Visualization of Hashtag War in digital activism spontaneous on social media
DOI:
https://doi.org/10.12928/commicast.v6i3.14532Keywords:
Critical discourse analysis, Digital political communication, Hashtag war, Norman Fairclough, Social media visualizationAbstract
This study explores visualization patterns in Indonesia’s spontaneous digital activism through three major hashtags, #KaburAjaDulu, #ResetIndonesia, and #fyp, using Norman Fairclough’s Critical Discourse Analysis (CDA). A total of 300 social media posts from Twitter (X), Instagram, and TikTok were purposively selected and analyzed at three levels: textual, discursive, and social practice. The results reveal that each hashtag demonstrates distinct visual and narrative strategies shaped by the issue context, participating actors, and distribution mechanisms. #KaburAjaDulu reflects spontaneous satire and public frustration through memes and videos, #ResetIndonesia articulates reformist discourse via structured visuals such as infographics and digital posters, while #fyp functions as an algorithmic amplification strategy on TikTok. These visualizations construct dominant and counter-narratives that reflect broader socio-political tensions and digital resistance. The study contributes to digital political communication scholarship by integrating visual discourse analysis with critical theory, offering new insights into how visual symbols and platform algorithms collectively shape public opinion and facilitate collective engagement in Indonesia’s evolving online political sphere.
References
Alam, A. M. (2024). Analisis Wacana Kritis pada Pidato Presiden Tahun 2022: Model Norman Fairclough. In Jurnal Onoma: Pendidikan, Bahasa, Dan Sastra. 10(1), 169-181. https://e-journal.my.id/onoma/article/view/3163
Ali, D. J., & Eriyanto. (2021). Political polarization and selective exposure of social media users in indonesia. Jurnal Ilmu Sosial Dan Ilmu Politik, 24(3). https://doi.org/10.22146/JSP.58199
Arabboyevich, M. B. (2024). The Development History And Significance Of Hashtags In Social Networks. IMRAS. https://journal.imras.org/index.php/sps/article/view/1354
Asiyah, S., & Hakim, M. L. (2022). Counter Strategy of Transnational Islamic Movement through Structural Da'wah. In Islamic Review: Jurnal Riset Dan Kajian Keislaman, 11(2), 211-224. https://journal.ipmafa.ac.id/index.php/islamicreview/article/view/507
Baumann, F., Arora, N., Rahwan, I., & Czaplicka, A. (2025). Dynamics of Algorithmic Content Amplification on TikTok. ArXiv Preprint ArXiv. https://arxiv.org/abs/2503.20231
Belcastro, L., Cantini, R., Marozzo, F., Talia, D., & Trunfio, P. (2020). Learning political polarization on social media using neural networks. IEEE Access, 8. https://doi.org/10.1109/ACCESS.2020.2978950
Berger, A. A. (2018). Media and communication research methods: An introduction to qualitative and quantitative approaches. books.google.com.
Boeker, M., & Urman, A. (2022). An Empirical Investigation of Personalization Factors on TikTok. Proceedings of the ACM Web Conference 2022, 2298–2309. https://doi.org/10.1145/3485447.3512102
Calabresi, L., & Zizza, M. (2025). From Violence to Virality: A Quantitative Analysis of Online Conversations Following the 2024 Terrorist Attacks in Germany. MIMESIS, 6(2), 127–142. https://doi.org/10.12928/mms.v6i2.13921
Danaditya, A., Ng, L. H. X., & Carley, K. M. (2022). From curious hashtags to polarized effect: profiling coordinated actions in indonesian twitter discourse. In Social Network Analysis and Mining. Springer. https://doi.org/10.1007/s13278-022-00936-2
Dungse, Y., Opeyemi, M., & Chidozie, O. (2018). Social Media, Political Mobilisation and Paticipatory Politics in Nigeria.
Eriyanto, E. (2020). Hashtags and Digital Movement of Opinion Mobilization: A Social Network Analysis/SNA Study on #BubarkanKPAI vs #KamiBersamaKPAI Hashtags. Jurnal Komunikasi Indonesia, 8(3). https://doi.org/10.7454/jki.v8i3.11591
Fairclough, N. (2013). Critical discourse analysis: The critical study of language. api.taylorfrancis.com. https://api.taylorfrancis.com/content/books/mono/download?identifierName=doi&identifierValue=10.4324/9781315834368&type=googlepdf
Flick, U. (2018). An Introduction to Qualitative Research, Sage Publications.
