Pemetaan Youtube sebagai Dasar Pengembangan Strategi Komunikasi Timnas U-23
##plugins.themes.academic_pro.article.main##
Published
Oct 19, 2024
Abstract
Studi ini menyoroti peran YouTube dalam perbincangan publik terkait pertandingan sepak bola, khususnya mengenai Tim Nasional Sepakbola U-23 Indonesia melalui YouTube. Masalah yang diidentifikasi adalah rendahnya tingkat interaktivitas dan keterlibatan penggemar dalam diskusi digital. Melalui pendekatan Analisa Jaringan Sosial, data dikumpulkan dari komentar pada video pertandingan dan dianalisis menggunakan perangkat lunak Netlytic untuk memetakan struktur jaringan sosial dan mengidentifikasi aktor-aktor kunci dalam diskusi. Hasil studi menunjukkan bahwa komentar-komentar di YouTube cenderung tersegmentasi ke dalam komunitas-komunitas tertentu dengan interaksi yang minim antara pengguna. Meskipun banyak komentar yang muncul, tingkat interaktivitas masih rendah. Studi ini diharapkan dapat meningkatkan keterlibatan penggemar dan merespons umpan balik secara lebih efektif.
##plugins.themes.academic_pro.article.details##
This work is licensed under a Creative Commons Attribution 4.0 International License.
Hak Cipta :
Penulis yang mempublikasikan manuskripnya di jurnal ini menyetujui ketentuan berikut:
- Hak cipta pada setiap artikel adalah milik penulis.
- Penulis mengakui bahwa Ranah Research : Journal of Multidisciplinary Research and Development berhak menjadi yang pertama menerbitkan dengan lisensi Creative Commons Attribution 4.0 International (Attribution 4.0 International CC BY 4.0) .
- Penulis dapat mengirimkan artikel secara terpisah, mengatur distribusi non-eksklusif manuskrip yang telah diterbitkan dalam jurnal ini ke versi lain (misalnya, dikirim ke repositori institusi penulis, publikasi ke dalam buku, dll.), dengan mengakui bahwa manuskrip telah diterbitkan pertama kali di Ranah Research.
How to Cite
Zuraida, E. A., Rusdianto Berto, A. and Utoyo, A. W. (2024) “Pemetaan Youtube sebagai Dasar Pengembangan Strategi Komunikasi Timnas U-23”, Ranah Research : Journal of Multidisciplinary Research and Development, 6(6), pp. 2765-2774. doi: 10.38035/rrj.v6i6.1145.
References
Åkerlund, M. (2021). Influence without metrics: Analyzing the impact of far-right users in an online discussion forum. Social Media+ Society, 7(2), 20563051211008830.
Akram, S., & Kortam, W. (2020). The impact of customer experience in online brand communities on customer engagement and purchase intentions among Arab internet users: theoretical analysis, conceptual framework and research agenda. Business and Management Studies, 6(3), 26–54.
Amimeur, T., Shaver, J. M., Ketchem, R. R., Taylor, J. A., Clark, R. H., Smith, J., Van Citters, D., Siska, C. C., Smidt, P., & Sprague, M. (2020). Designing feature-controlled humanoid antibody discovery libraries using generative adversarial networks. BioRxiv, 2004–2020.
Anderson, B., & Cole, R. (2021). The Impact of Online Fan Interaction on Team Support. International Journal of Sport Communication.
Borgatti, S. P., Everett, M. G., & Johnson, J. C. (2013). Centrality. Analyzing Social Networks, 189–208.
Calder, B. J., Malthouse, E. C., & Maslowska, E. (2016). Brand marketing, big data and social innovation as future research directions for engagement. Journal of Marketing Management, 32(5–6), 579–585.
Charmaz, K. (2014). Constructing grounded theory (introducing qualitative methods series). Constr. Grounded Theory.
Chauhan, P., Sharma, N., & Sikka, G. (2023). Application of Twitter sentiment analysis in election prediction: a case study of 2019 Indian general election. Social Network Analysis and Mining, 13(1), 88.
Cheng, X., et al. (2017). Online Social Networks: Functions, Risks, and Their Influence on Well-Being. Journal of Computer-Mediated Communication.
Fung, B. C. M., Wang, K., & Philip, S. Y. (2007). Anonymizing classification data for privacy preservation. IEEE Transactions on Knowledge and Data Engineering, 19(5), 711–725.
Johnson, M., Brown, K., & Davis, L. (2019). Personalized Content and Fan Engagement in Sports. Sports Marketing Quarterly.
Khan, M. L. (2017). Social media engagement: What motivates user participation and consumption on YouTube? Computers in Human Behavior, 66, 236–247.
Purwaningtyas, R. Y., Berto, A. R., & Murwani, E. (2023). Di Balik Fanatisme Suporter Indonesia: Mobilisasi Dukungan Politik Melalui Tagar# SepakbolaKanjuruan vs# DukungPSSI 2022. Jurnal Komunikasi Profesional, 7(3), 455–473.
Putri, F. B. V., Susilo, D., & Berto, A. R. (2022). Jaringan dan Komentar Viral Marketing Pantene Indonesia Miracles Hair Supplement Baru Pada Akun Youtube Pantene Indonesia. Jurnal Komunikasi Profesional, 6(3), 212–229.
