Freedom of Comment and Emotional Expression of Netizens: Sentiment Analysis of Netizens' Comments on the Video Broadcast of President Prabowo Subianto's Interview Answering on the YouTube Channel Narasi TV Newsroom

Jayus

Freedom of Comment and Emotional Expression of Netizens: Sentiment Analysis of Netizens' Comments on the Video Broadcast of President Prabowo Subianto's Interview Answering on the YouTube Channel Narasi TV Newsroom

Authors

Jayus Universitas Muhammadiyah Riau

Keywords:

Freedom of Comment, Netizens, YouTube, Public Space, Prabowo Subianto, Big Data Analytics,

Abstract

Social media such as YouTube is used by people as a place to express their opinions, voices, impressions, and even anger on the issues being discussed, including political issues. This study was conducted to see how netizens' manners in the digital space with the sentiments conveyed in the comment column on President Prabowo Subianto's video interview with six editors-in-chief of national media on the Narasi Newsroom YouTube channel. The method used is quantitative based on big data analytics to find out the expression patterns of netizens through comment sentiment analysis. This approach is seen as capable of processing large amount of data and it is impossible to analyze with traditional methods. The steps are done Scraping or Crawling. Data collection is done using the python programming language and executed using the Google Colab platform. After that, thousands of comments were analyzed to be classified into sentiments in three forms. It found that 88% of comments were neutral, 9% positive, and 3% negative. Furthermore, wordcloud visualization, comment length histogram, word correlation heatmap, and image sentiment distribution. The figures of Prabowo Subianto, Lalu Mara Satriawangsa, Uni Lubis and Najwa Shihab emerged as the center of attention, with a diverse spectrum of emotions. These findings show that Digital Literacy influences the pattern of public emotional expression and shows how the comment space becomes an arena for social representation, in the form of support, criticism, and passive participation. This research underscores the importance of integrating sentiment analysis in understanding digital political communication in Indonesia.

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References

Alhassan, M. A., & Pennington, D. R. (2022). YouTube as a Helpful and Dangerous Information Source for Deliberate Self-harming Behaviours. In M. Smits (Ed.), Information for a Better World: Shaping the Global Future (Vol. 13193, pp. 347–362). Springer International Publishing. https://doi.org/10.1007/978-3-030-96960-8_23

BeritaSatu.com. (2025). Prabowo's Interview with 7 Journalists, Observers: Extraordinary Breakthroughs. beritasatu.com. https://www.beritasatu.com/nasional/2881851/wawancara-prabowo-dengan-7-jurnalis-pengamat-terobosan-luar-biasa

Boon-Itt, S., & Skunkan, Y. (2020). Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study. JMIR Public Health and Surveillance, 6(4), e21978. https://doi.org/10.2196/21978

CNN Indonesia (Director). (2025). FULL President Prabowo Answers Questions from Six National Media Editors-in-Chief [Video recording]. https://www.youtube.com/watch?v=jiP96n4z4Lk

David, R. S. (2021). The Role of Political Communication in Shaping Public Opinion: A Comparative Analysis of Traditional and Digital Media. Journal of Public Representative and Society Provision, 1(2), 63–69. https://doi.org/10.55885/jprsp.v1i2.241

Fahmi, R. A. J., Nur, W. M., Canawine, D., Kusumajaya, M. N., Fadhlillah, A. F., & Rakhmawati, N. A. (2024). ANALYSIS OF PUBLIC SENTIMENT TOWARDS THE PERSONAL DATA PROTECTION LAW ON TWITTER SOCIAL MEDIA USING THE SUPPORT VECTOR MACHINE METHOD. METHODIKA: Journal of Informatics and Information Systems Engineering, 10(1), 6–10. https://doi.org/10.46880/mtk.v10i1.2335

Hwang, H., Kim, Y., & Huh, C. U. (2014). Seeing is Believing: Effects of Uncivil Online Debate on Political Polarization and Expectations of Deliberation. Journal of Broadcasting & Electronic Media, 58(4), 621–633. https://doi.org/10.1080/08838151.2014.966365

