in Twitter. Jurnal ASPIKOM, 6(1),13.https://doi.org/10.24329/aspikom.v6i1.826
Juditha, C., & J.J. Darmawan. (2023). Tren Stitch Tiktok Sebagai Fitur Penegasian Warganet dalam Komunikasi di Media Sosial. Jurnal Komunikasi, 15(2), 242–258. https://doi.org/10.24912/jk.v15i2.23323
Juditha, C., E. Maryani, A. Abdullah, & R. Setiawati. (2021). Online Prostitution Network in Twitter and Automatic Identification System of The Government. Review of International Geographical Education Online, 11(5), 79–92. https://doi.org/10.48047/rigeo.11/5/8
Khatami, M. I., & Novi Kurnia. (2022). E-Demokrasi pada Perdebatan Publik di Twitter: Analisis Konten Polemik Pemecatan Pegawai Komisi Pemberantasan Korupsi (KPK). Jurnal Riset Komunikasi, 5(1), 51–69. https://doi.org/10.38194/jurkom.v5i1.449
Kompas. (2023). Antusiasme Menyambut Debat Perdana. https://www.kompas.id/baca/riset/2023/12/10/antusiasme-menyambut-debat-perdana. Accessed 4 Januari 2024.
Nanda, P., & V. Kumar. (2021). Social Media Analytics: Tools, Techniques and Present Day Practices. International Journal of Services Operations and Informatics, 11(4), 422-436. https://doi.org/10.1504/ijsoi.2021.10039351
Netlytic. (2024). Definition Network Properties. https://netlytic.org/network/sna/snachart.php.Accessed, 20 Januari 2024.
Palacios, Lucia Maria Ramos. (2018). The 2016 U.S. Presidential Debates: A Discourse Analysis Approach. Cadiz, Spanyol: Universidad de Cádiz.
Park, Chang Sup. (2013). Does Twitter Motivate Involvement in Politics? Tweeting, opinion, leadership, and political engagement. Computers in Human Behavior, 29(4), 1641-1648. https://doi.org/10.1016/j.chb.2013.01.044
Rahmat, A. F., & M. Rafi. (2022). Social Media Network Analysis on Twitter Users Network to the Pension Plan Policy. Communicare: Journal of Communication Studies, 9(1), 62-76. https://doi.org/10.37535/101009120225
Rogers, E. M. and Lawrence D. Kincaid. (1981). Communication Network: Toward A New Paradigm for Research. Illinois: Free Press.
Setiawan, H., Pawito & Andrik Purwasito. (2020). Youtube Social Media Trends Reduce Television Watching Interest. Dalam Proceedings of the 6th International Conference on Social and Political Sciences (ICOSAPS 2020), 510, 125–132. https://doi.org/10.2991/assehr.k.201219.019
Van Dijk, J. (2012). The Network Society (3rd Edition). London: Sage Publications.
Van Dijck, J. (2013). The Culture of Connectivity: A Critical History of Social Media. Oxford University Press.
Wadipalapa, R. P. (2017). Dari Desentralisasi Jaringan ke [De]sentralisasi Kuasa: Dinamika, Kekuatan dan Pukulan Balik. Dalam Jurnal ASPIKOM, 1(6), 465-476. https://doi.org/10.24329/aspikom.v1i6.52
Walther, J. B. (1992). Interpersonal Effects in Computer-mediated Interaction: A Relational Perspective. Dalam Communication Research., 19(1), 52–90. https://doi.org/doi:10.1177/ 009365092019001003
Witianti, S., & R. Solihah. (2019). The Influence of Public Debate on the Political Preference of Communities in the Presidential Election in 2019. Dalam Central European Journal of International and Security Studies, 13(4), 368-380.
Yue, Zenglei, Guang Yu, Jing Shan, Guangwu Liu, Lie Chen, Donghui Yang. (2023). Communication Network Characteristics of the Mass Entrepreneurship and Innovation Policy on Social Media: A Social Network Analysis. Dalam International Journal of Communication, 17, 6250–6268. http://ijoc.org.