Sentiment Analysis of Twitter Netizens on Hashtag #Gitasav towards Childfree Opinion Using Social Network Analysis
Abstract
Childfree has become a hot topic of conversation, especially on Indonesian social media. Gita Savitri's controversial statement about her decision to be childfree program uploaded on her personal Instagram video reels attracted the attention of Indonesian netizens and eventually became trending on Twitter. According to Gita Savitri, childfree is the secret to staying young and having many children can make a woman look older. The pupose of this research is to determine the sentiment of netizens towards Gita Savitri's statement on the social media Twitter. This research uses the SNA or Social Network Analysis method using a web-based application, Netlytics.org. The result of this study is indicate that there is a positive sentiment in the statement childfree makes women look younger. Some netizens support this statement, but not many also disagree. There are 10 accounts whose tweets are most responded to, such as @hoshii071, @strategi_bisnis, @bemynotomymin, @fakhta, @thisisreparo, @footycinephile, @fikfinicky990, @yogisuprastrian, and @mufalbania. Therefore, in this article we will discuss netizen sentiment regarding Gita Savitri's statement regarding childfree making the face look youthful.
Downloads
References
Creswell, J. W. (2010). Research Design: Pendekatan Kualitatif, Kuantitatif, dan Mixed. PT. Pustaka Pelajar.
Eriyanto. (2014). Analisis Jaringan Komunikasi Strategi Baru dalam Penelitian Ilmu Komunikasi dan Ilmu Sosial Lainnya. KENCANA.
Fadhilah, E. (2022). Childfree Dalam Pandangan Islam. Al-Mawarid Jurnal Syariah Dan Hukum (JSYH), 3(2), 71–80. https://doi.org/10.20885/mawarid.vol3.iss2.art1
Fitriyah, P., & Kamilah, N. A. (2022). KOMUNIKASI POLITIK PADA KONTEN@ KORANTEMPO DI TWITTER MENGGUNAKAN SOCIAL NETWORK ANALYSIS. Jurnal Ilmu Komunikasi, 12(1), 66–78.
Fitriyyah, S. N. J., Safriadi, N., & Pratama, E. E. (2019). Analisis Sentimen Calon Presiden Indonesia 2019 dari Media Sosial Twitter Menggunakan Metode Naive Bayes. Jurnal Edukasi Dan Penelitian Informatika (JEPIN), 5(3), 279. https://doi.org/10.26418/jp.v5i3.34368
Krisyantono. (2007). Teknik Praktis Riset Komunikasi: Disertai Contoh Praktis Riset Media, Public Relations, Advertising, Komunikasi Organisasi, Komunikasi Pemasaran. KENCANA.
Nursiyono, J. A., & Chotimah, C. (2021). Analisis Sentimen Netizen Twitter terhadap Pemberitaan PPN Sembako dan Jasa Pendidikan dengan Pendekatan Social Network Analysis dan Naive Bayes Classifier. J Statistika: Jurnal Ilmiah Teori Dan Aplikasi Statistika, 14(1), 52–58. https://doi.org/10.36456/jstat.vol14.no1.a3868
Rizali Rakhman, F., Wulan Ramadhani, R., & Ari Kuncoroyakti, Y. (2021). ANALISIS SENTIMEN DAN OPINI DIGITAL KAMPANYE 3M DI MASA COVID-19 MELALUI MEDIA SOSIAL TWITTER. Maret, 18(8).
Sabily, A. F., Adikara, P. P., & Fauzi, M. A. (2019). Analisis Sentimen Pemilihan Presiden 2019 pada Twitter menggunakan Metode Maximum Entropy (Vol. 3, Issue 5). http://j-ptiik.ub.ac.id
Siswanto, A. W., & Neneng Nurhasanah. (2022). Analisis Fenomena Childfree di Indonesia. Bandung Conference Series: Islamic Family Law, 2(2). https://doi.org/10.29313/bcsifl.v2i2.2684
Utami, S. R., Safitri, R. N., & Kuncoroyakti, Y. A. (2021). Analisis Jaringan dan Aktor #BatalkanOmnibusLaw di Media Sosial Twitter Menggunakan Social Network Analysis (SNA). 4(3), 135–148.
Copyright (c) 2023 Proceedings of International Conference on Da'wa and Communication
This work is licensed under a Creative Commons Attribution 4.0 International License.
Author(s) who publish with this proceeding agree to the following terms:
Author(s) retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this proceeding.
Author(s) are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this proceeding.
Author(s) are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See the Effect of Open Access).
The Proceedings of International Conference on Da’wa and Communication by the Da’wa and Communication Faculty of the Sunan Ampel State Islamic University Surabaya, Indonesia is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