Ibrahim, Z., Muhammad, R., & Muhammad, S. (2023). SOCIAL FUNCTION OF PUBLIC SPACE (Case Study of the Maritime Space of Makassar City). GLOBAL SCIENTIFIC JOURNAL OF EDUCATION, 4(3), 1411–1419. https://doi.org/10.55681/jige.v4i3.965

IDN Times (Director). (2025). President Prabowo's Outspoken Response to the TNI Law and Student Demonstrations [Video recording]. https://www.youtube.com/watch?v=nCiiordl0vk

King, C. M., & McCashin, D. (2022). Commenting and connecting: A thematic analysis of responses to YouTube vlogs about borderline personality disorder. Internet Interventions, 28, 100540. https://doi.org/10.1016/j.invent.2022.100540

Kompas.com (Director). (2025a, April 9). [FULL] Prabowo's Meeting with 6 Media Editors in Hambalang [Video recording]. https://www.youtube.com/watch?v=-a7Fab2ebsU

Kompas.com. (2025b, April 12). Netizens' Sentiments on President Prabowo's Interview Broadcast. Kompas.id. https://www.kompas.id/artikel/sentimen-warganet-terhadap-tayangan-wawancara-presiden-prabowo

Kunneman, F., Lambooij, M., Wong, A., Bosch, A. v. d., & Mollema, L. (2020). Monitoring Stance Towards Vaccination in Twitter Messages. BMC Medical Informatics and Decision Making, 20(1). https://doi.org/10.1186/s12911-020-1046-y

Lestari, U., & Anugrahni, D. (2021). Sentiment Analysis of Performance Effectiveness of Malioboro Pedestrian Using Sentistrength Method on Twitter. Journal of Technology Acceptance Model, 12(1), 75. https://doi.org/10.56327/jurnaltam.v12i1.1044

liputan6.com (Director). (2025). Prabowo Talks About Plummeting JCI, TNI Police Bill, Trump Tariffs, & Government Communications Highlighted [Video recording]. https://www.youtube.com/watch?v=wmIdn68vCew

Liu, C., & Chen, C. (2024). Text mining and sentiment analysis: A new lens to explore the emotion dynamics of mother‐child interactions. Social Development, 33(3), e12733. https://doi.org/10.1111/sode.12733

Madathil, K. C., Rivera-Rodriguez, A. J., Greenstein, J. S., & Gramopadhye, A. K. (2015). Healthcare information on YouTube: A systematic review. Health Informatics Journal, 21(3), 173–194. https://doi.org/10.1177/1460458213512220

Maulida, S. (2024). Sentiment Analysis of Qardh Hasan Scheme. Tj, 2(2). https://doi.org/10.58968/tj.v2i2.373

Müller, K., & Schwarz, C. (2021). Fanning the Flames of Hate: Social Media and Hate Crime. Journal of the European Economic Association, 19(4), 2131–2167. https://doi.org/10.1093/jeea/jvaa045

Narasi Newsroom (Director). (2025, April 7). President Prabowo Answered [Video recording]. https://www.youtube.com/watch?v=gP0YCMCJnjA

Nasution, L. (2020). The Right to Freedom of Opinion and Expression in Public Space in the Digital Era. 'IS, 4(3). https://doi.org/10.15408/adalah.v4i3.16200

Neyazi, T. A., Kuru, O., & Mukerjee, S. (2023). Political Campaign Ads on Facebook: Investigating the Effects of Incivility in Videos and User Comments on Affective Polarization and Mobilization. https://doi.org/10.31219/osf.io/9npu2

Park, C. S., Liu, Q., & Kaye, B. K. (2021). Analysis of Ageism, Sexism, and Ableism in User Comments on YouTube Videos About Climate Activist Greta Thunberg. Social Media + Society, 7(3), 20563051211036059. https://doi.org/10.1177/20563051211036059

Pohan, A. B., Irmawati, I., & Kurniasih, A. (2024). Optimization of Classification Algorithm With GridSearchCV and Hyperparameter Tuning for Sentiment Analysis of the Nusantara Capital City. J. Of Art. Intell. and Eng. Appl., 3(3), 808–814. https://doi.org/10.59934/jaiea.v3i3.514