Salmen, A., & Ahmed, M. B. (2018). Knowledge Sharing in Social Media as Moderating Variable between Social Capital Online and Response to Humanitarian Crises. Journal of Mass Communication & Journalism.
Susarla, A., Oh, J.-H., & Tan, Y. (2012). Social networks and the diffusion of user-generated content: Evidence from YouTube. Information Systems Research, 23(1), 23–41.
Vlachos, P. A., Theotokis, A., Pramatari, K., & Vrechopoulos, A. (2010). Consumer‐retailer emotional attachment: Some antecedents and the moderating role of attachment anxiety. European Journal of Marketing, 44(9/10), 1478–1499.
Wasserman, S., & Faust, K. (1994). Social Network Analysis. Cambridge University Press.
Zhang, Y., Fu, J., Lai, J., Deng, S., Guo, Z., Zhong, C., Tang, J., Cao, W., & Wu, Y. (2024). Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review. Journal of Medical Internet Research, 26, e51496.
Zinderen, A. (2021). Youtube ortamındaki haberciliği haritalandırmak: Gazetecilerin Youtube haber kanalları üzerine tanımlayıcı bir çalışma. Atatürk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 25(3), 932–950.
Akram, S., & Kortam, W. (2020). The impact of customer experience in online brand communities on customer engagement and purchase intentions among Arab internet users: theoretical analysis, conceptual framework and research agenda. Business and Management Studies, 6(3), 26–54.
Amimeur, T., Shaver, J. M., Ketchem, R. R., Taylor, J. A., Clark, R. H., Smith, J., Van Citters, D., Siska, C. C., Smidt, P., & Sprague, M. (2020). Designing feature-controlled humanoid antibody discovery libraries using generative adversarial networks. BioRxiv, 2004–2020.
Anderson, B., & Cole, R. (2021). The Impact of Online Fan Interaction on Team Support. International Journal of Sport Communication.
Borgatti, S. P., Everett, M. G., & Johnson, J. C. (2013). Centrality. Analyzing Social Networks, 189–208.
Calder, B. J., Malthouse, E. C., & Maslowska, E. (2016). Brand marketing, big data and social innovation as future research directions for engagement. Journal of Marketing Management, 32(5–6), 579–585.
Charmaz, K. (2014). Constructing grounded theory (introducing qualitative methods series). Constr. Grounded Theory.
Chauhan, P., Sharma, N., & Sikka, G. (2023). Application of Twitter sentiment analysis in election prediction: a case study of 2019 Indian general election. Social Network Analysis and Mining, 13(1), 88.
Cheng, X., et al. (2017). Online Social Networks: Functions, Risks, and Their Influence on Well-Being. Journal of Computer-Mediated Communication.
Fung, B. C. M., Wang, K., & Philip, S. Y. (2007). Anonymizing classification data for privacy preservation. IEEE Transactions on Knowledge and Data Engineering, 19(5), 711–725.
Johnson, M., Brown, K., & Davis, L. (2019). Personalized Content and Fan Engagement in Sports. Sports Marketing Quarterly.
Khan, M. L. (2017). Social media engagement: What motivates user participation and consumption on YouTube? Computers in Human Behavior, 66, 236–247.
Purwaningtyas, R. Y., Berto, A. R., & Murwani, E. (2023). Di Balik Fanatisme Suporter Indonesia: Mobilisasi Dukungan Politik Melalui Tagar# SepakbolaKanjuruan vs# DukungPSSI 2022. Jurnal Komunikasi Profesional, 7(3), 455–473.
Putri, F. B. V., Susilo, D., & Berto, A. R. (2022). Jaringan dan Komentar Viral Marketing Pantene Indonesia Miracles Hair Supplement Baru Pada Akun Youtube Pantene Indonesia. Jurnal Komunikasi Profesional, 6(3), 212–229.
Salmen, A., & Ahmed, M. B. (2018). Knowledge Sharing in Social Media as Moderating Variable between Social Capital Online and Response to Humanitarian Crises. Journal of Mass Communication & Journalism.
Susarla, A., Oh, J.-H., & Tan, Y. (2012). Social networks and the diffusion of user-generated content: Evidence from YouTube. Information Systems Research, 23(1), 23–41.
Vlachos, P. A., Theotokis, A., Pramatari, K., & Vrechopoulos, A. (2010). Consumer‐retailer emotional attachment: Some antecedents and the moderating role of attachment anxiety. European Journal of Marketing, 44(9/10), 1478–1499.
Wasserman, S., & Faust, K. (1994). Social Network Analysis. Cambridge University Press.
Zhang, Y., Fu, J., Lai, J., Deng, S., Guo, Z., Zhong, C., Tang, J., Cao, W., & Wu, Y. (2024). Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review. Journal of Medical Internet Research, 26, e51496.
Zinderen, A. (2021). Youtube ortamındaki haberciliği haritalandırmak: Gazetecilerin Youtube haber kanalları üzerine tanımlayıcı bir çalışma. Atatürk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 25(3), 932–950.