Gu, Y., & Kejriwal, M. (2018). Unsupervised hashtag retrieval and visualization for crisis informatics. ArXiv Preprint ArXiv:1801.05906. https://arxiv.org/abs/1801.05906
Hassan, A. (2018). Language, media, and ideology: Critical discourse analysis of Pakistani news bulletin headlines and its impact on viewers. Sage Open. https://doi.org/10.1177/2158244018792612
Hastuti, H., Andy Ary Maulana, A. A. M. W., & Iska, I. (2022). role of social media Instagram of community towards tourism promotion in Baubau City. COMMICAST, 3(3), 201–210. https://doi.org/10.12928/commicast.v3i2.5957
Klug, D., Qin, Y., Evans, M., & Kaufman, G. (2021). Trick and Please. A Mixed-Method Study On User Assumptions About the TikTok Algorithm. 13th ACM Web Science Conference 2021, 84–92. https://doi.org/10.1145/3447535.3462512
Kostygina, G., Feng, M., Czaplicki, L., Tran, H., Tulsiani, S., Perks, S. N., Emery, S., & Schillo, B. (2021). Exploring the Discursive Function of Hashtags: A Semantic Network Analysis of JUUL-Related Instagram Messages. Social Media + Society, 7(4). https://doi.org/10.1177/20563051211055442
Li, Y. (2022). Network Public Opinion Crisis Early Warning Model of Mobile Social Platform (pp. 743–749). https://doi.org/10.1007/978-3-030-89511-2_98
Listiyapinto, R. Z. (2024). Analisis wacana kritis dalam film Budi Pekerti: Critical discourse analysis in Budi Pekerti film. Wacana: Jurnal Bahasa, Seni, Dan Pengajaran. https://ojs.unpkediri.ac.id/index.php/bind/article/view/21749
Lorenz-Spreen, P., Mønsted, B. M., Hövel, P., & Lehmann, S. (2019). Accelerating dynamics of collective attention. Nature Communications, 10(1), 1759. https://doi.org/10.1038/s41467-019-09311-w
Maella, N. F. S., Farida, Fadilah, M. R. I., Rahaja, A., & Prasetyo, I. J. (2025). Pelatihan Kompetensi Anti-Hoax Di Media Sosial Bagi Mahasiswa Kreatif Jawa Timur. SEPAKAT Sesi Pengabdian Pada Masyarakat, 4(2), 44–61. https://doi.org/10.56371/sepakat.v4i2.409
Mayuuf, P. H. H., & Mahdi, S. H. (2024). A Socio-Semantic Analysis of Hashtag Activism on Twitter. Journal of Media,Culture and Communication, 43, 1–9. https://doi.org/10.55529/jmcc.43.1.9
Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook. 3rd. Thousand Oaks, CA: Sage.
Mushtaq, S., Sadia, H., & Baig, F. (2025). Between Humor and Harm: Political Memes and Their Effects on Youth’s Political Efficacy. Human Nature Journal of Social Sciences, 6(2), 226–234. https://doi.org/10.71016/hnjss/2v62k225
Peng, L.-J., Shao, X.-G., & Huang, W.-M. (2021). Research on the Early-Warning Model of Network Public Opinion of Major Emergencies. IEEE Access, 9, 44162–44172. https://doi.org/10.1109/ACCESS.2021.3066242
Qurroh ’Aini, F. S., Syam Maella, N. F., & Zulaikha, Z. (2025). Komunikasi Politik Digital Pada Akun Tiktok @PartaiGerindra. Jurnal Multidisiplin West Science, 4(03), 255–268. https://doi.org/10.58812/jmws.v4i03.2086
Ridlo, A. Z., Rievai, R. A., Yuningsih, S. R., Mahalani, E. R., & Nisa, P. K. (2024). Ruang Publik Baru Melalui Desain Di Media Sosial. Jurnal Ilmu Komunikasi Dan Sosial Politik. http://jurnal.ittc.web.id/index.php/jiksp/article/view/1106
Robinson, A. (2016). Visual Methodologies: An Introduction To Researching With Visual Materials 4th Edition/Visual, Narrative And Creative Research. British Journal of Community Justice. https://search.proquest.com/openview/ccb2e323f1f01327d6940f6c0e8605b4/1?pq-origsite=gscholar&cbl=38621
Siregar, I. (2022). Semiotics analysis in the Betawi traditional wedding" Palang Pintu": The study of semiotics Roland Barthes. In International Journal of Linguistics Studies. pdfs.semanticscholar.org. https://pdfs.semanticscholar.org/d3b1/f7816410ba3aaaeaa8c815c1e00a568297bb.pdf
Suryana Putra, A., Rizka Aditriyana, M., Sri Widya, N., & Fachrul Nurhadi, Z. (2023). Meme Politik Sebagai Representasi Komunikasi Kritis Di Media Sosial. Jurnal Syntax Fusion, 3(09), 1004–1017. https://doi.org/10.54543/fusion.v3i09.363
Syahrani, S. (2021). Anwaha’s Education Digitalization Mission. Indonesian Journal of Education (INJOE). https://www.injoe.org/index.php/INJOE/article/view/5
Weikmann, T., & Lecheler, S. (2023). Visual disinformation in a digital age: A literature synthesis and research agenda. New Media & Society, 25(12), 3696–3713. https://doi.org/10.1177/14614448221141648
Zunariyah, S., Suharko, S., & Suharman, S. (2022). Proses Politik Berlapis Dalam Gerakan Restorasi Sungai. Jurnal Analisa Sosiologi. https://jurnal.uns.ac.id/jas/article/view/60645
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