Pool, J., Namvar, M., Akhlaghpour, S., & Fatehi, F. (2022). Exploring public opinion about telehealth during COVID-19 by social media analytics. Journal of Telemedicine and Telecare, 28(10), 718–725. https://doi.org/10.1177/1357633X221122112

Porreca, A., Scozzari, F., & Di Nicola, M. (2020). Using text mining and sentiment analysis to analyse YouTube Italian videos concerning vaccination. BMC Public Health, 20(1), 259. https://doi.org/10.1186/s12889-020-8342-4

Prabowo Meets with 6 Editors and a TV Presenter, Answers Questions on Current Issues | tempo.co. (2025, April 6). Tempo. https://www.tempo.co/politik/prabowo-bertemu-dengan-6-pemred-dan-seorang-presenter-tv-jawab-soal-isu-terkini-1228106

Riyanto, D. A., Priyanto, P., & Midhio, I. W. (2023). The Role of Social Media in Building Public Opinion on the Covid-19 Pandemic and Its Impact on National Defense. European Journal of Humanities and Social Sciences, 3(3), 132–138. https://doi.org/10.24018/ejsocial.2023.3.3.461

Song, M., Jeong, Y. K., & Kim, H. J. (2015). Identifying the topology of the K ‐pop video community on Y ou T ube: A combined C o‐comment analysis approach. Journal of the Association for Information Science and Technology, 66(12), 2580–2595. https://doi.org/10.1002/asi.23346

Tsai, M. H., & Wang, Y. (2021). Analyzing Twitter Data to Evaluate People’s Attitudes Towards Public Health Policies and Events in the Era of COVID-19. International Journal of Environmental Research and Public Health, 18(12), 6272. https://doi.org/10.3390/ijerph18126272

tvonenews (Director). (2025). [LIVE] Without Censorship, President Prabowo Subianto Talks Performance | The President meets the media [Video recording]. https://www.youtube.com/watch?v=9EiZ-fmQkW4

Van Duyn, E., & Muddiman, A. (2022). Predicting perceptions of incivility across 20 news comment sections. Journalism, 23(1), 134–152. https://doi.org/10.1177/1464884920907779

Wahyuningtyas, P. (2025, April 8). Link to Watch Interview with Prabowo and 6 Mass Media Editors. tirto.id. https://tirto.id/link-nonton-wawancara-prabowo-dan-6-pemred-media-massa-hadz

Wang, S., Schraagen, M., Etk, S., & Dastani, M. (2020). Dutch General Public Reaction on Governmental COVID-19 Measures and Announcements in Twitter Data. https://doi.org/10.48550/arxiv.2006.07283

Yu, X., Ferreira, M. D., & Paulovich, F. V. (2021). Senti-Covid19: An Interactive Visual Analytics System for Detecting Public Sentiment and Insights Regarding COVID-19 From Social Media. IEEE Access, 9, 126684–126697. https://doi.org/10.1109/access.2021.3111833

Zakiyah, Z., Agnia, R., Handayani, H. S., Davika, Z., Ramdani, A., & M. Z Syafiq, M. Z. S. (2024). Public Discourse and the Relevance to the Legitimacy of Power from Habermas' Theory. Public Sphere: Journal of Socio-Political, Government and Law, 3(2). https://doi.org/10.59818/jps.v3i2.807

Zhang, T., & Cheng, C. (2021). Temporal and Spatial Evolution and Influencing Factors of Public Sentiment in Natural Disasters—A Case Study of Typhoon Haiyan. ISPRS International Journal of Geo-Information, 10(5), 299. https://doi.org/10.3390/ijgi10050299

Zhang, T., Schoene, A. M., Ji, S., & Ananiadou, S. (2022). Natural language processing applied to mental illness detection: A narrative review. Npj Digital Medicine, 5(1), 46. https://doi.org/10.1038/s41746-022-00589-7

Zhao, Y., & Xu, H. (2020). Chinese Public Attention to COVID-19 Epidemic: Based on Social Media. https://doi.org/10.1101/2020.03.18.20038026

Freedom of Comment and Emotional Expression of Netizens: Sentiment Analysis of Netizens' Comments on the Video Broadcast of President Prabowo Subianto's Interview Answering on the YouTube Channel Narasi TV Newsroom